CN106331616A - Heterogeneous environment-based massive video structured analysis system and method - Google Patents
Heterogeneous environment-based massive video structured analysis system and method Download PDFInfo
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- CN106331616A CN106331616A CN201610706955.8A CN201610706955A CN106331616A CN 106331616 A CN106331616 A CN 106331616A CN 201610706955 A CN201610706955 A CN 201610706955A CN 106331616 A CN106331616 A CN 106331616A
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- 238000000034 method Methods 0.000 title abstract description 12
- 238000012544 monitoring process Methods 0.000 claims description 15
- 238000010025 steaming Methods 0.000 claims description 3
- 230000008676 import Effects 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
- H04N21/234336—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by media transcoding, e.g. video is transformed into a slideshow of still pictures or audio is converted into text
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention relates to a heterogeneous environment-based massive video structured analysis system and method. The system comprises a task management module, a streaming media receiving module, a transcoding module and a video analysis module; the task management module is used for dividing a received task into a plurality of sub-tasks, allocating the sub-tasks to the streaming media receiving module, and carrying out merging unified management according to the analysis results of the sub-tasks; after the streaming media receiving module receives streaming media codes from a heterogeneous environment, the task management module allocates a transcoding task to the transcoding module; after transcoding is completed, the task management module imports a transcoded standard video file into a view library, and then allocates the sub-tasks to analysis nodes; the analysis nodes carry out video structured analysis based on the standard video file; and the task management module merges the analysis results of the sub-tasks and imports merged analysis results into the view library, so that the merged analysis results can be managed in a unified manner.
Description
Technical field
The present invention relates to field of video monitoring, in particular, relate to a kind of massive video based on isomerous environment knot
Structure fractional analysis system and method.
Background technology
In field of video monitoring, video structure analyzing is a kind of good application to massive video resource, by using
Video is analyzed by various algorithms, allows computer generation replace and manually extracts valuable information from the video resource of magnanimity.Depending on
The Accuracy and high efficiency of frequency analysis is often user and the common requirements of algorithm service provider.At present, due to each video
Monitor supervision platform, the video capture device source of access is the most various, the Video coding mode that different video capture devices uses
Also being not quite similar, the Video coding mode so making different video monitoring platforms provide differs from ten thousand with video file format thousand
Not, even a lot of video files can only be decoded by the SDK that video capture device provider provides, and causes algorithm service to carry
Need to study various video format and the SDK of video capture device provider offer for business, increase video structure analyzing
The difficulty of system docking, is unfavorable for the application of video structure analyzing and popularizes.It addition, conventional serial analytical model also cannot be expired
The video data of foot magnanimity analyzes demand.
Summary of the invention
In view of this, it is necessary to for the problems referred to above, it is provided that a kind of massive video structured analysis based on isomerous environment
System and method, by video decoding function from analysis module independent so that analyze module be solely focused on algorithm
Analysis part, and do not spend and be concerned about the encoding and decoding problem of video resource under different video monitoring platform, simplify video structural and divide
Analysis system accesses, and uses task cutting, transcoding and certain task scheduling and administrative mechanism to carry out resource process, and raising regards
The efficiency of frequency analysis..
To achieve these goals, technical scheme is as follows:
A kind of massive video structured analysis system based on isomerous environment, receives including task management module, Streaming Media
Module, transcoding module, analysis module；
Described task management module for being divided into some subtasks by receiving of task, and is assigned to Streaming Media reception mould
Block, carries out closing and being managed collectively according to the analysis result of each subtask；
Described Streaming Media receiver module is for obtaining video flowing according to the subtask of task management module distribution；
Described transcoding module is for carrying out transcoding, unified file format by the video file received from task management module；
Described analysis module is used for the video file received from task manager module is carried out structured analysis, and
Analysis result is back to task management module.
As preferably, also including some video monitoring platforms, described steaming media platform is downloaded from video monitoring platform and is regarded
Frequency stream, and notify that task management module has been downloaded.
As preferably, described task management module, Streaming Media receiver module, transcoding module and analysis module are all wrapped
Include a communicator module, communicate for an intermodule.
As preferably, described analysis module includes some video analysis submodules, described video analysis submodule
With video monitoring platform one_to_one corresponding.
As preferably, also include a view storehouse, for storing the standard video file after transcoding and each subtask
Analysis result.
One carries out massive video structural workflow net according to said system, comprises the following steps:
S1, task cutting；Task is cut into some subtasks, and each subtask is sent to Streaming Media reception mould
Block；
S2, streaming media resource obtain；
S3, video resource transcoding；
S4, video structure analyzing；
S5, task merging.
As preferably, described step S2 specifically includes: what Streaming Media receiver module received that task management module issues appoints
After business, downloading video recording resource from monitor supervision platform, after having downloaded, communicator module sends task to task management module and has downloaded
Become notice.
As preferably, described step S3 specifically includes: task management module receives Streaming Media receiver module task and downloads
After completion notice, transcoding task is sent to transcoding module by task management module；After transcoding module receives transcoding task, transcoding mould
Block carries out transcoding to video file, after transcoding completes, sends task transcoding completion notice to task management module.
As preferably, described step S4 specifically includes: transcoding notifies task management module, task management module after completing
Video analytic tasks is sent to analysis module, after analysis module receives video analytic tasks, video file is entered
Row structured analysis, after having analyzed, sends task analysis completion notice to task management module.
As preferably, described step S5 specifically includes: it is complete that task management module receives analysis module task analysis
After becoming notice, it is judged that all subtasks have the most all been analyzed, if having analyzed, then by task merging, notice user task is complete
Become, if also subtask is not fully complete, wait that other subtask completes.
Compared with prior art, the beneficial effects of the present invention is: the present invention is by dividing video decoding function from video
Analysis module is independent so that analyzes module and is solely focused on the analysis part of algorithm, and does not spend care different video monitoring and put down
The encoding and decoding problem of video resource under platform.Task is cut into multiple subtask by task management module, is assigned to each Streaming Media
Receiver module, transcoding module, analysis module, concurrently perform and complete task so that task from the acquisition of streaming media resource,
Multiple dimension such as video code conversion, video analysis is concurrently carried out, and improves the efficiency of video structure analyzing.The present invention have followed mark
Pseudo-crystalline lattice communication protocol, has autgmentability, reliable stability and efficientibility flexibly, can be transplanted to other phases simultaneously
Closing among scene, transcoding module the most of the present invention supports soft transcoding and the hard transcoding of GPU, makes full use of hardware resource, improves and divides
Analysis efficiency.
Accompanying drawing explanation
Fig. 1 is the system architecture diagram of the embodiment of the present invention；
Fig. 2 is the method flow diagram of the embodiment of the present invention；
Fig. 3 is that the streaming media resource of the embodiment of the present invention obtains handling process schematic diagram；
Fig. 4 is the video resource transcoding handling process schematic diagram of the embodiment of the present invention；
Fig. 5 is the video structure analyzing handling process schematic diagram of the embodiment of the present invention.
Detailed description of the invention
With embodiment, a kind of massive video structuring based on isomerous environment of the present invention is divided below in conjunction with the accompanying drawings
Analysis system and method are described further.
The following is a kind of massive video structured analysis system and method based on isomerous environment of the present invention
Good example, the most therefore limits protection scope of the present invention.
Fig. 1 shows a kind of massive video structured analysis system based on isomerous environment, including task management module, stream
Media receiver module, transcoding module, analysis module；
Described task management module for being divided into some subtasks by receiving of task, and is assigned to Streaming Media reception mould
Block, carries out closing and being managed collectively according to the analysis result of each subtask；Streaming Media receiver module obtains Streaming Media from isomerous environment
After code stream, transcoding task is assigned to transcoding module by task management module, and after transcoding completes, task management module is by after transcoding
Standard video file import view storehouse, is then assigned to analysis node by each subtask, and analysis node is based on standard video file
Carrying out video structure analyzing, the analysis result of each subtask is merged by task management module, and import view storehouse is entered
Row unified management.
Described Streaming Media receiver module obtains video flowing for the subtask distributed according to task management module, depending on
Frequently, image resource；
Described transcoding module for the video file received from task management module being carried out transcoding, unified file format,
In the present embodiment, obtain AVI video resource and the JPG image resource of standard, can be in conjunction with CPU transcoding；
Described analysis module is used for the video file received from task manager module is carried out structured analysis, and
Analysis result is back to task management module.
As preferably, also including n video monitoring platform, described steaming media platform is from video monitoring platform foradownloaded video
Stream, and notify that task management module has been downloaded.
As preferably, described task management module, Streaming Media receiver module, transcoding module and analysis module are all wrapped
Include a communicator module, communicate for an intermodule.
As preferably, described analysis module includes n video analysis submodule, described video analysis submodule with
Video monitoring platform one_to_one corresponding.
As preferably, also including a view storehouse, task management module is by the standard video file import view after transcoding
Storehouse, the analysis result of each subtask is merged by task management module, and import view storehouse is managed collectively.
One carries out massive video structural workflow net according to said system, comprises the following steps:
S1, task cutting；Task is cut into some subtasks, and each subtask is sent to Streaming Media reception mould
Block；
S2, streaming media resource obtain；
S3, video resource transcoding；
S4, video structure analyzing；
S5, task merging.
As preferably, described step S2 specifically includes: what Streaming Media receiver module received that task management module issues appoints
After business, downloading video recording resource from monitor supervision platform, after having downloaded, communicator module sends task to task management module and has downloaded
Become notice.
As preferably, described step S3 specifically includes: task management module receives Streaming Media receiver module task and downloads
After completion notice, transcoding task is sent to transcoding module by task management module；After transcoding module receives transcoding task, transcoding mould
Block carries out transcoding to video file, after transcoding completes, sends task transcoding completion notice to task management module.
As preferably, described step S4 specifically includes: transcoding notifies task management module, task management module after completing
Video analytic tasks is sent to analysis module, after analysis module receives video analytic tasks, video file is entered
Row structured analysis, after having analyzed, sends task analysis completion notice to task management module.
As preferably, described step S5 specifically includes: it is complete that task management module receives analysis module task analysis
After becoming notice, it is judged that all subtasks have the most all been analyzed, if having analyzed, then by task merging, notice user task is complete
Become, if also subtask is not fully complete, wait that other subtask completes.
Compared with prior art, the beneficial effects of the present invention is: the present invention is by dividing video decoding function from video
Analysis module is independent so that analyzes module and is solely focused on the analysis part of algorithm, and does not spend care different video monitoring and put down
The encoding and decoding problem of video resource under platform.Task is cut into multiple subtask by task management module, is assigned to each Streaming Media
Receiver module, transcoding module, analysis module, concurrently perform and complete task so that task from the acquisition of streaming media resource,
Multiple dimension such as video code conversion, video analysis is concurrently carried out, and improves the efficiency of video structure analyzing.The present invention have followed mark
Pseudo-crystalline lattice communication protocol, has autgmentability, reliable stability and efficientibility flexibly, can be transplanted to other phases simultaneously
Closing among scene, transcoding module the most of the present invention supports soft transcoding and the hard transcoding of GPU, makes full use of hardware resource, improves and divides
Analysis efficiency.
Embodiment described above only have expressed the several embodiments of the present invention, and it describes more concrete and detailed, but also
Therefore the restriction to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that, for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement, these broadly fall into the guarantor of the present invention
Protect scope.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a massive video structured analysis system based on isomerous environment, it is characterised in that include task management module, stream
Media receiver module, transcoding module, analysis module；
Described task management module for being divided into some subtasks by receiving of task, and is assigned to Streaming Media receiver module,
Analysis result according to each subtask carries out closing and being managed collectively；
Described Streaming Media receiver module is for obtaining video flowing according to the subtask of task management module distribution；
Described transcoding module is for carrying out transcoding, unified file format by the video file received from task management module；
Described analysis module for carrying out structured analysis by the video file received from task manager module, and will divide
Analysis result is back to task management module.
Massive video structured analysis system based on isomerous environment the most according to claim 1, it is characterised in that also wrap
Including some video monitoring platforms, described steaming media platform is from video monitoring platform download video stream, and notifies task management module
Download completes.
Massive video structured analysis system based on isomerous environment the most according to claim 1, it is characterised in that described
Task management module, Streaming Media receiver module, transcoding module and analysis module all include a communicator module, for a mould
Communicate between block.
Massive video structured analysis system based on isomerous environment the most according to claim 1, it is characterised in that described
Analysis module includes some video analysis submodules, described video analysis submodule and video monitoring platform one_to_one corresponding.
Massive video structured analysis system based on isomerous environment the most according to claim 1, it is characterised in that also wrap
Include a view storehouse, the standard video file after storing transcoding and the analysis result of each subtask.
6. carrying out a massive video structural workflow net according to the arbitrary described system of claim 1 to 5, its feature exists
In, comprise the following steps:
S1, task cutting；Task is cut into some subtasks, and each subtask is sent to Streaming Media receiver module；
S2, streaming media resource obtain；
S3, video resource transcoding；
S4, video structure analyzing；
S5, task merging.
Massive video structural workflow net the most according to claim 6, it is characterised in that described step S2 is specifically wrapped
Including: after Streaming Media receiver module receives the task that task management module issues, download video recording resource from monitor supervision platform, download completes
After, communicator module sends task to task management module and downloads completion notice.
Massive video structural workflow net the most according to claim 7, it is characterised in that described step S3 is specifically wrapped
Include: after task management module receives Streaming Media receiver module task download completion notice, transcoding task is sent out by task management module
Give transcoding module；After transcoding module receives transcoding task, transcoding module carries out transcoding to video file, after transcoding completes, to
Task management module sends task transcoding completion notice.
Massive video structural workflow net the most according to claim 6, it is characterised in that described step S4 is specifically wrapped
Include: transcoding notifies task management module after completing, and video analytic tasks is sent to analysis module by task management module, depending on
After frequency analysis module receives video analytic tasks, video file is carried out structured analysis, after having analyzed, to task management mould
Block sends task analysis completion notice.
Massive video structural workflow net the most according to claim 6, it is characterised in that described step S5 is specifically wrapped
Include: after task management module receives analysis module task analysis completion notice, it is judged that all subtasks have the most all been analyzed
Becoming, if having analyzed, then by task merging, notice user task completes, if also subtask is not fully complete, waits other subtask
Complete.
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| CN108363713A (en) * | 2017-12-20 | 2018-08-03 | 武汉烽火众智数字技术有限责任公司 | Video image information resolver, system and method |
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| CN109814996A (en) * | 2019-01-04 | 2019-05-28 | 平安科技（深圳）有限公司 | Streaming media control method, device and storage medium, computer equipment |
| CN110121060A (en) * | 2019-05-27 | 2019-08-13 | 中国电子科技网络信息安全有限公司 | A kind of intelligence enhancing device and method for IP Camera |
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