CN103957389A - 3G video transmission method and system based on compression sensing - Google Patents
3G video transmission method and system based on compression sensing Download PDFInfo
- Publication number
- CN103957389A CN103957389A CN201410200160.0A CN201410200160A CN103957389A CN 103957389 A CN103957389 A CN 103957389A CN 201410200160 A CN201410200160 A CN 201410200160A CN 103957389 A CN103957389 A CN 103957389A
- Authority
- CN
- China
- Prior art keywords
- video
- data
- compressed sensing
- network
- transmission
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
The invention provides a 3G video transmission method and system based on compression sensing in a video monitoring scene, and belongs to the field of data compression and video transmission. After the format of video information collected by a camera is converted into the YUV format through color space conversion, H.264 coding is conducted, compression processing of compression sensing is conducted on coded data, video data streams obtained through compression are transmitted in a 3G network according to the RTSP protocol and the RTP/RTCP protocol, and reconstruction processing of compression sensing and the H.264 decoding process are conducted at a terminal so that restored video information can be obtained. Compression sensing is combined with the RTSP protocol and the RTP/RTCP protocol to be used in the 3G video transmission system, and therefore the system can meet the requirement for instantaneity of video transmission from the aspects of control and data, the system has the self-adaption video coding speed and network transmission speed regulation function, the size of the data transmitted through a network can be greatly reduced, broadband resources are saved, and the transmission efficiency of the system is improved.
Description
Technical field
The present invention relates to a kind of Video transmission system, belong to data compression and field of video transmission, 3G video transmission method and system based on compressed sensing in especially a kind of video monitoring.
Background technology
Development along with the communication technology, 3G wireless network CDMA2000-1X EVDO network puts it into commercial operation comprehensively, as the most ripe wireless network of development, having the key technologies such as the forward link of advanced front end and scheduling of resource, there is being to far-reaching influence the aspects such as following mobile communication, transmission of video, supervisory control system.Meanwhile, in communication network, transmission of video business also becomes more and more important, and well-known, the feature of video itself is that data volume is huge, thereby in transmitting procedure, needs very large bandwidth.Because video itself has sizable redundancy, people design various compression methods, before transmission of video, compress on a large scale, existing method is to adopt MPEG series or H26x series compression scheme, adopt the method for predictive coding and transition coding to compress the sequence of video, then carried out chnnel coding and send, these class methods have obtained remarkable effect in the good network of more existing transmission conditions.
But this similar MPEG and H26x scheme, in transmission in wireless network effect bad, are traced it to its cause, and are fundamentally that the high bit-error of wireless channel itself is, the restriction of the factors such as the randomness of error code and limited bandwidth.Can be divided into specifically following two aspects: first the scheme of predictive coding and transition coding makes to have very large dependence between coding frame of video out, suppose that a certain key frame loses in transmitting procedure, follow-uply take the frame that former frame is reference and just cannot be correctly decoded, this will cause serious mess code effect.Secondly, in the process of Video coding, also inhomogeneous through the distribution of key content in coded data, as the importance of motion vector data in video will be higher than background data.On wireless channel, there is random loss event, if lose motion vector data, more difficultly in recovery process recover distortionless image, and when loss be background data time, just can make up by certain algorithm the impact that this loss is brought.
Compressed sensing is the important breakthrough of signal processing theory in recent years, it has broken the restriction of traditional nyquist sampling theorem, this theory shows: if signal is sparse or compressible at certain transform domain, just can adopt a kind of mathematical projection method to carry out whole measurement to signal, utilize one with the incoherent observing matrix of transform-based, the high dimensional signal of conversion gained to be projected on a lower dimensional space, the measured value a small amount of according to these, just can realize the Accurate Reconstruction of signal by solving protruding optimization problem.For the video information in monitoring, owing to itself thering is the feature of larger redundancy, and video monitoring scene has certain requirement to the fluency of whole video, but it is not very high that the definition of picture is required, and H.264 compressed sensing can further compressed video data after coding, greatly reduce the volume of transmitted data in network, ensure the real-time of video streaming; And carry out compressed sensing reconstruct at receiving terminal, can comparatively accurately recover video data according to the low volume data by receiving, this can have certain robustness to the channel disturbance in wireless network.Therefore the 3G transmission of video, compressive sensing theory being applied in video monitoring has important using value.
Summary of the invention
The present invention is intended to solve in video monitoring scene, in conventional video transmission plan the data volume that passes larger, and be easily subject to the deficiency that characteristics of radio channels disturbs, a kind of 3G video transmission method and system based on compressed sensing proposed to special innovation.
In order to realize above-mentioned purpose of the present invention, a kind of 3G video transmission method based on compressed sensing, its key is, comprises the steps:
Step 1, camera collection video information is also carried out color mode conversion;
Step 2, carries out Video coding to the video information collecting;
Step 3, carries out the compression of compressed sensing and processes to the video data after coding;
Step 4, transmits the video data stream after compressed sensing compression processing by host-host protocol;
Step 5, after the data flow of receiving in end-on is carried out the reconstruction processing and video decode of compressed sensing, the video information being restored.
The beneficial effect of technique scheme is: compressive sensing theory is applied in the middle of 3G transmission of video, first, video sequence is after compressed sensing coding is processed, what form is some structureless data, and between these data, there is not correlation feature, and for a two field picture, the quality of reconstruct only depends on the number of receiving data volume, that is to say, importance between data is complete equality, the loss of the data of equal number is that average sharing to a whole frame video gone for a whole frame video arbitrarily, the anti-interference at 3G transmission in wireless network by augmented video data flow like this, secondly, after H.264 compressed sensing is used in to coding, video data is further compressed afterwards again at transmission in wireless network, greatly reduced the transmission quantity of data, coordinate with RTSP and RTP/RTCP agreement simultaneously, make this system when having met transmission of video requirement of real-time, there is the function of adaptively adjusting video code rate and network transmission speed, improve the efficiency of transmission of system.
The described 3G video transmission method based on compressed sensing, preferred, described step 1 comprises:
Step 1-1, gathers video information, if when the video format that video acquisition end collects is not yuv format, need to carry out color mode conversion, and vision signal is converted to yuv format.
The beneficial effect of technique scheme is: the video information that camera collection is arrived is through color space conversion, be converted to and occupy the yuv format that bandwidth is less, not only reduce to a certain extent the occupancy volume of bandwidth, and facilitated the coding work of subsequent treatment device.
The described 3G video transmission method based on compressed sensing, preferred, described step 2 comprises:
Step 2-1, the H.264 method for video coding of video compression;
Step 2-2, by video intraframe predictive coding, utilizes the spatial coherence between video intra-frame macro block;
Step 2-3, then by video interprediction encoding, utilize the temporal correlation of continuous videos interframe to carry out estimation and compensation;
Step 2-4, then carries out integer transform computing;
Step 2-5, quantizes frame of video;
Step 2-6, carries out after entropy coding frame of video, forms the compress coding data after H.264 processing.
The beneficial effect of technique scheme is: utilize and H.264 the video information collecting is carried out to compressed encoding, according to evaluation and test, under equal picture quality condition, H.264 compression ratio is 2～3 times of MPEG-2, be 1.5～2 times of MPEG-4, the needed bandwidth of video image of therefore transmitting equal data volume in network is relatively low.Therefore, select H.264 coding techniques here, system has had higher compression efficiency and stronger Internet Transmission characteristic.
The described 3G video transmission method based on compressed sensing, is characterized in that, described step 3 comprises:
Step 3-1, H.264 the video data after Video coding is carried out to piecemeal, read a segment length size is the video data of N * N at every turn, is then converted into the matrix-block that a size is N * N, adopts the conversion based on row, read the top n numerical value of this video data, deposited in the first row of matrix-block, then read N numerical value below, deposited in the second row of matrix-block, by that analogy, a last N numerical value deposits last column of matrix-block in;
Step 3-2, the compression that at every turn adopts observation based on matrix-block to carry out compressed sensing is processed, and for the reconstruct efficiency of compressed sensing reconstruct end provides safeguard, also facilitates storage and the real-time Transmission of subsequent video data,
Step 3-3, carries out sparse conversion to video data, and the data block of each N * N is carried out to discrete cosine transform, each sub-block data obtain sparse coefficient matrix through sparse conversion, because sparse coefficient matrix has sparse property, can utilize compressive sensing theory to compress it
Step 3-4, observing matrix is measured: first construct the observing matrix that a size is M * N, M=p*N, wherein p is compression ratio and 0<p<1, resulting sparse matrix in observing matrix and previous step is multiplied each other, at this moment will obtain the observation matrix that a size is M * N, in 3G network, the data of namely this observation matrix of transmission, therefore will greatly reduce the data volume of transmitting in network after the compression process through compressed sensing.
The beneficial effect of technique scheme is: first, video sequence is after compressed sensing coding is processed, what form is some structureless data, and between these data, there is not correlation feature, and for a two field picture, the quality of reconstruct only depends on the number of receiving data volume, that is to say, importance between data is complete equality, the loss of the data of equal number is that average sharing to a whole frame video gone for a whole frame video arbitrarily, the anti-interference at 3G transmission in wireless network by augmented video data flow like this.Secondly, after H.264 compressed sensing is used in to coding, to video data further after compression again at transmission in wireless network, greatly reduced the transmission quantity of data, improve the efficiency of transmission of system.
Described 3G video transmission method and system based on compressed sensing, is characterized in that, described step 4 comprises, the video data stream after compressed sensing compression processing is transmitted by RTSP and RTP/RTCP agreement in 3G network, carries out following steps:
The described 3G video transmission method based on compressed sensing, is characterized in that, described step 4 comprises:
Step 4-1, to load onto respectively realtime transmission protocol RTP header, User Datagram Protoco (UDP) UDP header and procotol IP header through the video flowing that H.264 Video coding and compressed sensing are compressed after processing, utilize realtime transmission protocol RTP to transmit packet, realize the real-time network transmission of video data;
Step 4-2, utilize RTCP Real-time Transport Control Protocol RTCP realize the monitoring of network condition and sent the quantity of packet, the quantity of the packet of loss and the evaluation work of round trip time parameter, utilize application layer protocol real time streaming transport protocol RTSP to set up and control the Continuous Flow media of one or more time synchronized, realize the network remote of Streaming Media and control.
The beneficial effect of technique scheme is: the RTP in RTP/RTCP agreement is for the transmission of packet, can meet the requirement of transmission of video real-time, RTCP feeds back to encoder and sending module by the parameter of reaction network state (delay jitter, packet loss etc.); The Continuous Flow media of one or more time synchronized are set up and controlled to RTSP agreement, realizes the Long-distance Control of Streaming Media, thereby make this video stream transmission system have the function of adaptively adjusting video code rate and network transmission speed.
The described 3G video transmission method based on compressed sensing, preferred, described step 5:
Step 5-1, first at receiving terminal, after receiving procotol IP packet, by contrary order, realtime transmission protocol RTP header and video stream data are extracted, according to the sequence number in realtime transmission protocol RTP header, video stream data is put into receiving terminal buffer memory;
Step 5-2, from reading out data in the buffer memory of receiving terminal, carry out compressed sensing reconstruct, adopt segmentation orthogonal matching pursuit algorithm StOMP, from the M * N matrix-block compression, read the data that a row length scale is M at every turn, multiply each other and obtain residual correlation vector with observing matrix; Then by setting threshold, from observing matrix, choose a plurality of atoms at every turn, form an initial atom set and for upgrading support set; Finally utilize least square method to try to achieve approximate solution, complete the renewal to surplus simultaneously, now check whether end condition meets, if do not met and continue to loop the renewal of surplus and approaching of approximate solution, otherwise, the approximate solution of gained is exactly the reconstruction result to an original M data, length scale is N, finally completes the reconstruct from amount of compressed data M * N to original data volume N * N, and wherein M is much smaller than N, when guaranteeing reconstruction quality, complete faster compressed sensing restructuring procedure;
Step 5-3, reads compressed sensing reconstruct data afterwards and carries out H.264 video decode, after this process, by the video information being restored, finally video information can be stored or is play with yuv format.
The beneficial effect of technique scheme is: first, according to the feedback parameter of RTCP, come self adaptation to regulate video coding rate and network transmission speed: when Internet Transmission bandwidth conditions is bad, by suitable reduction video quality, prevent network congestion, but still can offer the comparatively smooth multimedia transmission service of receiving terminal, when network availability bandwidth is sufficient, improve encoder bit rate and transmission rate, to receiving terminal, provide high-quality Video service; Secondly, adopt the good StOMP of reconstruct efficiency (segmentation orthogonal matching pursuit) algorithm in current compressed sensing, when guaranteeing reconstruction quality, can carry out reconstruct faster to video data.
The described 3G video transmission method based on compressed sensing, preferred, also comprise: step 6, the parameter of feedback RTCP network state, and then adaptively adjusting video code rate and network transmission speed.
The described 3G video transmission method based on compressed sensing, preferred, described step 6:
Step 6-1, QoS FEEDBACK CONTROL has been reported by the recipient of RTCP Real-time Transport Control Protocol RTCP, the stable transfer performance parameter of feedback RTCP Real-time Transport Control Protocol RTCP reflection, according to the available bandwidth of these feedback information estimation networks, according to available bandwidth, dynamically adjust again the parameter of coding, according to the packet loss of RTCP feedback, the information such as delay jitter regulate coding parameter, if packet loss or time delay are larger, be that network condition is when bad, at this moment select larger compression factor, reduce the data volume of transmitting in network, thereby the situation of alleviating network congestion, when network condition is better, adjust coding parameter, reduce compression factor, to terminal, provide good image quality service quality, when network condition is poor, improve compression factor, make to send the available bandwidth that code check is less than network, thereby guarantee the QoS of transmission.
The described 3G video transmission method based on compressed sensing, preferred, described stable transfer performance parameter is delay jitter, packet loss.
The beneficial effect of technique scheme is: the stable transfer performance parameter of feedback RTCP Real-time Transport Control Protocol RTCP reflection, according to the available bandwidth of these feedback information estimation networks, according to available bandwidth, dynamically adjust again the parameter of coding, according to the packet loss of RTCP feedback, the information such as delay jitter regulate coding parameter, if packet loss or time delay are larger, be that network condition is when bad, at this moment select larger compression factor, reduce the data volume of transmitting in network, thereby the situation of alleviating network congestion, when network condition is better, adjust coding parameter, reduce compression factor, to terminal, provide good image quality service quality, when network condition is poor, improve compression factor, make to send the available bandwidth that code check is less than network, thereby guarantee the QoS of transmission.
The present invention also discloses a kind of 3G Video transmission system based on compressed sensing, and its key is, comprising: camera, and audio frequency and video gathers A/D modular converter, audio/video encoding/decoding module, compressed sensing module, memory, display unit, data stream server;
Camera connects audio frequency and video and gathers A/D modular converter data input pin, described audio frequency and video gathers A/D modular converter data output end and connects audio/video encoding/decoding module and compressed sensing module, described audio/video encoding/decoding module and compressed sensing module connected storage, by USB interface, connect 3G network, described 3G network connection data streaming server, described data stream server is connected and is looked display unit by EI network.
In sum, owing to having adopted technique scheme, the invention has the beneficial effects as follows:
1, by color mode, change, by camera collection to video information be converted to and occupy the yuv format that bandwidth is less, not only reduced to a certain extent the occupancy volume of bandwidth, and facilitated the coding work of subsequent sound video processor.
2, adopt more advanced H.264 coding techniques at present, make system there is higher compression efficiency and stronger Internet Transmission characteristic.
3,3G wireless network CDMA2000-1X EVDO network puts it into commercial operation comprehensively, as the most ripe wireless network of development, have the key technologies such as the forward link of advanced front end and scheduling of resource, at aspects such as following mobile communication, transmission of video, supervisory control systems, having far-reaching influence.In native system, by 3G network transmission of video flow data, can give full play to the advantage of 3G wireless network.
4, video data stream is transmitted by RTSP and RTP/RTCP agreement in 3G network, can either meet the requirement of transmission of video real-time, parameter (delay jitter, packet loss etc.) that again can will reflection network state by RTCP thus feed back to encoder and sending module makes this video stream transmission system have the function of adaptively adjusting video code rate and network transmission speed, simultaneously, as the RTSP of application layer protocol, can set up and control the Continuous Flow media of one or more time synchronized, realize Long-distance Control.Therefore, RTSP and RTP/RTCP agreement are used in conjunction with, will provide complete fluidisation service, can make efficiency of transmission optimization effectively to feed back with minimum expense.
5, compressed sensing is applied in H.264 after coding, by greatly reduce the data volume of transmitting in network, the fluency in transmission of video process is played to good guaranteeing role.Simultaneously, even if data are interfered while transmitting in network, there is error code or packet loss, because the quality of compressed sensing reconstruct only depends on the number of receiving data volume, that is to say, the importance between data is complete equality, and the loss of the data of equal number is equivalent for whole N * N data block arbitrarily, compressed sensing algorithm still can be reconstructed data comparatively accurately, thereby strengthens the stability of video data transmitting in 3G wireless network.
6, the compressed sensing restructing algorithm adopting in native system is StOMP (segmentation orthogonal matching pursuit) algorithm, this algorithm has higher reconstruct efficiency, when guaranteeing reconstruction quality, can to video data, be reconstructed faster, improve the efficiency of transmission of video data.
Additional aspect of the present invention and advantage in the following description part provide, and part will become obviously from the following description, or recognize by practice of the present invention.
Accompanying drawing explanation
Fig. 1 the present invention is based on the 3G video transmission method of compressed sensing and the transmission of video flow process figure of system;
Fig. 2 the present invention is based on the compression of compressed sensing algorithm in the 3G video transmission method of compressed sensing and system and recovers flow chart;
Fig. 3 the present invention is based on the 3G video transmission method of compressed sensing and the hardware configuration schematic diagram of system.
Embodiment
Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of identical or similar functions from start to finish.Below by the embodiment being described with reference to the drawings, be exemplary, only for explaining the present invention, and can not be interpreted as limitation of the present invention.
In description of the invention, it will be appreciated that, term " longitudinally ", " laterally ", " on ", orientation or the position relationship of the indication such as D score, 'fornt', 'back', " left side ", " right side ", " vertically ", " level ", " top ", " end " " interior ", " outward " be based on orientation shown in the drawings or position relationship, only the present invention for convenience of description and simplified characterization, rather than indicate or imply that the device of indication or element must have specific orientation, with specific orientation, construct and operation, therefore can not be interpreted as limitation of the present invention.
In description of the invention, unless otherwise prescribed and limit, it should be noted that, term " installation ", " being connected ", " connection " should be interpreted broadly, for example, can be mechanical connection or electrical connection, also can be the connection of two element internals, can be to be directly connected, and also can indirectly be connected by intermediary, for the ordinary skill in the art, can understand as the case may be the concrete meaning of above-mentioned term.
The present invention is directed to the transmission of video information in 3G network, compressive sensing theory has been dissolved in the middle of this system, on the basis that H.264 Efficient Compression is encoded, realize further compression, reduce the data volume that will transmit in wireless network, and reduce to a certain extent wireless channel and disturb the impact producing, improve the efficiency of transmission of system.
As shown in Figure 1, the present invention discloses a kind of 3G video transmission method based on compressed sensing, and its key is, comprises the steps:
Step 1, camera collection video information is also carried out color mode conversion;
Step 2, carries out Video coding to the video information collecting;
Step 3, carries out the compression of compressed sensing and processes to the video data after coding;
Step 4, transmits the video data stream after compressed sensing compression processing by host-host protocol;
Step 5, after the data flow of receiving in end-on is carried out the reconstruction processing and video decode of compressed sensing, the video information being restored.
The beneficial effect of technique scheme is: compressive sensing theory is applied in the middle of 3G transmission of video, first, video sequence is after compressed sensing coding is processed, what form is some structureless data, and between these data, there is not correlation feature, and for a two field picture, the quality of reconstruct only depends on the number of receiving data volume, that is to say, importance between data is complete equality, the loss of the data of equal number is that average sharing to a whole frame video gone for a whole frame video arbitrarily, the anti-interference at 3G transmission in wireless network by augmented video data flow like this, secondly, after H.264 compressed sensing is used in to coding, video data is further compressed afterwards again at transmission in wireless network, greatly reduced the transmission quantity of data, coordinate with RTSP and RTP/RTCP agreement simultaneously, make this system when having met transmission of video requirement of real-time, there is the function of adaptively adjusting video code rate and network transmission speed, improve the efficiency of transmission of system.
The described 3G video transmission method based on compressed sensing, preferred, described step 1 comprises:
Step 1-1, gathers video information, if when the video format that video acquisition end collects is not yuv format, need to carry out color mode conversion, and vision signal is converted to yuv format.
The beneficial effect of technique scheme is: the video information that camera collection is arrived is through color space conversion, be converted to and occupy the yuv format that bandwidth is less, not only reduce to a certain extent the occupancy volume of bandwidth, and facilitated the coding work of subsequent treatment device.
The described 3G video transmission method based on compressed sensing, preferred, described step 2 comprises:
Step 2-1, the H.264 method for video coding of video compression;
Step 2-2, by video intraframe predictive coding, utilizes the spatial coherence between video intra-frame macro block;
Step 2-3, then by video interprediction encoding, utilize the temporal correlation of continuous videos interframe to carry out estimation and compensation;
Step 2-4, then carries out integer transform computing;
Step 2-5, quantizes frame of video;
Step 2-6, carries out after entropy coding frame of video, forms the compress coding data after H.264 processing.
The beneficial effect of technique scheme is: utilize and H.264 the video information collecting is carried out to compressed encoding, according to evaluation and test, under equal picture quality condition, H.264 compression ratio is 2～3 times of MPEG-2, be 1.5～2 times of MPEG-4, the needed bandwidth of video image of therefore transmitting equal data volume in network is relatively low.Therefore, select H.264 coding techniques here, system has had higher compression efficiency and stronger Internet Transmission characteristic.
The described 3G video transmission method based on compressed sensing, is characterized in that, described step 3 comprises:
Step 3-1, H.264 the video data after Video coding is carried out to piecemeal, read a segment length size is the video data of N * N at every turn, is then converted into the matrix-block that a size is N * N, adopts the conversion based on row, read the top n numerical value of this video data, deposited in the first row of matrix-block, then read N numerical value below, deposited in the second row of matrix-block, by that analogy, a last N numerical value deposits last column of matrix-block in;
Step 3-2, or adopt per-column conversion, read the top n numerical value of this video data, deposited in the first row of matrix-block, then read N numerical value below, deposited in the secondary series of matrix-block, by that analogy, a last N numerical value deposits last row of matrix-block, described N >=2 in;
Step 3-3, the compression that at every turn adopts observation based on matrix-block to carry out compressed sensing is processed, and for the reconstruct efficiency of compressed sensing reconstruct end provides safeguard, also facilitates storage and the real-time Transmission of subsequent video data,
Step 3-4, carries out sparse conversion to video data, and the data block of each N * N is carried out to discrete cosine transform, each sub-block data obtain sparse coefficient matrix through sparse conversion, because sparse coefficient matrix has sparse property, can utilize compressive sensing theory to compress it
Step 3-5, observing matrix is measured: first construct the observing matrix that a size is M * N, M=p*N, wherein p is compression ratio and 0<p<1, resulting sparse matrix in observing matrix and previous step is multiplied each other, at this moment will obtain the observation matrix that a size is M * N, in 3G network, the data of namely this observation matrix of transmission, therefore will greatly reduce the data volume of transmitting in network after the compression process through compressed sensing.
Working-flow figure as shown in Figure 1, 2, should 3G video transmission method and system based on compressed sensing be comprised of following concrete steps:
S1, first by setting up camera, gather video information, hardware configuration schematic diagram with reference to Fig. 3, when the video format collecting when video acquisition end is not yuv format (as rgb format), need to carry out color mode conversion, vision signal is converted to the yuv format that occupied bandwidth is less, and by BT656 interface, send Hi3515 processor to and encode.
Data volume in S2, transmission of video is huge, therefore before transmission, needs to compress efficiently.The video compression standard of new generation that adopts Video coding expert group (VCEG) and ISO/IEC Motion Picture Experts Group (MPEG) by ITU-T to combine appointment here, there is higher compression efficiency and stronger Internet Transmission characteristic H.264, utilize the technology such as its powerful intraframe predictive coding, inter prediction encoding, interlacing coding, integer transform coding, quantification and entropy coding, the video information collecting is carried out to efficient compressed encoding.
S3, first, H.264 the data after encoding are carried out to piecemeal: read a segment length size is the data of N * N at every turn, then be converted into the matrix-block that a size is N * N, the compression that every subsystem adopts the observation based on matrix-block to carry out compressed sensing is processed, this,, by for the reconstruct efficiency of system compresses sensing reconstructing end provides safeguard, also facilitates storage and the real-time Transmission of follow-up data.
Secondly, sparse conversion: the matrix-block of each N * N is carried out to discrete cosine transform (DCT), each matrix-block will obtain sparse coefficient matrix after this sparse conversion, because sparse coefficient matrix has sparse property, can utilize compressive sensing theory to compress it.
Finally, observing matrix is measured: first constructing a size is M * N (M=p*N, wherein p is compression ratio and 0<p<1, N can value be 8, 16 or 32) observing matrix, here first we generate the gaussian random matrix of a big or small M * N, then it is carried out to orthogonalization process, we have just obtained required observing matrix like this, resulting sparse matrix in this observing matrix and previous step is multiplied each other, at this moment will obtain the observation matrix that a size is M * N, in 3G network, the data of namely this observation matrix of transmission, therefore after the compression process through compressed sensing, the data volume of transmitting will be greatly reduced in network.Preferably, p be 0.3 0.4 or 0.5, N be 8 or 16.
S4, in this step, we will transmit the video data stream after compressed sensing compression is processed in 3G network.In order to guarantee the real-time of transmission of video, here transmission of video mainly adopts RTSP and RTP/RTCP agreement to transmit, and wherein the Continuous Flow media of one or more time synchronized can be set up and control to RTSP agreement, realizes Long-distance Control; Real-time Transport Protocol is the network transmission protocol of real time video data, is generally used for stream media system, completes the transmission of packet; Rtcp protocol is the control protocol of Real-time Transport Protocol, and the information such as broadcast behavior quality or session are periodically provided for application program, utilizes rtcp protocol can realize the evaluation work to the monitoring of network condition and relevant parameter.Being used in conjunction with of RTSP and RTP/RTCP agreement can provide complete fluidisation service for system.
First, through the video flowing that H.264 coding and compressed sensing are compressed after processing, load onto respectively RTP header, UDP header and IP header, then IP packet is sent to receiving terminal by wireless 3G network and Internet.Therefore, in this system, by RTSP agreement, control, adopt RTP and RTCP packing, in conjunction with the transport layer udp protocol of ICP/IP protocol, jointly complete transmission and the control of real time flow medium data.
S5, in this step, will complete the data from receiving the video information through compressed sensing (restructuring procedure) is processed and H.264 decoding is restored; Meanwhile, the parameter feedback of RTCP reflection network state to encoder and sending module, thereby come self adaptation to regulate video coding rate and network transmission speed.
First, at receiving terminal, from the IP packet receiving, extract RTP header and video stream data, according to the sequence number in RTP header, video stream data is put into receiving terminal buffer memory, for compression sensing reconstructing and H.264 decoding output.Simultaneously, QoS FEEDBACK CONTROL has been reported by the recipient of RTCP, RTCP feeds back to encoder and sending module by the parameter of reaction network state (delay jitter, packet loss etc.), available bandwidth that can estimation network according to these feedback informations, according to available bandwidth, dynamically adjust again the parameter of coding, make to send the available bandwidth that code check is less than network, thereby guarantee the QoS of transmission.Also can be regarded as, when Internet Transmission bandwidth conditions is bad, by suitable reduction video quality, prevent network congestion, make client still can experience smooth multimedia transmission service; When network availability bandwidth is sufficient, improve encoder bit rate and transmission rate, to client, provide high-quality Video service.
Secondly, in the buffer memory of receiving terminal, read video stream data, carry out compressed sensing reconstruct, this process adopts StOMP (segmentation orthogonal matching pursuit) algorithm in compressed sensing, this algorithm has higher reconstruct efficiency, when guaranteeing reconstruction quality, the restructuring procedure from M * N measured value to N * N numerical value in completing steps 3 faster, thus also can promote on the whole the efficiency of transmission of whole system.
Finally, read compressed sensing reconstruct data afterwards and H.264 decode, after this process, by the video information being restored, finally video information can be stored or play with yuv format.
The described 3G video transmission method based on compressed sensing, preferred, also comprise: step 6, the parameter of feedback RTCP network state, and then adaptively adjusting video code rate and network transmission speed.
The described 3G video transmission method based on compressed sensing, preferred, described step 6:
Step 6-1, QoS FEEDBACK CONTROL has been reported by the recipient of RTCP Real-time Transport Control Protocol RTCP, the stable transfer performance parameter of feedback RTCP Real-time Transport Control Protocol RTCP reflection, according to the available bandwidth of these feedback information estimation networks, according to available bandwidth, dynamically adjust again the parameter of coding, according to the packet loss of RTCP feedback, the information such as delay jitter regulate coding parameter, if packet loss or time delay are larger, be that network condition is when bad, at this moment select larger compression factor, reduce the data volume of transmitting in network, thereby the situation of alleviating network congestion, when network condition is better, adjust coding parameter, reduce compression factor, to terminal, provide good image quality service quality, when network condition is poor, improve compression factor, make to send the available bandwidth that code check is less than network, thereby guarantee the QoS of transmission.
The described 3G video transmission method based on compressed sensing, preferred, described stable transfer performance parameter is delay jitter, packet loss.
The beneficial effect of technique scheme is: the stable transfer performance parameter of feedback RTCP Real-time Transport Control Protocol RTCP reflection, according to the available bandwidth of these feedback information estimation networks, according to available bandwidth, dynamically adjust again the parameter of coding, according to the packet loss of RTCP feedback, the information such as delay jitter regulate coding parameter, if packet loss or time delay are larger, be that network condition is when bad, at this moment select larger compression factor, reduce the data volume of transmitting in network, thereby the situation of alleviating network congestion, when network condition is better, adjust coding parameter, reduce compression factor, to terminal, provide good image quality service quality, when network condition is poor, improve compression factor, make to send the available bandwidth that code check is less than network, thereby guarantee the QoS of transmission.
As shown in Figure 3, the present invention also discloses a kind of 3G Video transmission system based on compressed sensing, and its key is, comprising: camera, audio frequency and video gathers A/D modular converter, audio/video encoding/decoding module, compressed sensing module, memory, display unit, data stream server;
Camera connects audio frequency and video and gathers A/D modular converter data input pin, described audio frequency and video gathers A/D modular converter data output end and connects audio/video encoding/decoding module and compressed sensing module, described audio/video encoding/decoding module and compressed sensing module connected storage, by USB interface, connect 3G network, described 3G network connection data streaming server, described data stream server is connected and is looked display unit by EI network.
The described 3G Video transmission system based on compressed sensing can pass through 3G network transmission of video flow data, can give full play to the advantage of 3G wireless network.
In the description of this specification, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or example in conjunction with specific features, structure, material or the feature of this embodiment or example description.In this manual, the schematic statement of above-mentioned term is not necessarily referred to identical embodiment or example.And the specific features of description, structure, material or feature can be with suitable mode combinations in any one or more embodiment or example.
Although illustrated and described embodiments of the invention, those having ordinary skill in the art will appreciate that: in the situation that not departing from principle of the present invention and aim, can carry out multiple variation, modification, replacement and modification to these embodiment, scope of the present invention is limited by claim and equivalent thereof.
Claims (10)
1. the 3G video transmission method based on compressed sensing, is characterized in that, comprises the steps:
Step 1, camera collection video information is also carried out color mode conversion;
Step 2, carries out Video coding to the video information collecting;
Step 3, carries out the compression of compressed sensing and processes to the video data after coding;
Step 4, transmits the video data stream after compressed sensing compression processing by host-host protocol;
Step 5, after the data flow of receiving in end-on is carried out the reconstruction processing and video decode of compressed sensing, the video information being restored.
2. the 3G video transmission method based on compressed sensing according to claim 1, is characterized in that, described step 1 comprises:
Step 1-1, gathers video information, if when the video format that video acquisition end collects is not yuv format, need to carry out color mode conversion, and vision signal is converted to yuv format.
3. the 3G video transmission method based on compressed sensing according to claim 1, is characterized in that, described step 2 comprises:
Step 2-1, the H.264 method for video coding of video compression;
Step 2-2, by video intraframe predictive coding, utilizes the spatial coherence between video intra-frame macro block;
Step 2-3, then by video interprediction encoding, utilize the temporal correlation of continuous videos interframe to carry out estimation and compensation;
Step 2-4, then carries out integer transform computing;
Step 2-5, quantizes frame of video;
Step 2-6, carries out after entropy coding frame of video, forms the compress coding data after H.264 processing.
4. the 3G video transmission method based on compressed sensing according to claim 1, is characterized in that, described step 3 comprises:
Step 3-1, H.264 the video data after Video coding is carried out to piecemeal, read a segment length size is the video data of N * N at every turn, is then converted into the matrix-block that a size is N * N, adopts the conversion based on row, read the top n numerical value of this video data, deposited in the first row of matrix-block, then read N numerical value below, deposited in the second row of matrix-block, by that analogy, a last N numerical value deposits last column of matrix-block in;
Step 3-2, the compression that at every turn adopts observation based on matrix-block to carry out compressed sensing is processed, and for the reconstruct efficiency of compressed sensing reconstruct end provides safeguard, also facilitates storage and the real-time Transmission of subsequent video data,
Step 3-3, carries out sparse conversion to video data, and the data block of each N * N is carried out to discrete cosine transform, each sub-block data obtain sparse coefficient matrix through sparse conversion, because sparse coefficient matrix has sparse property, can utilize compressive sensing theory to compress it
Step 3-4, observing matrix is measured: first construct the observing matrix that a size is M * N, M=p*N, wherein p is compression ratio and 0<p<1, resulting sparse matrix in observing matrix and previous step is multiplied each other, at this moment will obtain the observation matrix that a size is M * N, in 3G network, the data of namely this observation matrix of transmission, therefore will greatly reduce the data volume of transmitting in network after the compression process through compressed sensing.
5. the 3G video transmission method based on compressed sensing according to claim 1, is characterized in that, described step 4 comprises:
Step 4-1, to load onto respectively realtime transmission protocol RTP header, User Datagram Protoco (UDP) UDP header and procotol IP header through the video flowing that H.264 Video coding and compressed sensing are compressed after processing, utilize realtime transmission protocol RTP to transmit packet, realize the real-time network transmission of video data;
Step 4-2, utilize RTCP Real-time Transport Control Protocol RTCP realize the monitoring of network condition and sent the quantity of packet, the quantity of the packet of loss and the evaluation work of round trip time parameter, utilize application layer protocol real time streaming transport protocol RTSP to set up and control the Continuous Flow media of one or more time synchronized, realize the network remote of Streaming Media and control.
6. the 3G video transmission method based on compressed sensing according to claim 1, is characterized in that described step 5:
Step 5-1, first at receiving terminal, after receiving procotol IP packet, by contrary order, realtime transmission protocol RTP header and video stream data are extracted, according to the sequence number in realtime transmission protocol RTP header, video stream data is put into receiving terminal buffer memory;
Step 5-2, from reading out data in the buffer memory of receiving terminal, carry out compressed sensing reconstruct, adopt segmentation orthogonal matching pursuit StOMP algorithm, from the M * N matrix-block compression, read the data that a row length scale is M at every turn, multiply each other and obtain residual correlation vector with observing matrix; Then by setting threshold, from observing matrix, choose a plurality of atoms at every turn, form an initial atom set and for upgrading support set; Finally utilize least square method to try to achieve approximate solution, complete the renewal to surplus simultaneously, now check whether end condition meets, if do not met and continue to loop the renewal of surplus and approaching of approximate solution, otherwise, the approximate solution of gained is exactly the reconstruction result to an original M data, length scale is N, finally completes the reconstruct from amount of compressed data M * N to original data volume N * N, and wherein M is much smaller than N, when guaranteeing reconstruction quality, complete faster compressed sensing restructuring procedure;
Step 5-3, reads compressed sensing reconstruct data afterwards and carries out H.264 video decode, after this process, by the video information being restored, finally video information can be stored or is play with yuv format.
7. the 3G video transmission method based on compressed sensing according to claim 1, is characterized in that, also comprises: step 6, the parameter of feedback RTCP network state, and then adaptively adjusting video code rate and network transmission speed.
8. the 3G video transmission method based on compressed sensing according to claim 7, is characterized in that described step 6:
Step 6-1, QoS FEEDBACK CONTROL has been reported by the recipient of RTCP Real-time Transport Control Protocol RTCP, the stable transfer performance parameter of feedback RTCP Real-time Transport Control Protocol RTCP reflection, according to the available bandwidth of these feedback information estimation networks, according to available bandwidth, dynamically adjust again the parameter of coding, according to the packet loss of RTCP feedback, the information such as delay jitter regulate coding parameter, if packet loss or time delay are larger, be that network condition is when bad, at this moment select larger compression factor, reduce the data volume of transmitting in network, thereby the situation of alleviating network congestion, when network condition is better, adjust coding parameter, reduce compression factor, to terminal, provide good image quality service quality, when network condition is poor, improve compression factor, make to send the available bandwidth that code check is less than network, thereby guarantee the QoS of transmission.
9. the 3G video transmission method based on compressed sensing according to claim 8, is characterized in that, described stable transfer performance parameter is delay jitter, packet loss.
10. the 3G Video transmission system based on compressed sensing, is characterized in that, comprising: camera, and audio frequency and video gathers A/D modular converter, audio/video encoding/decoding module, compressed sensing module, memory, display unit, data stream server;
Camera connects audio frequency and video and gathers A/D modular converter data input pin, described audio frequency and video gathers A/D modular converter data output end and connects audio/video encoding/decoding module and compressed sensing module, described audio/video encoding/decoding module and compressed sensing module connected storage, USB interface, network interface, by USB interface, connect 3G network, described 3G network connection data streaming server, described data stream server is connected and is looked display unit by EI network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410200160.0A CN103957389B (en) | 2014-05-13 | 2014-05-13 | 3G video transmission method and system based on compression sensing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410200160.0A CN103957389B (en) | 2014-05-13 | 2014-05-13 | 3G video transmission method and system based on compression sensing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103957389A true CN103957389A (en) | 2014-07-30 |
| CN103957389B CN103957389B (en) | 2017-02-22 |
Family
ID=51334603
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410200160.0A Expired - Fee Related CN103957389B (en) | 2014-05-13 | 2014-05-13 | 3G video transmission method and system based on compression sensing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103957389B (en) |
Cited By (31)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104394486A (en) * | 2014-11-26 | 2015-03-04 | 中标软件有限公司 | Method and device for processing video stream based on cloud desktop |
| CN105610635A (en) * | 2016-02-29 | 2016-05-25 | 腾讯科技（深圳）有限公司 | Voice code transmitting method and apparatus |
| CN105992007A (en) * | 2015-03-03 | 2016-10-05 | 中国联合网络通信集团有限公司 | Wireless video transmission method and device |
| CN106533941A (en) * | 2016-11-25 | 2017-03-22 | 中国电子科技集团公司第五十四研究所 | Compressed sensing theory based low-jitter coding awareness routing method |
| CN106603991A (en) * | 2016-12-30 | 2017-04-26 | 国网上海市电力公司 | Remote mobile phone video monitoring method for external damage source construction site |
| CN106850561A (en) * | 2016-12-28 | 2017-06-13 | 中国科学院长春光学精密机械与物理研究所 | The radio transmitting device of pal mode video |
| CN106974640A (en) * | 2017-04-12 | 2017-07-25 | 广东工业大学 | A kind of remote heart monitoring system |
| CN107026849A (en) * | 2017-02-28 | 2017-08-08 | 千目聚云数码科技（上海）有限公司 | Improve the method and system of Real Time Compression video stream network transmitting efficiency |
| CN107071521A (en) * | 2017-04-26 | 2017-08-18 | 西安诺瓦电子科技有限公司 | Video process apparatus and its input and output video signals long-distance monitoring method |
| CN107529061A (en) * | 2017-08-06 | 2017-12-29 | 西南交通大学 | Video error coverage method based on compressed sensing and Information hiding |
| CN107734300A (en) * | 2017-10-19 | 2018-02-23 | 歌尔科技有限公司 | Image transfer method and equipment |
| CN107979761A (en) * | 2016-10-25 | 2018-05-01 | 北京酷我科技有限公司 | Facial image optimization method and system during one kind is live |
| CN108111859A (en) * | 2017-12-29 | 2018-06-01 | 北京华航无线电测量研究所 | H.264 video coding-decoding method and device based on JetsonTX1 platforms |
| CN108259808A (en) * | 2018-01-31 | 2018-07-06 | 维沃移动通信有限公司 | A kind of video frame compression method and mobile terminal |
| CN108632013A (en) * | 2018-05-10 | 2018-10-09 | Oppo广东移动通信有限公司 | A kind of data processing method, terminal and computer storage media |
| CN109600586A (en) * | 2018-12-21 | 2019-04-09 | 赵丽妍 | A kind of video optimized transmission method of safety defense monitoring system |
| CN109922307A (en) * | 2017-12-12 | 2019-06-21 | 杭州萤石软件有限公司 | A kind of multimedia data transmission method and video camera |
| WO2019243961A1 (en) * | 2018-06-19 | 2019-12-26 | International Business Machines Corporation | Audio and video multimedia modification and presentation |
| CN110753229A (en) * | 2019-11-15 | 2020-02-04 | 天津光电通信技术有限公司 | Video acquisition device and method based on H.265 coding |
| CN110781150A (en) * | 2019-10-10 | 2020-02-11 | 北京无限光场科技有限公司 | Data transmission method and device and electronic equipment |
| CN111314335A (en) * | 2020-02-10 | 2020-06-19 | 腾讯科技（深圳）有限公司 | Data transmission method, device, terminal, storage medium and system |
| CN111669545A (en) * | 2020-05-22 | 2020-09-15 | 浙江工业大学 | Method and device for improving video transmission delay |
| CN112887728A (en) * | 2019-11-29 | 2021-06-01 | 三星电子株式会社 | Electronic device, control method and system of electronic device |
| CN108650481B (en) * | 2018-04-19 | 2021-08-10 | 北京软通智慧城市科技有限公司 | Video stream data storage method and device |
| CN113384242A (en) * | 2021-07-22 | 2021-09-14 | 中南大学湘雅三医院 | Self-adaptive compression acquisition and transmission method and device for operation physiological monitoring signals |
| CN113452723A (en) * | 2021-08-31 | 2021-09-28 | 深圳鼎信通达股份有限公司 | Voice processing method, device and storage medium |
| CN113507638A (en) * | 2021-07-07 | 2021-10-15 | 海信视像科技股份有限公司 | Display device and screen projection method |
| CN113596567A (en) * | 2021-06-10 | 2021-11-02 | 保升(中国)科技实业有限公司 | Video networking technology |
| WO2022142033A1 (en) * | 2020-12-29 | 2022-07-07 | 平安普惠企业管理有限公司 | Data transmission method and apparatus, electronic device, and readable storage medium |
| CN116033104A (en) * | 2023-02-22 | 2023-04-28 | 深圳市锐力电子技术有限公司 | Intelligent helmet video information processing method based on multiple models |
| CN117354177A (en) * | 2023-12-06 | 2024-01-05 | 广州市森锐科技股份有限公司 | Data processing method and system based on credit and debit integrated machine |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101039420A (en) * | 2007-03-30 | 2007-09-19 | 孟智平 | Streaming format-based image transmission method, prediction algorithm and display method |
| CN101340575A (en) * | 2007-07-03 | 2009-01-07 | 英华达(上海)电子有限公司 | Method and terminal for dynamically regulating video code |
| CN202084060U (en) * | 2011-04-18 | 2011-12-21 | 浙江大学 | Real-time classifying system of paddy rice pest |
| CN102724395A (en) * | 2012-06-26 | 2012-10-10 | 公安部第三研究所 | Network camera adopting dual-kernel control |
| CN102868885A (en) * | 2012-08-27 | 2013-01-09 | 中国科学院长春光学精密机械与物理研究所 | Compressive-sensing-based on-satellite real-time image synthesis compression system |
| CN103546728A (en) * | 2013-11-14 | 2014-01-29 | 北京林业大学 | Wild animal field monitoring device |
-
2014
- 2014-05-13 CN CN201410200160.0A patent/CN103957389B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101039420A (en) * | 2007-03-30 | 2007-09-19 | 孟智平 | Streaming format-based image transmission method, prediction algorithm and display method |
| CN101340575A (en) * | 2007-07-03 | 2009-01-07 | 英华达(上海)电子有限公司 | Method and terminal for dynamically regulating video code |
| CN202084060U (en) * | 2011-04-18 | 2011-12-21 | 浙江大学 | Real-time classifying system of paddy rice pest |
| CN102724395A (en) * | 2012-06-26 | 2012-10-10 | 公安部第三研究所 | Network camera adopting dual-kernel control |
| CN102868885A (en) * | 2012-08-27 | 2013-01-09 | 中国科学院长春光学精密机械与物理研究所 | Compressive-sensing-based on-satellite real-time image synthesis compression system |
| CN103546728A (en) * | 2013-11-14 | 2014-01-29 | 北京林业大学 | Wild animal field monitoring device |
Non-Patent Citations (1)
| Title |
|---|
| 罗晖: "交通监控中基于压缩感知的WMSN视频编解码", 《华东交通大学学报》 * |
Cited By (43)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104394486A (en) * | 2014-11-26 | 2015-03-04 | 中标软件有限公司 | Method and device for processing video stream based on cloud desktop |
| CN104394486B (en) * | 2014-11-26 | 2018-03-13 | 中标软件有限公司 | A kind of video stream processing method and device based on cloud desktop |
| CN105992007A (en) * | 2015-03-03 | 2016-10-05 | 中国联合网络通信集团有限公司 | Wireless video transmission method and device |
| CN105610635A (en) * | 2016-02-29 | 2016-05-25 | 腾讯科技（深圳）有限公司 | Voice code transmitting method and apparatus |
| CN105610635B (en) * | 2016-02-29 | 2018-12-07 | 腾讯科技（深圳）有限公司 | Voice coding sending method and device |
| US11349900B2 (en) | 2016-02-29 | 2022-05-31 | Tencent Technology (Shenzhen) Company Limited | Voice encoding and sending method and apparatus |
| CN107979761A (en) * | 2016-10-25 | 2018-05-01 | 北京酷我科技有限公司 | Facial image optimization method and system during one kind is live |
| CN106533941A (en) * | 2016-11-25 | 2017-03-22 | 中国电子科技集团公司第五十四研究所 | Compressed sensing theory based low-jitter coding awareness routing method |
| CN106533941B (en) * | 2016-11-25 | 2019-08-16 | 中国电子科技集团公司第五十四研究所 | Low jitter based on compressive sensing theory encodes perception route method |
| CN106850561A (en) * | 2016-12-28 | 2017-06-13 | 中国科学院长春光学精密机械与物理研究所 | The radio transmitting device of pal mode video |
| CN106603991A (en) * | 2016-12-30 | 2017-04-26 | 国网上海市电力公司 | Remote mobile phone video monitoring method for external damage source construction site |
| CN107026849A (en) * | 2017-02-28 | 2017-08-08 | 千目聚云数码科技（上海）有限公司 | Improve the method and system of Real Time Compression video stream network transmitting efficiency |
| CN106974640A (en) * | 2017-04-12 | 2017-07-25 | 广东工业大学 | A kind of remote heart monitoring system |
| CN107071521A (en) * | 2017-04-26 | 2017-08-18 | 西安诺瓦电子科技有限公司 | Video process apparatus and its input and output video signals long-distance monitoring method |
| CN107529061A (en) * | 2017-08-06 | 2017-12-29 | 西南交通大学 | Video error coverage method based on compressed sensing and Information hiding |
| CN107734300A (en) * | 2017-10-19 | 2018-02-23 | 歌尔科技有限公司 | Image transfer method and equipment |
| US11601527B2 (en) | 2017-10-19 | 2023-03-07 | Goertek Technology Co., Ltd. | Method and device for transmitting image |
| CN109922307A (en) * | 2017-12-12 | 2019-06-21 | 杭州萤石软件有限公司 | A kind of multimedia data transmission method and video camera |
| CN108111859A (en) * | 2017-12-29 | 2018-06-01 | 北京华航无线电测量研究所 | H.264 video coding-decoding method and device based on JetsonTX1 platforms |
| CN108111859B (en) * | 2017-12-29 | 2020-10-09 | 北京华航无线电测量研究所 | H.264 video coding and decoding method based on Jetson TX1 platform |
| CN108259808A (en) * | 2018-01-31 | 2018-07-06 | 维沃移动通信有限公司 | A kind of video frame compression method and mobile terminal |
| CN108259808B (en) * | 2018-01-31 | 2021-01-08 | 维沃移动通信有限公司 | Video frame compression method and mobile terminal |
| CN108650481B (en) * | 2018-04-19 | 2021-08-10 | 北京软通智慧城市科技有限公司 | Video stream data storage method and device |
| CN108632013A (en) * | 2018-05-10 | 2018-10-09 | Oppo广东移动通信有限公司 | A kind of data processing method, terminal and computer storage media |
| US10666954B2 (en) | 2018-06-19 | 2020-05-26 | International Business Machines Corporation | Audio and video multimedia modification and presentation |
| GB2587584A (en) * | 2018-06-19 | 2021-03-31 | Ibm | Audio and video multimedia modification and presentation |
| WO2019243961A1 (en) * | 2018-06-19 | 2019-12-26 | International Business Machines Corporation | Audio and video multimedia modification and presentation |
| GB2587584B (en) * | 2018-06-19 | 2021-10-27 | Ibm | Audio and video multimedia modification and presentation |
| CN109600586A (en) * | 2018-12-21 | 2019-04-09 | 赵丽妍 | A kind of video optimized transmission method of safety defense monitoring system |
| CN110781150A (en) * | 2019-10-10 | 2020-02-11 | 北京无限光场科技有限公司 | Data transmission method and device and electronic equipment |
| CN110753229A (en) * | 2019-11-15 | 2020-02-04 | 天津光电通信技术有限公司 | Video acquisition device and method based on H.265 coding |
| CN112887728A (en) * | 2019-11-29 | 2021-06-01 | 三星电子株式会社 | Electronic device, control method and system of electronic device |
| CN111314335B (en) * | 2020-02-10 | 2021-10-08 | 腾讯科技（深圳）有限公司 | Data transmission method, device, terminal, storage medium and system |
| CN111314335A (en) * | 2020-02-10 | 2020-06-19 | 腾讯科技（深圳）有限公司 | Data transmission method, device, terminal, storage medium and system |
| CN111669545A (en) * | 2020-05-22 | 2020-09-15 | 浙江工业大学 | Method and device for improving video transmission delay |
| WO2022142033A1 (en) * | 2020-12-29 | 2022-07-07 | 平安普惠企业管理有限公司 | Data transmission method and apparatus, electronic device, and readable storage medium |
| CN113596567A (en) * | 2021-06-10 | 2021-11-02 | 保升(中国)科技实业有限公司 | Video networking technology |
| CN113507638A (en) * | 2021-07-07 | 2021-10-15 | 海信视像科技股份有限公司 | Display device and screen projection method |
| CN113384242A (en) * | 2021-07-22 | 2021-09-14 | 中南大学湘雅三医院 | Self-adaptive compression acquisition and transmission method and device for operation physiological monitoring signals |
| CN113452723A (en) * | 2021-08-31 | 2021-09-28 | 深圳鼎信通达股份有限公司 | Voice processing method, device and storage medium |
| CN116033104A (en) * | 2023-02-22 | 2023-04-28 | 深圳市锐力电子技术有限公司 | Intelligent helmet video information processing method based on multiple models |
| CN117354177A (en) * | 2023-12-06 | 2024-01-05 | 广州市森锐科技股份有限公司 | Data processing method and system based on credit and debit integrated machine |
| CN117354177B (en) * | 2023-12-06 | 2024-03-01 | 广州市森锐科技股份有限公司 | Data processing method and system based on credit and debit integrated machine |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103957389B (en) | 2017-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103957389A (en) | 3G video transmission method and system based on compression sensing | |
| CN101729898B (en) | Video coding and decoding methods and devices | |
| CN101835042B (en) | Wyner-Ziv video coding system controlled on the basis of non feedback speed rate and method | |
| CN102318202B (en) | System and method for transcoding between scalable and non-scalable video codecs | |
| CN103493481A (en) | Adaptive bit rate control based on scenes | |
| WO2013033676A1 (en) | Video refresh with error propagation tracking and error feedback from receiver | |
| CN106454271B (en) | Processing system for video and method | |
| CN205545736U (en) | Online play device of video | |
| CN103475878A (en) | Video coding method and encoder | |
| US10750185B2 (en) | High speed scalable video coding device and method using multi-track video | |
| TW201330625A (en) | Streaming transcoder with adaptive upstream and downstream transcode coordination | |
| US7729311B2 (en) | Image data communication system and image data communication method | |
| CN105306950A (en) | Video compression remote transmission system for feeding back coarse quantization reconstructed frames | |
| Pervez et al. | Uplink resource allocation of multiple DASH streams for QoE-based real and non-real time viewing over LTE | |
| KR100899666B1 (en) | Dispersed multistreaming transmission apparatus | |
| CN101188768A (en) | Method and apparatus for transmitting and receiving moving pictures based on RGB codec | |
| EP3496405A1 (en) | Devices and methods for video reconstruction from multiple source videos | |
| Uhrina et al. | The impact of bitrate and packet loss on the video quality of H. 264/AVC compression standard | |
| CN205195887U (en) | Thick video compression teletransmission system that quantifys to rebuild frame of feedback | |
| EP4369709A1 (en) | Methods and systems for quality of experience-centric adaptive bitrate encoding for live video streaming | |
| Mifen et al. | Design of a QoS control scheme for real-time mobile video based on h. 264 | |
| CN107835422B (en) | HEVC multi-description image coding algorithm based on significance | |
| Ganguly et al. | A-REaLiSTIQ-ViBe: Entangling Encoding and Transport to Improve Live Video Experience | |
| Mustafa et al. | Comparative performance analysis of MPEG4, FLV and 3GP multimedia file formats using wireless network parameters | |
| Mohammed et al. | Ultra-High-Definition Video Transmission for Mission-Critical Communication Systems Applications |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170222 Termination date: 20200513 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |