CN109660808B - Video encoder based on big data storage and corresponding terminal - Google Patents
Video encoder based on big data storage and corresponding terminal Download PDFInfo
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- CN109660808B CN109660808B CN201811567408.1A CN201811567408A CN109660808B CN 109660808 B CN109660808 B CN 109660808B CN 201811567408 A CN201811567408 A CN 201811567408A CN 109660808 B CN109660808 B CN 109660808B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/174—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a slice, e.g. a line of blocks or a group of blocks
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- H—ELECTRICITY
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
- H04N19/423—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements
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Abstract
The invention relates to a video encoder based on big data storage and a corresponding terminal, wherein the encoder comprises: the picture rearrangement buffer equipment is used for H.264 video coding and carries out rearrangement buffer operation on the received video pictures; the slice coding device is used for H.264 video coding and comprises a large data memory, a macro block detector and a slice detector; the big data memory is respectively connected with the macro block detector and the fragment detector through a network and is used for respectively storing each macro block and each fragment to be detected; and the rate correction device is arranged at the data input end of the macro block detector and used for acquiring the internal heat of the macro block detector and correcting the data receiving rate of the data input end based on the internal heat of the macro block detector, wherein the higher the internal heat is, the lower the corrected data receiving rate is. By the invention, the adopted large data storage mode is beneficial to improving the H.264 video coding efficiency.
Description
Technical Field
The invention relates to the field of big data storage, in particular to a video encoder based on big data storage and a corresponding terminal.
Background
The value of big data is reflected in the following aspects: 1) enterprises that offer products or services to a large number of consumers can utilize big data for accurate marketing; 2) the medium and small micro-enterprises in the small and beautiful mode can use big data to perform service transformation; 3) traditional enterprises that must be transformed in the face of internet pressure need to take full advantage of the value of large data over time.
In this rapidly evolving intelligent hardware era, an important issue that plagues application developers is how to find that delicate balance between power, coverage, transmission rate, and cost. Enterprise organizations utilizing relevant data and analytics can help them reduce costs, improve efficiency, develop new products, make more informed business decisions, and the like.
Disclosure of Invention
In order to solve the technical problem that the heat control and power control of the current H.264 video coding equipment lack a targeted optimization scheme, the invention provides a video coder based on large data storage.
Therefore, the invention has at least the following key points:
(1) defining a correction mechanism of the data receiving rate of the corresponding data input end according to the internal heat of the equipment, wherein the higher the internal heat is, the lower the corrected data receiving rate is;
(2) and reallocating the residual electric quantity of the equipment based on the historical power consumption data of each equipment, and stopping distributing the electric quantity to the equipment when detecting that the equipment is in an idle state.
According to an aspect of the present invention, there is provided a large data storage-based video encoder, the encoder including:
the picture rearrangement buffer equipment is used for H.264 video coding and carries out rearrangement buffer operation on the received video pictures;
the slice coding device is used for H.264 video coding and comprises a large data memory, a macro block detector and a slice detector;
the big data memory is respectively connected with the macro block detector and the fragment detector through a network and is used for respectively storing each macro block and each fragment to be detected;
the rate correction device is arranged at the data input end of the macro block detector and used for acquiring the internal heat of the macro block detector and correcting the data receiving rate of the data input end based on the internal heat of the macro block detector, wherein the higher the internal heat is, the lower the corrected data receiving rate is;
the rate correction device comprises a heat extraction unit and a rate processing unit, wherein the heat extraction unit is connected with the rate processing unit;
the heat dissipation execution device is arranged on one side of the macro block detector, connected with the rate correction device and used for executing field heat dissipation action on the macro block detector when the received internal heat exceeds a preset heat threshold;
the level detection device is respectively connected with the macro block detector, the picture rearrangement buffer device and the slice detector, and is used for counting the power consumption level of the macro block detector based on the historical power consumption data of the macro block detector to be output as a first power consumption level, counting the power consumption level of the picture rearrangement buffer device based on the historical power consumption data of the picture rearrangement buffer device to be output as a second power consumption level, and counting the power consumption level of the slice detector based on the historical power consumption data of the slice detector to be output as a third power consumption level;
the residual electric quantity acquisition equipment is used for acquiring the current residual electric quantity of the battery used by the system;
the electric quantity distribution equipment is respectively connected with the level detection equipment and the residual electric quantity acquisition equipment and is used for determining the electric quantity distributed to the macro block detector, the electric quantity distributed to the picture rearrangement buffer equipment and the electric quantity distributed to the slice detector based on the real-time residual electric quantity, the first power consumption level, the second power consumption level and the third power consumption level;
wherein, in the power distribution device, the power distributed to the macro block detector is based on the real-time residual power and is in direct proportion to the first power consumption level;
in the electric quantity distribution equipment, the electric quantity distributed to the picture rearrangement buffer equipment takes the real-time residual electric quantity as a base number and is in direct proportion to the second power consumption level;
in the electric quantity distribution equipment, the electric quantity distributed to the slicing detector takes the real-time residual electric quantity as a base number and is in direct proportion to the third power consumption level;
in the power distribution device, when the macro block detector is detected to be in an idle state, power distribution to the macro block detector is stopped, when the picture rearrangement buffer device is detected to be in an idle state, power distribution to the picture rearrangement buffer device is stopped, and when the slice detector is detected to be in an idle state, power distribution to the slice detector is stopped.
More specifically, in the big data storage based video encoder:
in the rate correction device, when the internal heat is reduced to be less than a preset heat threshold, keeping a data receiving rate of the data input end unchanged;
wherein, in the rate correction apparatus, the heat extraction unit is configured to acquire an internal heat of the macroblock detector.
More specifically, in the big data storage based video encoder:
in the rate correction apparatus, the rate processing unit is configured to correct a data reception rate of the data input terminal based on an internal heat of the macroblock detector;
the heat dissipation executing equipment comprises a signal receiving unit, a heat dissipation driving unit and a heat sink, wherein the heat dissipation driving unit is respectively connected with the signal receiving unit and the heat sink.
More specifically, in the big data storage based video encoder, the encoder further includes:
and the FPM DRAM memory is respectively connected with the macro block detector and the slice detector and is used for respectively storing the current output data of the macro block detector and the slice detector.
More specifically, in the big data storage based video encoder, the encoder further includes:
and the optical fiber communication interface is connected with the fragment detector and is used for transmitting the current transmission data of the fragment detector through an optical fiber communication line.
More specifically, in the big data storage based video encoder, the encoder further includes:
and the wireless routing equipment is respectively connected with the big data memory, the macro block detector and the fragment detector in a wireless communication way through a wireless communication network.
More specifically, in the big data storage based video encoder:
the macro block detector and the slice detector are respectively realized by SOC chips with different models, and are integrated on the same printed circuit board.
More specifically, in the big data storage based video encoder, the encoder further includes:
and the temperature sensing equipment is connected with the macro block detector and used for detecting the shell temperature of the macro block detector.
According to another aspect of the present invention, there is also provided a video coding terminal, characterized in that the terminal comprises: a memory and a processor, the processor coupled to the memory; the memory for storing executable instructions of the processor; the processor is configured to invoke the executable instructions in the memory to implement a method of using a big data storage based video encoder as described above to perform video encoding with each macroblock to be detected and each sliced big data storage.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram illustrating connection of a big data storage of a video encoder based on big data storage according to an embodiment of the present invention.
Detailed Description
Embodiments of a video encoder based on big data storage and a corresponding terminal according to the present invention will be described in detail below with reference to the accompanying drawings.
The big data concept is applied to data generated by the IT operation tool, and the big data can enable an IT management software provider to solve a wide range of business decisions. IT systems, applications and technology infrastructures produce data every second every day. Big data unstructured or structured data represent an absolute record of "all users' behavior, service level, security, risk, fraud, etc. more operations".
Big data analytics are generated for IT management, where enterprises can combine real-time data flow analysis with historical relevant data, and then big data analyze and discover the models they need. Which in turn helps to predict and prevent future outages and performance problems. Furthermore, the big data can be used for knowing the usage model and the geographic trend, so that the insight of the big data on important users is deepened. They can also track and record network behavior, big data easily identify business impact; increasing profit growth with a deep understanding of service utilization; an IT service directory is developed across multiple systems simultaneously collecting data.
In order to overcome the defects, the invention builds a video encoder based on big data storage and a corresponding terminal, and can effectively solve the corresponding technical problem.
The video encoder based on big data storage according to the embodiment of the invention comprises:
the picture rearrangement buffer equipment is used for H.264 video coding and carries out rearrangement buffer operation on the received video pictures;
the slice coding device is used for H.264 video coding and comprises a large data memory, a macro block detector and a slice detector;
the connection mode of the big data memory is shown in FIG. 1;
the big data memory is respectively connected with the macro block detector and the fragment detector through a network and is used for respectively storing each macro block and each fragment to be detected;
the rate correction device is arranged at the data input end of the macro block detector and used for acquiring the internal heat of the macro block detector and correcting the data receiving rate of the data input end based on the internal heat of the macro block detector, wherein the higher the internal heat is, the lower the corrected data receiving rate is;
the rate correction device comprises a heat extraction unit and a rate processing unit, wherein the heat extraction unit is connected with the rate processing unit;
the heat dissipation execution device is arranged on one side of the macro block detector, connected with the rate correction device and used for executing field heat dissipation action on the macro block detector when the received internal heat exceeds a preset heat threshold;
the level detection device is respectively connected with the macro block detector, the picture rearrangement buffer device and the slice detector, and is used for counting the power consumption level of the macro block detector based on the historical power consumption data of the macro block detector to be output as a first power consumption level, counting the power consumption level of the picture rearrangement buffer device based on the historical power consumption data of the picture rearrangement buffer device to be output as a second power consumption level, and counting the power consumption level of the slice detector based on the historical power consumption data of the slice detector to be output as a third power consumption level;
the residual electric quantity acquisition equipment is used for acquiring the current residual electric quantity of the battery used by the system;
the electric quantity distribution equipment is respectively connected with the level detection equipment and the residual electric quantity acquisition equipment and is used for determining the electric quantity distributed to the macro block detector, the electric quantity distributed to the picture rearrangement buffer equipment and the electric quantity distributed to the slice detector based on the real-time residual electric quantity, the first power consumption level, the second power consumption level and the third power consumption level;
wherein, in the power distribution device, the power distributed to the macro block detector is based on the real-time residual power and is in direct proportion to the first power consumption level;
in the electric quantity distribution equipment, the electric quantity distributed to the picture rearrangement buffer equipment takes the real-time residual electric quantity as a base number and is in direct proportion to the second power consumption level;
in the electric quantity distribution equipment, the electric quantity distributed to the slicing detector takes the real-time residual electric quantity as a base number and is in direct proportion to the third power consumption level;
in the power distribution device, when the macro block detector is detected to be in an idle state, power distribution to the macro block detector is stopped, when the picture rearrangement buffer device is detected to be in an idle state, power distribution to the picture rearrangement buffer device is stopped, and when the slice detector is detected to be in an idle state, power distribution to the slice detector is stopped.
Next, the detailed structure of the video encoder based on big data storage according to the present invention will be further described.
In the big data storage based video encoder:
in the rate correction device, when the internal heat is reduced to be less than a preset heat threshold, keeping a data receiving rate of the data input end unchanged;
wherein, in the rate correction apparatus, the heat extraction unit is configured to acquire an internal heat of the macroblock detector.
In the big data storage based video encoder:
in the rate correction apparatus, the rate processing unit is configured to correct a data reception rate of the data input terminal based on an internal heat of the macroblock detector;
the heat dissipation executing equipment comprises a signal receiving unit, a heat dissipation driving unit and a heat sink, wherein the heat dissipation driving unit is respectively connected with the signal receiving unit and the heat sink.
The video encoder based on big data storage may further include:
and the FPM DRAM memory is respectively connected with the macro block detector and the slice detector and is used for respectively storing the current output data of the macro block detector and the slice detector.
The video encoder based on big data storage may further include:
and the optical fiber communication interface is connected with the fragment detector and is used for transmitting the current transmission data of the fragment detector through an optical fiber communication line.
The video encoder based on big data storage may further include:
and the wireless routing equipment is respectively connected with the big data memory, the macro block detector and the fragment detector in a wireless communication way through a wireless communication network.
In the big data storage based video encoder:
the macro block detector and the slice detector are respectively realized by SOC chips with different models, and are integrated on the same printed circuit board.
The video encoder based on big data storage may further include:
and the temperature sensing equipment is connected with the macro block detector and used for detecting the shell temperature of the macro block detector.
Meanwhile, in order to overcome the above disadvantages, the present invention further provides a video encoding terminal, wherein the terminal comprises: a memory and a processor, the processor coupled to the memory;
wherein the memory is used for storing executable instructions of the processor;
the processor is configured to call up executable instructions in the memory to implement a method for performing video encoding under the condition that each macro block and each sliced big data storage to be detected are stored by using the big data storage-based video encoder as described above.
In addition, FPM DRAM (Fast Page Mode RAM): fast page mode memory. Is a memory that was commonly used during time 486 (also used as video memory). 72 lines, 5V voltage, 32bit bandwidth and basic speed of more than 60 ns.
The read cycle of the FPM DRAM starts with the triggering of a row in the DRAM array and then moves to the location indicated by the memory address, i.e., contains the required data. The first message must be validated and stored to the system in preparation for the next cycle. This introduces a "wait state" because the CPU must wait for the memory to complete a cycle in a foolproof manner.
By adopting the video encoder based on big data storage and the corresponding terminal, aiming at the technical problems that H.264 video encoding equipment is difficult to radiate heat and lacks of an electric quantity distribution mechanism in the prior art, a corresponding correction mechanism of the data receiving rate of a data input end is defined according to the internal heat of the equipment, and the higher the internal heat is, the lower the corrected data receiving rate is; more importantly, residual electric quantity of each device is redistributed based on historical power consumption data of the devices, and when the devices are detected to be in an idle state, the electric quantity distribution of the devices is stopped; thereby solving the technical problem.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A video encoder based on big data storage, the encoder comprising:
the picture rearrangement buffer equipment is used for H.264 video coding and carries out rearrangement buffer operation on the received video pictures;
the slice coding device is used for H.264 video coding and comprises a large data memory, a macro block detector and a slice detector;
the big data memory is respectively connected with the macro block detector and the fragment detector through a network and is used for respectively storing each macro block and each fragment to be detected;
the rate correction device is arranged at the data input end of the macro block detector and used for acquiring the internal heat of the macro block detector and correcting the data receiving rate of the data input end based on the internal heat of the macro block detector, wherein the higher the internal heat is, the lower the corrected data receiving rate is;
the rate correction device comprises a heat extraction unit and a rate processing unit, wherein the heat extraction unit is connected with the rate processing unit;
the heat dissipation execution device is arranged on one side of the macro block detector, connected with the rate correction device and used for executing field heat dissipation action on the macro block detector when the received internal heat exceeds a preset heat threshold;
the level detection device is respectively connected with the macro block detector, the picture rearrangement buffer device and the slice detector, and is used for counting the power consumption level of the macro block detector based on the historical power consumption data of the macro block detector to be output as a first power consumption level, counting the power consumption level of the picture rearrangement buffer device based on the historical power consumption data of the picture rearrangement buffer device to be output as a second power consumption level, and counting the power consumption level of the slice detector based on the historical power consumption data of the slice detector to be output as a third power consumption level;
the residual electric quantity acquisition equipment is used for acquiring the current residual electric quantity of the battery used by the system;
the electric quantity distribution equipment is respectively connected with the level detection equipment and the residual electric quantity acquisition equipment and is used for determining the electric quantity distributed to the macro block detector, the electric quantity distributed to the picture rearrangement buffer equipment and the electric quantity distributed to the slice detector based on the real-time residual electric quantity, the first power consumption level, the second power consumption level and the third power consumption level;
wherein, in the power distribution device, the power distributed to the macro block detector is based on the real-time residual power and is in direct proportion to the first power consumption level;
in the electric quantity distribution equipment, the electric quantity distributed to the picture rearrangement buffer equipment takes the real-time residual electric quantity as a base number and is in direct proportion to the second power consumption level;
in the electric quantity distribution equipment, the electric quantity distributed to the slicing detector takes the real-time residual electric quantity as a base number and is in direct proportion to the third power consumption level;
in the power distribution device, when the macro block detector is detected to be in an idle state, power distribution to the macro block detector is stopped, when the picture rearrangement buffer device is detected to be in an idle state, power distribution to the picture rearrangement buffer device is stopped, and when the slice detector is detected to be in an idle state, power distribution to the slice detector is stopped.
2. The big-data-storage-based video encoder of claim 1, wherein:
in the rate correction device, when the internal heat is reduced to be less than a preset heat threshold, keeping a data receiving rate of the data input end unchanged;
wherein, in the rate correction apparatus, the heat extraction unit is configured to acquire an internal heat of the macroblock detector.
3. The big-data-storage-based video encoder as claimed in claim 2, wherein:
in the rate correction apparatus, the rate processing unit is configured to correct a data reception rate of the data input terminal based on an internal heat of the macroblock detector;
the heat dissipation executing equipment comprises a signal receiving unit, a heat dissipation driving unit and a heat sink, wherein the heat dissipation driving unit is respectively connected with the signal receiving unit and the heat sink.
4. The big-data-storage-based video encoder of claim 3, wherein the encoder further comprises:
and the FPM DRAM memory is respectively connected with the macro block detector and the slice detector and is used for respectively storing the current output data of the macro block detector and the slice detector.
5. The big-data-storage-based video encoder of claim 4, wherein the encoder further comprises:
and the optical fiber communication interface is connected with the fragment detector and is used for transmitting the current transmission data of the fragment detector through an optical fiber communication line.
6. The big-data-storage-based video encoder of claim 5, wherein the encoder further comprises:
and the wireless routing equipment is respectively connected with the big data memory, the macro block detector and the fragment detector in a wireless communication way through a wireless communication network.
7. The big-data-storage-based video encoder of claim 6, wherein:
the macro block detector and the slice detector are respectively realized by SOC chips with different models, and are integrated on the same printed circuit board.
8. The big-data-storage-based video encoder of claim 7, wherein the encoder further comprises:
and the temperature sensing equipment is connected with the macro block detector and used for detecting the shell temperature of the macro block detector.
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Inventor after: Zhao Fei Inventor after: Wu Hongyong Inventor after: Yu Fei Inventor after: Li Dangui Inventor after: Song Zhiwei Inventor after: Liu Ganxiu Inventor before: Li Dangui Inventor before: Song Zhiwei Inventor before: Liu Ganxiu |
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Effective date of registration: 20200409 Address after: No. 11, 3 / F, future Fangzhou D18 group, yuan'jing District, Yunyan District, Guiyang City, Guizhou Province 550001 Applicant after: Xintongda Intelligent Technology Co.,Ltd. Address before: 225300 No. 113, 15th Floor, Comprehensive Building of Xinghua Economic Development Zone, Taizhou City, Jiangsu Province Applicant before: Li Dangui |
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Denomination of invention: Video encoder and corresponding terminals based on big data storage Effective date of registration: 20221026 Granted publication date: 20200505 Pledgee: Guiyang industrial Financing Guarantee Co.,Ltd. Pledgor: Xintongda Intelligent Technology Co.,Ltd. Registration number: Y2022980019782 |
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