CN110099303A - A kind of media play system based on artificial intelligence - Google Patents
A kind of media play system based on artificial intelligence Download PDFInfo
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- CN110099303A CN110099303A CN201910488905.0A CN201910488905A CN110099303A CN 110099303 A CN110099303 A CN 110099303A CN 201910488905 A CN201910488905 A CN 201910488905A CN 110099303 A CN110099303 A CN 110099303A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims description 11
- 239000000284 extract Substances 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000012790 confirmation Methods 0.000 claims description 3
- 230000002596 correlated effect Effects 0.000 claims description 3
- 230000001351 cycling effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 238000011897 real-time detection Methods 0.000 claims description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
- H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44016—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving splicing one content stream with another content stream, e.g. for substituting a video clip
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Television Signal Processing For Recording (AREA)
Abstract
The invention discloses a kind of media play systems based on artificial intelligence, including artificial intelligence image processing unit, the artificial intelligence image processing unit includes four modules, it is respectively: plays scene Recognition module, screen objects identification module, object resource feature database and screen objects processing module: system through the invention, it may be implemented that video playing scene is measured in real time and is identified, and local identities and prompting are carried out to the picture under each scene, it is presented to the user out more perfect, details and accurate image information, promote the whole viewing experience of user.
Description
Technical field
The present invention relates to field of video broadcasting technology more particularly to a kind of media play systems based on artificial intelligence.
Background technique
The playing function of video media is one of core function of electronic equipment for consumption, such as TV, the consumption such as mobile phone
Electronic product all supports the playing function of video media.The broadcasting of video media mainly includes reading data, media data deblocking
Dress, media data decoding and video image display output several major composition, the screen resolution of video is to 8K at present
Development, the format of coding and decoding video using HEVC (High Efficiency Video Coding) as the specification of mainstream, meanwhile,
With the rise of 5G and the universal access of high broadband network, online streaming media video is also become increasingly popular, and clarity is higher and higher.
In conventional video media play system, media play process mainly includes media data reading, media formats analytical decomposition, matchmaker
The four big steps compositions such as volume data decodes and picture is shown are broadcast after the media data source of input determines by media play system
The picture released is just fixed, therefore media data source determines the video pictures content that user can finally see.With intelligent electricity
For viewing TV station's programme televised live, the video pictures that user sees on Intelligent television terminal be all TV station to content into
Relay the video content sent out after edlin processing, and media play system not to video pictures carry out secondary operation and
Processing.Since traditional media play system is not supported to carry out real-time secondary operation and processing to video pictures, lead to it not
Meet in some scenarios that (for example the bloody picture of Fuzzy Processing in playing process, such as text remark additionally current video picture
Part detailed information etc.), user carries out the demand of secondary treatment to video pictures, has apparent technical limitation, simultaneously
Also reduce the experience during used viewing.
Summary of the invention
In view of the above-mentioned problems, the invention proposes a kind of media play systems based on artificial intelligence, due to traditional matchmaker
Body play system is not supported to cause it to be unable to satisfy user certain the real-time secondary operation processing of video playing picture progress
The demand that video pictures are carried out with secondary treatment is required under scene, influences the experience during user's viewing.
The present invention through the following technical solutions to achieve the above objectives:
A kind of media play system based on artificial intelligence, including artificial intelligence image processing unit, the artificial intelligence
Image processing unit includes four modules, is respectively: it is special to play scene Recognition module, screen objects identification module, object resource
Levy library and screen objects processing module:
It plays scene Recognition module: currently playing video content scene being measured in real time and identified, image is passed through
With the feature extraction and training of sound, the detection and identification functions to universal playing scene, and real-time update scene are realized；
Screen objects identification module: to the every frame picture that will currently export display carry out embedded Drawing Object detection and
Identification, and the associated eigenvalue of recognized Drawing Object is extracted, then these Drawing Object characteristic values record is saved in
In object resource feature database；
Object resource feature database: the object resource feature database is a Drawing Object characteristic value data library, for saving
The correlated characteristic Value Data of each Drawing Object resource, which is placed in cloud, and can be carried out according to the characteristic value of terminal
It is continuous to improve and correct；
Screen objects processing module: according to the needs of users, to the Drawing Object carry out office recognized in current picture
Portion's mark and picture superposition processing, and it is presented to the user desired picture effect and picture detail information；
The broadcasting scene that the broadcasting scene Recognition module will identify in real time inputs to screen objects identification module, picture
Object Identification Module extracts screen objects and its feature, and completes resource by being compared with resource object feature database
The identification of object, and the object recognized and its location information are passed into screen objects mark module, screen objects identify mould
For root tuber according to the demand of current scene and the configuration of user, mark is superimposed relevant object information in place, and finally folds
Add and generates new video pictures output.
Further scheme is that the model of place library of putting is the model of place obtained by the training of outer scene data.
On the other hand the application provides a kind of video pictures secondary treatment of media play system based on artificial intelligence
Process, comprising the following steps:
Before playing function starting, the initialization that media play system can complete each functional module prepares；
Step 1, real-time detection media play scene；After media play system starting video media asset plays, play
Scene Recognition module commencement of commercial operation, and the characteristic value of every frame picture and voice data that extract real-time will play, then will mention
Calculating matching is carried out in all kinds of characteristic values input artificial intelligence scene Recognition model got, finally identifies current video in real time
The broadcasting scene of content；
Resource object feature in step 2, extraction picture；After video media, which starts, to be played, screen objects identification module
The embedded Drawing Object of every frame image in playing is extracted based on artificial intelligence object model, and obtains the spy of each resource object
Value indicative；
Step 3 compares resource object feature；Based on step 2, screen objects identification module gets the resource pair in picture
It is compared as characteristic value, and by this characteristic value with the data of object resource feature database, completes resource object entity by comparing
The confirmation of identity；
Step 4, processing video resource object；Based on step 3, screen objects identification module recognizes the money in current picture
The location information of source object and its place picture, and these information are exported and give screen objects processing module, screen objects processing
Input of the module based on this type of information according to the demand of user carries out relevant resource object on suitable picture position
Mark, or secondary treatment is carried out to the Drawing Object in picture, and finally merge after superposition that generate final video pictures defeated
Out；
Step 5 judges whether last frame picture；If video content is played to last frame, indicate that this finishes playing,
Then directly exit present treatment process；If video content, which plays, not yet reaches last frame, jumps to step 1 and continue cycling through and hold
Row, until entire video content finishes；
So far, the secondary treatment all processes of whole system video pictures are completed.
The beneficial effects of the present invention are:
The invention proposes a kind of media play systems based on artificial intelligence, and system through the invention may be implemented
Video playing scene is measured in real time and is identified, and local identities, prompting and secondary are carried out to the picture under each scene
Processing, meets demand of the user to video pictures secondary treatment, while being presented to the user out more perfect, details and accurately drawing
Face information promotes the whole viewing experience of user.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
In required practical attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only the one of the present embodiment
A little embodiments for those of ordinary skill in the art without creative efforts, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is artificial intelligence image processing unit module composition figure；
Fig. 2 is video pictures secondary treatment flow chart.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below
Detailed description.Obviously, the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without making creative work it is obtained it is all its
Its embodiment belongs to the range that the present invention is protected.
In any embodiment, as shown in Figure 1, a kind of media play system based on artificial intelligence of the invention, including
Artificial intelligence image processing unit, the artificial intelligence image processing unit include four modules, are respectively: playing scene Recognition
Module, screen objects identification module, object resource feature database and screen objects processing module:
It plays scene Recognition module: currently playing video content scene being measured in real time and identified, image is passed through
With the feature extraction and training of sound, the detection and identification functions to universal playing scene, and real-time update scene are realized；It is described
Putting model of place library is the model of place obtained by the training of outer scene data.
Screen objects identification module: to the every frame picture that will currently export display carry out embedded Drawing Object detection and
Identification, and the associated eigenvalue of recognized Drawing Object is extracted, then these Drawing Object characteristic values record is saved in
In object resource feature database；
Object resource feature database: the object resource feature database is a Drawing Object characteristic value data library, for saving
The correlated characteristic Value Data of each Drawing Object resource, which is placed in cloud, and can be carried out according to the characteristic value of terminal
It is continuous to improve and correct；
Screen objects processing module: according to the needs of users, to the Drawing Object carry out office recognized in current picture
Portion's mark and picture superposition processing, and it is presented to the user desired picture effect and picture detail information；
The broadcasting scene that the broadcasting scene Recognition module will identify in real time inputs to screen objects identification module, picture
Object Identification Module extracts screen objects and its feature, and completes resource by being compared with resource object feature database
The identification of object, and the object recognized and its location information are passed into screen objects mark module, screen objects identify mould
For root tuber according to the demand of current scene and the configuration of user, mark is superimposed relevant object information in place, and finally folds
Add and generates new video pictures output.
In a specific embodiment, as shown in Fig. 2, a kind of video pictures of the media play system based on artificial intelligence
Secondary treatment process, comprising the following steps:
Before playing function starting, the initialization that media play system can complete each functional module prepares；
Step 1, real-time detection media play scene；After media play system starting video media asset plays, play
Scene Recognition module commencement of commercial operation, and the characteristic value of every frame picture and voice data that extract real-time will play, then will mention
Calculating matching is carried out in all kinds of characteristic values input artificial intelligence scene Recognition model got, finally identifies current video in real time
The broadcasting scene of content；
Resource object feature in step 2, extraction picture；After video media, which starts, to be played, screen objects identification module
The embedded Drawing Object of every frame image in playing is extracted based on artificial intelligence object model, and obtains the spy of each resource object
Value indicative；
Step 3 compares resource object feature；Based on step 2, screen objects identification module gets the resource pair in picture
It is compared as characteristic value, and by this characteristic value with the data of object resource feature database, completes resource object entity by comparing
The confirmation of identity；
Step 4, processing video resource object；Based on step 3, screen objects identification module recognizes the money in current picture
The location information of source object and its place picture, and these information are exported and give screen objects processing module, screen objects processing
Input of the module based on this type of information according to the demand of user carries out relevant resource object on suitable picture position
Mark, or secondary treatment is carried out to the Drawing Object in picture, and finally merge after superposition that generate final video pictures defeated
Out；
Step 5 judges whether last frame picture；If video content is played to last frame, indicate that this finishes playing,
Then directly exit present treatment process；If video content, which plays, not yet reaches last frame, jumps to step 1 and continue cycling through and hold
Row, until entire video content finishes；
So far, the secondary treatment all processes of whole system video pictures are completed.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Specific technical features described in the above specific embodiments, in not lance
In the case where shield, can be combined in any appropriate way, in order to avoid unnecessary repetition, the present invention to it is various can
No further explanation will be given for the combination of energy.Various embodiments of the present invention can be combined randomly, only
Want it without prejudice to thought of the invention, it should also be regarded as the disclosure of the present invention.
Claims (3)
1. a kind of media play system based on artificial intelligence, which is characterized in that described including artificial intelligence image processing unit
Artificial intelligence image processing unit includes four modules, is respectively: playing scene Recognition module, screen objects identification module, right
As resource characteristic library and screen objects processing module:
It plays scene Recognition module: currently playing video content scene being measured in real time and identified, image harmony is passed through
The detection and identification functions to universal playing scene, and real-time update scene are realized in the feature extraction and training of sound；
Screen objects identification module: the detection and knowledge of embedded Drawing Object are carried out to the every frame picture that will currently export display
Not, and the associated eigenvalue of recognized Drawing Object is extracted, is then saved in these Drawing Object characteristic values record pair
As in resource characteristic library；
Object resource feature database: the object resource feature database is a Drawing Object characteristic value data library, each for saving
The correlated characteristic Value Data of Drawing Object resource, which is placed in cloud, and can be carried out according to the characteristic value of terminal continuous
Improve and amendment；
Screen objects processing module: according to the needs of users, local mark is carried out to the Drawing Object recognized in current picture
Knowledge and picture superposition processing, and it is presented to the user desired picture effect and picture detail information；
The broadcasting scene that the broadcasting scene Recognition module will identify in real time inputs to screen objects identification module, screen objects
Identification module extracts screen objects and its feature, and completes resource object by being compared with resource object feature database
Identification, and the object recognized and its location information are passed into screen objects mark module, screen objects mark module root
According to the demand of current scene and the configuration of user, mark is superimposed relevant object information in place, and finally superposition life
The video pictures of Cheng Xin export.
2. a kind of media play system based on artificial intelligence as described in claim 1, which is characterized in that described to put model of place
Library is the model of place obtained by the training of outer scene data.
3. a kind of video pictures secondary treatment process of the media play system based on artificial intelligence as described in claim 1-2,
Characterized by comprising the following steps:
Step 1, real-time detection media play scene；After media play system starting video media asset plays, scene is played
Identification module commencement of commercial operation, and the characteristic value of every frame picture and voice data that extract real-time will play, then will extract
All kinds of characteristic values input artificial intelligence scene Recognition model in carry out calculating matching, finally identify current video content in real time
Broadcasting scene；
Resource object feature in step 2, extraction picture；After video media, which starts, to be played, screen objects identification module is based on
Artificial intelligence object model extracts the embedded Drawing Object of every frame image in playing, and obtains the feature of each resource object
Value；
Step 3 compares resource object feature；Based on step 2, screen objects identification module gets the spy of the resource object in picture
Value indicative, and this characteristic value is compared with the data of object resource feature database, resource object entity identities are completed by comparing
Confirmation；
Step 4, processing video resource object；Based on step 3, screen objects identification module recognizes the resource pair in current picture
As and its place picture location information, and these information are exported and give screen objects processing module, screen objects processing module
Input based on this type of information is according to the demand of user identified relevant resource object on suitable picture position,
Or secondary treatment is carried out to the Drawing Object in picture, and generate final video pictures output after finally merging superposition；
Step 5 judges whether last frame picture；If video content is played to last frame, indicate that this finishes playing, then directly
It connects and exits present treatment process；If video content, which plays, not yet reaches last frame, jumps to step 1 and continue cycling through execution, directly
It is finished to entire video content.
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| CN201910488905.0A CN110099303A (en) | 2019-06-05 | 2019-06-05 | A kind of media play system based on artificial intelligence |
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| CN110933489A (en) * | 2019-11-01 | 2020-03-27 | 青岛海尔多媒体有限公司 | Video playing control method and device and video playing equipment |
| CN111263227A (en) * | 2020-02-10 | 2020-06-09 | 腾讯科技（深圳）有限公司 | Multimedia playing method, device and storage medium |
| CN111405330A (en) * | 2020-03-26 | 2020-07-10 | 康佳集团股份有限公司 | Display method of high-definition television and high-definition television |
| CN111949499A (en) * | 2020-08-10 | 2020-11-17 | 北京明略昭辉科技有限公司 | Information resource monitoring method and device, computer equipment and storage medium |
| CN112911375A (en) * | 2020-12-07 | 2021-06-04 | 泰州市朗嘉馨网络科技有限公司 | Product propaganda artificial intelligence detection system and method |
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Application publication date: 20190806 |