CN102595102A - Video structurally storing method - Google Patents
Video structurally storing method Download PDFInfo
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- CN102595102A CN102595102A CN2012100577217A CN201210057721A CN102595102A CN 102595102 A CN102595102 A CN 102595102A CN 2012100577217 A CN2012100577217 A CN 2012100577217A CN 201210057721 A CN201210057721 A CN 201210057721A CN 102595102 A CN102595102 A CN 102595102A
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Abstract
The invention relates to a video structurally storing method. The method comprises the following steps of: 1, transmitting the video content of each video monitoring area to a middle storage to be stored; and 2, structurally sorting the video content stored in the middle storage through a video analyzing and sorting device and storing the video content in sorting storages respectively, i.e. firstly, sorting the video content stored in the middle storage through the video analyzing and sorting device according to the time sequence and storing the video content in a first stage of storage part, secondly, sorting the video content stored in first stage of storage part according to fixed objects and non-fixed objects through the video analyzing and sorting device, and storing the video content belonging to the non-fixed objects in a second stage of storage part, and finally, extracting figure parts from the non-fixed objects in the video content stored in the second stage of storage part through the video analyzing and sorting device, sorting the video content according to characteristics of figures and storing the video content in a third stage of storage part.
Description
Technical field
The present invention relates to a kind of method that video content is stored, be meant especially and a kind ofly at first video content carried out structuring arrangement, the method for then video content after the arrangement being carried out the taxonomic structure storage.
Background technology
As everyone knows, video monitoring system is more and more being played the part of irreplaceable effect in work such as social management and event handling.Video monitoring system is all very huge on number or the scale in construction fund, but also there is the following outstanding problem in present video monitoring system in concrete the application.
At first, lack standardization generation method in the existing systems, and then lack the novel mode of operation of utilizing video information information to instruct investigation video information information.The application of video monitoring has now incorporated in the middle of the routine work of departments such as administration, scouting, but the mode that remains artificial that adopts goes to browse, investigate, and wastes time and energy.
Secondly, video information cross-domain, trans-departmental shared and is outstanding with the problem that interconnects of other information systems, and the language disunity of interdepartmental system causes information to become isolated island one by one, has limited the construction and the application of big information, big information system.
Once more; The problem of storage transmission; Because the restriction that will save a large amount of memory space and transmission bandwidth has to video data is compressed in a large number, not only causes image blurring problem; And the fixing mode underaction of compression ratio during video compression, have to take a large amount of memory spaces and transmission bandwidth.
The problem that also has efficient calculation simultaneously, because video monitoring requires the multifunctionality and the real-time of calculating, and the particularity of video data is brought the increase that assesses the cost, and needs to make up unified the video theory of computation and the framework that are used for video monitoring.
The standards and norms of each link lack of uniform of video information information application.At all being of all these problems, neither one to not the understanding of video content efficiently, the method extracted of the exchange of standardized video data and video information.Solving these practical problems, need be that the novel video monitoring system of core makes up and to carry out primary study to video structural description and with this technology.The challenge of meeting the video monitoring system degree of depth to use, its core and bottleneck are to solve the conversion of video monitoring data to video information, video information through research video structural description technology, realize the innovation of mode of operation.
Summary of the invention
The present invention provides a kind of video structural storage means; Method of the present invention is through the technology to the video content information extraction; To video content according to semantic relation; Adopt processing means such as space-time is cut apart, feature extraction, object identification, be organized into the technology of the text message that can supply computer and people's understanding.Method of the present invention can transform monitor video and be people and machine understandable information, and further is converted into the information in the practice, realize the conversion of video data to information, information, and this is to be main purpose of the present invention.
The technical scheme that the present invention adopted is: a kind of video structural storage means, comprise the steps,
The first step, the video content in each video monitoring regional transferred in the intermediate store store, in practical implementation, can confirm different video monitoring regionals according to concrete needs; Video monitoring regional can be divided according to the geographical position; Such as, to divide according to the zones of different in the city, video monitoring regional can also be divided according to the function of monitoring; Such as, to the monitoring of road traffic condition, to monitoring of main residence cell conditions or the like.
All be provided with several monitoring cameras in each this video monitoring regional, monitoring camera in this video monitoring regional is gathered the monitor video in this video monitoring regional, and the video content of monitor video transferred in this intermediate store stores.
Second step, stored video content in this intermediate store is carried out structure arrangement and store in the sorting memory respectively through the video analysis sorter.
In practical implementation this video analysis sorter stored video content in this intermediate store is carried out the mode of structure arrangement can be self-defined as required, put in order such as time according to video, put in order or the like according to the camera site of video.
In technical scheme of the present invention; This sorting memory comprises first order storage area, second level storage area and third level storage area, and this video analysis sorter carries out the structure arrangement to stored video content in this intermediate store according to following step:
Step 1, this video analysis sorter are put in order in proper order and are stored in this first order storage area according to the time order and function of taking stored video content in this intermediate store.
Step 2, this video analysis sorter carry out the differentiation arrangement of fixture and on-fixed thing to stored video content in this first order storage area, and the video content that includes the on-fixed thing in the video content is stored in this second level storage area.
Wherein, the object of fixture in video content, not moving, such as, house, trees, guardrail, fire hydrant or the like.
The on-fixed thing is the object that in video content, can move, such as, vehicle, personage, cat, dog or the like.
Step 3, this video analysis sorter carry out personage's extracting section to the on-fixed thing in the stored video content in this second level storage area, video content is classified and be stored in this third level storage area according to the personage's who extracts characteristic.
When extracting character features, at first, extract according to personage's clothing color, such as; The color of clothes, trousers then, is extracted according to personage's hair style, such as; Long hair, bob, last, extract according to personage's face; Such as, eye feature, nose characteristic, face characteristic or the like, thus structured storage accomplished to video content.
This sorting memory also comprises the video index information bank; This video index information bank comprises time index and character features index; The time of the shooting of the video content in this time index and this first order storage area is corresponding, and the staff can find video content relevant in this sorting memory fast through this time index in the time that the client terminal input need be searched video and be presented on the client terminal.
This character features index is corresponding with the character features of the video content of this third level storage area, and the staff can need search the personage possibly comprise in the video character features in the client terminal input and find video content relevant in this sorting memory fast through this character features index and be presented on the client terminal.
Beneficial effect of the present invention is: the informationization that technical scheme of the present invention can the round Realization monitoring video information in practical implementation, the wisdomization of video surveillance network, strengthen the universality of various Video Applications.Promptly realize being treated to main video information process and analysis automatically, and be converted into information available in the work through technological means with machine; Realize between the monitor network, between the terminal, interdepartmental information sharing and interoperability initiatively, realize initiatively monitoring, network function such as networking analysis automatically; Comprehensive expansion video application model at work increases substantially technological ease for use.
Description of drawings
Fig. 1 is a functional-block diagram of the present invention.
Embodiment
As shown in Figure 1, a kind of video structural storage means comprises the steps.
The first step, the video content in each video monitoring regional transferred in the intermediate store 10 store.
In practical implementation, can confirm different video monitoring regionals according to concrete needs, video monitoring regional can be divided according to the geographical position, such as, divide according to the zones of different in the city.
Video monitoring regional can also be divided according to the function of monitoring, such as, to the monitoring of road traffic condition, to monitoring of main residence cell conditions or the like.
All be provided with several monitoring cameras 11 in each this video monitoring regional; Monitoring camera in this video monitoring regional is gathered the monitor video in this video monitoring regional, and the video content of monitor video transferred in this intermediate store 10 stores.
Second step, carry out structure arrangement and store into respectively in the sorting memory 30 through stored video content in 20 pairs of these intermediate stores 10 of video analysis sorter.
In practical implementation in 20 pairs of these intermediate stores 10 of this video analysis sorter stored video content carry out the mode of structure arrangement can be self-defined as required; Time such as according to video puts in order, puts in order or the like according to the camera site of video.
In technical scheme of the present invention, this sorting memory 30 comprises first order storage area 31, second level storage area 32 and third level storage area 33.
Stored video content is carried out the structure arrangement according to following step in 20 pairs of these intermediate stores 10 of this video analysis sorter:
Stored video content is put in order in proper order and is stored in this first order storage area 31 according to the time order and function of taking in step 1,20 pairs of these intermediate stores 10 of this video analysis sorter.
Stored video content is carried out the differentiation arrangement of fixture and on-fixed thing in step 2,20 pairs of these first order storage areas 31 of this video analysis sorter, and the video content that includes the on-fixed thing in the video content is stored in this second level storage area 32.
Wherein, the object of fixture in video content, not moving, such as, house, trees, guardrail, fire hydrant or the like.
The on-fixed thing is the object that in video content, can move, such as, vehicle, personage, cat, dog or the like.
On-fixed thing in step 3,20 pairs of these second level storage areas 32 of this video analysis sorter in the stored video content carries out personage's extracting section, video content is classified and is stored in this third level storage area 33 according to the personage's who extracts characteristic.
When extracting character features, at first, extract according to personage's clothing color, such as; The color of clothes, trousers then, is extracted according to personage's hair style; Such as, long hair, bob, last; Face according to the personage extract, such as, eye feature, nose characteristic, face characteristic or the like.
Thereby accomplish structured storage to video content.
This sorting memory 30 also comprises video index information bank 34.
This video index information bank 34 comprises time index 341 and character features index 342.
The time of the shooting of the video content in this time index 341 and this first order storage area 31 is corresponding.
The staff can find video content relevant in this sorting memory 30 fast through this time index 341 in the time that the client terminal input need be searched video and be presented on the client terminal.
This character features index 342 is corresponding with the character features of the video content of this third level storage area 33.
The staff can need search the personage possibly comprise in the video character features in the client terminal input and find video content relevant in this sorting memory 30 fast through this character features index 342 and be presented on the client terminal.
Claims (5)
1. video structural storage means is characterized in that: comprises the steps,
The first step, the video content in each video monitoring regional transferred in the intermediate store store; All be provided with several monitoring cameras in each this video monitoring regional; Monitoring camera in this video monitoring regional is gathered the monitor video in this video monitoring regional; And the video content of monitor video transferred in this intermediate store store
Second step, stored video content in this intermediate store carried out structure arrangement and store into respectively in the sorting memory through the video analysis sorter,
This sorting memory comprises first order storage area, second level storage area and third level storage area, and this video analysis sorter carries out the structure arrangement to stored video content in this intermediate store according to following step:
Step 1, this video analysis sorter are put in order in proper order and are stored in this first order storage area according to the time order and function of taking stored video content in this intermediate store,
Step 2, this video analysis sorter carry out the differentiation arrangement of fixture and on-fixed thing to stored video content in this first order storage area; And the video content that includes the on-fixed thing in the video content is stored in this second level storage area; Wherein, The object of fixture in video content, not moving, on-fixed thing are the object that in video content, can move
Step 3, this video analysis sorter carry out personage's extracting section to the on-fixed thing in the stored video content in this second level storage area; Video content is classified and be stored in this third level storage area according to the personage's who extracts characteristic, thereby accomplish structured storage video content.
2. a kind of video structural storage means as claimed in claim 1 is characterized in that: in the first step, this video monitoring regional is divided according to the geographical position.
3. a kind of video structural storage means as claimed in claim 1 is characterized in that: in the first step, video monitoring regional is divided according to the function of monitoring.
4. a kind of video structural storage means as claimed in claim 1; It is characterized in that: in the step 3 in second step, when extracting character features, at first, extract according to personage's clothing color; Then; Hair style according to the personage is extracted, and is last, extracts according to personage's face.
5. a kind of video structural storage means as claimed in claim 1; It is characterized in that: this sorting memory also comprises the video index information bank; This video index information bank comprises time index and character features index; The time of the shooting of the video content in this time index and this first order storage area is corresponding; The staff found video content relevant in this sorting memory fast by this time index and is presented on the client terminal in the time that the client terminal input need be searched video
This character features index is corresponding with the character features of the video content of this third level storage area, and the staff need search the personage possibly comprise in the video character features in the client terminal input and find video content relevant in this sorting memory fast through this character features index and be presented on the client terminal.
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| CN2012100577217A CN102595102A (en) | 2012-03-07 | 2012-03-07 | Video structurally storing method |
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| CN2012100577217A CN102595102A (en) | 2012-03-07 | 2012-03-07 | Video structurally storing method |
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| WO2014040530A1 (en) * | 2012-09-12 | 2014-03-20 | Huawei Technologies Co., Ltd. | Tiered storage for video surveillance |
| CN106326462A (en) * | 2016-08-30 | 2017-01-11 | 北京奇艺世纪科技有限公司 | Video index grading method and device |
| CN107832402A (en) * | 2017-11-01 | 2018-03-23 | 武汉烽火众智数字技术有限责任公司 | Dynamic exhibition system and its method during a kind of video structural fructufy |
| CN108446620A (en) * | 2018-03-13 | 2018-08-24 | 成都蓉兴伟业科技有限公司 | A kind of Intelligent target method for tracing based on video |
| CN110177255A (en) * | 2019-05-30 | 2019-08-27 | 北京易华录信息技术股份有限公司 | A kind of video information dissemination method and system based on case scheduling |
| CN110381165A (en) * | 2019-08-06 | 2019-10-25 | 段磊 | A kind of shared memory systems of the high-availability cluster based on video monitoring |
| CN111356004A (en) * | 2020-04-14 | 2020-06-30 | 深圳市小微学苑科技有限公司 | Storage method and system of universal video file |
| CN115633248A (en) * | 2022-12-22 | 2023-01-20 | 浙江宇视科技有限公司 | Multi-scene cooperative detection method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2014040530A1 (en) * | 2012-09-12 | 2014-03-20 | Huawei Technologies Co., Ltd. | Tiered storage for video surveillance |
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| CN107832402A (en) * | 2017-11-01 | 2018-03-23 | 武汉烽火众智数字技术有限责任公司 | Dynamic exhibition system and its method during a kind of video structural fructufy |
| CN107832402B (en) * | 2017-11-01 | 2021-08-03 | 武汉烽火众智数字技术有限责任公司 | Dynamic display system and method for video structured fruit bearing |
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| CN110381165A (en) * | 2019-08-06 | 2019-10-25 | 段磊 | A kind of shared memory systems of the high-availability cluster based on video monitoring |
| CN111356004A (en) * | 2020-04-14 | 2020-06-30 | 深圳市小微学苑科技有限公司 | Storage method and system of universal video file |
| CN115633248A (en) * | 2022-12-22 | 2023-01-20 | 浙江宇视科技有限公司 | Multi-scene cooperative detection method and system |
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Application publication date: 20120718 |