CN110177255A - A kind of video information dissemination method and system based on case scheduling - Google Patents

A kind of video information dissemination method and system based on case scheduling Download PDF

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CN110177255A
CN110177255A CN201910467214.2A CN201910467214A CN110177255A CN 110177255 A CN110177255 A CN 110177255A CN 201910467214 A CN201910467214 A CN 201910467214A CN 110177255 A CN110177255 A CN 110177255A
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video
case
information
data
multiclass
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CN110177255B (en
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丛长明
宋滨鹄
谷桐宇
赵然
陈路
陈现朋
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Beijing E Hualu Information Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-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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Abstract

The present invention provides a kind of video information dissemination methods and system based on case scheduling, this method comprises: obtaining video monitoring data;Signature analysis is carried out to video monitoring data and carries out tagsort according to default feature extraction rule, generates multiclass video feature information;Obtain the case information of case to be processed;Video data relevant to case to be processed is extracted from multiclass video feature information according to case information;Video data is sent to each default terminal according to default access rule.By implementing the present invention, it realizes and multitude of video monitoring data is screened automatically, improve the treatment effeciency of video data, and multiclass video information is further screened according to the specific case information of case to be processed, with obtain with the related video information of case to be processed, and by the video data filtered out according to default access rule automatic push to each default terminal by way of, extracted without artificial, it is time saving and energy saving, further improve case handling efficiency.

Description

A kind of video information dissemination method and system based on case scheduling
Technical field
The present invention relates to criminal investigation technical fields, and in particular to a kind of video information dissemination method based on case scheduling And system.
Background technique
With the development of video monitoring equipment, a large amount of video is provided to the detection of all kinds of cases for public security organ and is believed Breath, these video informations have the progress of entire case important as case clue and a kind of important means of information gathering Effect.During all kinds of cracking of cases and clue, information gathering, since the video resource information content is excessively huge, wherein Nugatory video information is also more, this just gives the accurate positionin related objective video from massive video to increase difficulty.Mesh Before, it generallys use manual type and effective information in case-involving video is extracted, but this mode takes time and effort, extreme influence Case handling efficiency, and since to transfer associated video purpose not different for commensurate for different categories within police force, it needs manually to repeat to extract view Frequency information causes the waste of human resources.
Summary of the invention
In view of this, the embodiment of the invention provides the video information dissemination method and system dispatched based on case, with gram Clothes in the prior art extract effective information in case-involving video using manual type, take time and effort, influence case handling efficiency Problem.
The embodiment of the invention provides a kind of video information dissemination methods based on case scheduling, comprising: obtains video prison Control data;Signature analysis is carried out to the video monitoring data and carries out tagsort according to default feature extraction rule, is generated Multiclass video feature information;Obtain the case information of case to be processed;According to the case information from the multiclass video features Video data relevant to the case to be processed is extracted in information;According to default access rule by the video data send to Each default terminal.
Optionally, the multiclass video feature information includes: vehicle characteristic information, person characteristic information, behavioural characteristic letter Breath and specific validity feature information.
Optionally, the case information includes: case temporal information and case location information, described to be believed according to the case Breath extracts video data relevant to the case to be processed from the multiclass video feature information, comprising: according to it is default when Between threshold value preselected video data corresponding with the case temporal information are extracted from the multiclass video feature information;According to pre- If position range extracts the video data corresponding with the case location information from the preselected video data.
Optionally, described to be sent the video data to each default terminal according to default access rule, comprising: will be described Video data is combined classification according to the type of the case to be processed;The video extraction for obtaining each default terminal is asked It asks;According to default access rule and video extraction request by the video data after the assembled classification send to Each default terminal.
The embodiment of the invention also provides a kind of video information delivery systems based on case scheduling, comprising: video monitoring Data acquisition module, for obtaining video monitoring data;Characteristics analysis module, for carrying out feature to the video monitoring data It analyzes and carries out tagsort according to default feature extraction rule, generate multiclass video feature information;Case data obtaining module, For obtaining the case information of case to be processed;Video extraction, for according to the case information from the multiclass video Video data relevant to the case to be processed is extracted in characteristic information;Video push module, for being advised according to default access Then the video data is sent to each default terminal.
Optionally, the multiclass video feature information includes: vehicle characteristic information, person characteristic information, behavioural characteristic letter Breath and specific validity feature information.
Optionally, the case information includes: case temporal information and case location information, the video extraction packet It includes: the first extracting sub-module, for being extracted from the multiclass video feature information according to preset time threshold and the case The corresponding preselected video data of temporal information;Second extracting sub-module, for according to predeterminated position range from the preselected video The video data corresponding with the case location information is extracted in data.
Optionally, the video push module includes: assembled classification submodule, is used for the video data according to described The type of case to be processed is combined classification;Request submodule, for obtaining the video extraction of each default terminal Request;Submodule is pushed, for will be after the assembled classification according to default access rule and video extraction request The video data is sent to each default terminal.
The embodiment of the invention also provides a kind of electronic equipment, comprising: memory and processor, the memory and described Connection is communicated with each other between processor, computer instruction is stored in the memory, the processor is by executing the meter The instruction of calculation machine provides the video information dissemination method based on case scheduling thereby executing the embodiment of the present invention.
The embodiment of the invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage Computer instruction, the computer instruction are used to that the computer to be made to execute described in offer of the embodiment of the present invention based on case tune The video information dissemination method of degree.
Technical solution of the present invention has the advantages that
The embodiment of the invention provides a kind of video information dissemination methods and system based on case scheduling, are regarded by obtaining Frequency monitoring data simultaneously carries out it to carry out tagsort according to default feature extraction rule after signature analysis, and it is special to generate multiclass video Reference breath, then obtain the case information of case to be processed, is extracted from multiclass video feature information according to the case information and The relevant video data of case to be processed, finally sends video data to each default terminal according to default access rule.From And by way of carrying out signature analysis classification to multitude of video monitoring data automatically, it is effective to case processing to filter out multiclass Different types of video information improves the treatment effeciency of video data, and according to the specific case information of case to be processed Multiclass video information is further screened, with obtain with the related video information of case to be processed, and pass through by The video data filtered out is extracted without artificial, is saved according to default access rule automatic push to the mode of each default terminal Shi Shengli further improves case handling efficiency.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of the video information dissemination method based on case scheduling in the embodiment of the present invention;
Fig. 2 is the structural schematic diagram of the video information delivery system based on case scheduling in the embodiment of the present invention;
Fig. 3 is the structural schematic diagram of the electronic equipment in the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those skilled in the art are not having Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
As long as technical characteristic involved in invention described below different embodiments does not constitute punching each other It is prominent to be combined with each other.
The embodiment of the invention provides a kind of video information dissemination methods based on case scheduling, as shown in Figure 1, this is based on The video information dissemination method of case scheduling, specifically comprises the following steps:
Step S1: video monitoring data is obtained.In practical applications, which is by video private network, Police Information A variety of unstructured video datas of net or other comprehensive networks are according to the acquisition time of video data and position by preliminary whole Video data after reason, such as: it include a plurality of street in the preset compass of competency of public security organ, wherein on certain street It was provided with vehicle video acquisition point, bayonet video acquisition point, school district monitor video collection point etc., thus can will be on the street All video acquisition point video datas collected such as were adopted according to the time of video acquisition for fixed video with 24 hours Collect the period, obtains video data that video acquisition point all within the scope of this street acquired within past 24 hours as above-mentioned Video monitoring data.It includes that all kinds of video informations are abundant that video monitoring data, which has the characteristics that data volume greatly, usually public security Organ, which handles a case, provides strong video evidence.
Step S2: carrying out signature analysis to video monitoring data and carry out tagsort according to default feature extraction rule, Generate multiclass video feature information.In practical applications, which includes: vehicle characteristics extraction, Ren Wute Sign is extracted, behavioural characteristic is extracted and other specific validity features extract, it should be noted that in practical applications, the default spy Sign extracting rule can according to need and be configured, for example, the acquisition according to required for public security organ video data concrete type It extracts, the present invention is not limited thereto.Above-mentioned multiclass video feature information includes: vehicle characteristic information, character features Information, behavior characteristic information and specific validity feature information etc..Such as: signature analysis is carried out to the video data file of magnanimity, Most basic element information is parsed, such as the information of vehicles in bayonet video, license plate number, vehicle color, vehicle size model, People information face characteristic information in In Public Places of Hotels monitor video and the characteristic information of the crowd behaviour in all kinds of videos etc. Deng, it is first that matching cluster is carried out according to the information inside video, form the preliminary structuring video information simplified, such as bayonet view Information of vehicles in frequency, license plate number, vehicle color, vehicle size model, the people information people in In Public Places of Hotels monitor video The characteristic information of crowd behaviour etc. in face characteristic information and all kinds of videos.
Step S3: the case information of case to be processed is obtained.In practical applications, which includes: the case time Information and case location information etc..
Step S4: video counts relevant to case to be processed are extracted from multiclass video feature information according to case information According to.
Specifically, in one embodiment, above-mentioned step S4, specifically comprises the following steps:
Step S41: it is extracted from multiclass video feature information according to preset time threshold corresponding with case temporal information Preselected video data.In practical applications, which is example in the time of one segment limit of case time of origin Such as: the time of origin of a certain case is 8 points of the morning, and preset time threshold is 2 hours, then needs from above-mentioned multiclass video features In information extract 7 points of the morning to the preselected video data in 9 time ranges of the morning, thus to multiclass video feature information into The preliminary screening of row, rejects invalid video information.
Step S42: video corresponding with case location information is extracted from preselected video data according to predeterminated position range Data.In practical applications, which occurs within the scope of the certain distance of position for the case, such as: a certain case Scene be certain cell, predeterminated position range be 5 kilometers, then need to extract the cell five from above-mentioned preselected video data Video data in kilometer range rejects invalid video information to further be screened to multiclass video feature information, It obtains and the maximum the most useful video information of the case degree of association.
In practical applications, such as: the temporal information that a certain larceny case occurs is 9 points of the morning, and place is certain cell, Then mentioning for effective information can be carried out from a large amount of video data according to the temporal information and location information of the larceny case It takes, such as monitoring area is that monitoring period is view included in 8 points to 10 points of video of the morning in video near the cell Frequency characteristic information is of great significance to the detection of the burglary and the collection of evidence, then can be to a large amount of video feature information Effectively screened.
Step S5: video data is sent to each default terminal according to default access rule.
Specifically, in one embodiment, above-mentioned step S5, specifically comprises the following steps:
Step S51: video data is combined classification according to the type of case to be processed.In practical applications, the view Frequency is obtained according to that may include video information acquired in multiple monitoring devices of different location setting in these distinct devices It include identical video feature information in video information, it specifically, can be according to case classification (major class including case and small Class) and the content of case the classification of video data needed for classification determines all kinds of cases is carried out to case, by video acquisition position The place that each cell classification in each area under one's jurisdiction determines video information acquisition is set, is carried out according to structured messages such as " people " " object " " vehicles " related Base support is done in the push of video data after being classified as.Such as: there are five video monitoring equipments for the setting nearby of certain cell, this five A video monitoring equipment has taken the video information of a certain case-involving vehicle jointly, then can will view related with the case-involving vehicle Frequency is according to being integrated into same category of combination, can should when default terminal request extracts the video data of the case-involving vehicle Composite video data are directly pushed to the default terminal.
Step S52: the video extraction request of each default terminal is obtained.In practical applications, each portion in public security system Difference therefore can be by obtaining view transmitted by default terminal corresponding to each department for video information required for door Frequency extracts request as the foundation for presetting terminal push corresponding video data to this.
Step S53: the video data after assembled classification is sent to each according to default access rule and video extraction request Default terminal.In practical applications, which is the Permission Levels of each department, can be wanted according to public security inside Ask formulation, the difference of the video information as needed for different alarm bell differences department, be arranged the classification permission accordingly pushed and The default terminal of push.The default terminal can be mobile video APP receiving terminal in practical applications, and mobile APP is mainly used for Facilitate people's police to be checked case-involving associated video at any time outside and uploads case associated video.
S1 to step S5 through the above steps, the video information publisher provided in an embodiment of the present invention based on case scheduling Method passes through and obtains video monitoring data and carry out carrying out tagsort according to default feature extraction rule after signature analysis to it, Multiclass video feature information is generated, the case information of case to be processed is then obtained, it is special from multiclass video according to the case information Video data relevant to case to be processed is extracted in reference breath, is finally sent video data to each according to default access rule A default terminal.To filter out multiclass pair by way of carrying out signature analysis classification to multitude of video monitoring data automatically The effective different types of video information of case processing, improves the treatment effeciency of video data, and according to case to be processed Specific case information multiclass video information is further screened, to obtain and the related video of case to be processed is believed Breath, and by the video data filtered out according to default access rule automatic push to each default terminal by way of, nothing It need to manually extract, it is time saving and energy saving, further improve case handling efficiency.
The embodiment of the invention also provides a kind of video information delivery systems based on case scheduling, as shown in Fig. 2, the base It is specifically included in the video information delivery system of case scheduling:
Video monitoring data obtains module 1, for obtaining video monitoring data.Detailed content is referring to above method embodiment The associated description of middle step S1.
Characteristics analysis module 2, for video monitoring data carry out signature analysis and according to default feature extraction rule into Row tagsort generates multiclass video feature information.Detailed content referring to step S2 in above method embodiment associated description.
Case data obtaining module 3, for obtaining the case information of case to be processed.Detailed content is referring to above method reality Apply the associated description of step S3 in example.
Video extraction 4, for being extracted from multiclass video feature information and case phase to be processed according to case information The video data of pass.Detailed content referring to step S4 in above method embodiment associated description.
Video push module 5, for being sent video data to each default terminal according to default access rule.Detailed content Referring to the associated description of step S5 in above method embodiment.
By the cooperative cooperating of above-mentioned each component part, the video letter provided in an embodiment of the present invention based on case scheduling Delivery system is ceased, is passed through and is obtained video monitoring data and it is carried out after signature analysis carrying out according to default feature extraction rule special Sign classification, generates multiclass video feature information, then obtains the case information of case to be processed, according to the case information from multiclass Relevant to case to be processed video data is extracted in video feature information, finally according to default access rule by video data transmitting It send to each default terminal.To filter out by way of carrying out signature analysis classification to multitude of video monitoring data automatically Multiclass improves the treatment effeciency of video data, and according to wait locate to the effective different types of video information of case processing The specific case information of reason case further screens multiclass video information, related with case to be processed to obtain Video information, and pass through the video data that will be filtered out according to default access rule automatic push to the side of each default terminal Formula is extracted without artificial, time saving and energy saving, further improves case handling efficiency.
Specifically, in one embodiment, above-mentioned multiclass video feature information includes: vehicle characteristic information, character features letter Breath, behavior characteristic information and specific validity feature information.
Specifically, in one embodiment, case information includes: case temporal information and case location information, video extraction Module 4 specifically includes:
First extracting sub-module 41, when for being extracted from multiclass video feature information according to preset time threshold with case Between the corresponding preselected video data of information.Detailed content referring to step S41 in above method embodiment associated description.
Second extracting sub-module 42 is believed for extracting from preselected video data according to predeterminated position range with case position Cease corresponding video data.Detailed content referring to step S42 in above method embodiment associated description.
Specifically, in one embodiment, above-mentioned video push module 5 includes:
Assembled classification submodule 51, for video data to be combined classification according to the type of case to be processed.In detail Content referring to step S51 in above method embodiment associated description.
Request submodule 52, the video extraction for obtaining each default terminal are requested.Detailed content is referring to above-mentioned side The associated description of step S52 in method embodiment.
Submodule 53 is pushed, for requesting according to default access rule and video extraction by the video data after assembled classification It is sent to each default terminal.Detailed content referring to step S53 in above method embodiment associated description.
By the cooperative cooperating of above-mentioned each component part, the video letter provided in an embodiment of the present invention based on case scheduling Delivery system is ceased, is passed through and is obtained video monitoring data and it is carried out after signature analysis carrying out according to default feature extraction rule special Sign classification, generates multiclass video feature information, then obtains the case information of case to be processed, according to the case information from multiclass Relevant to case to be processed video data is extracted in video feature information, finally according to default access rule by video data transmitting It send to each default terminal.To filter out by way of carrying out signature analysis classification to multitude of video monitoring data automatically Multiclass improves the treatment effeciency of video data, and according to wait locate to the effective different types of video information of case processing The specific case information of reason case further screens multiclass video information, related with case to be processed to obtain Video information, and pass through the video data that will be filtered out according to default access rule automatic push to the side of each default terminal Formula is extracted without artificial, time saving and energy saving, further improves case handling efficiency.
Below by from the angle of network structure specifically to it is above-mentioned based on case dispatch video information delivery system into Row explanation, the system can divide are as follows: application layer, data Layer, service layer and access layer, in which:
Access layer
First by open excuse standard, realize to a variety of of video private network, Police Computer Network or other comprehensive networks Unstructured data, such as vehicle video is crossed, bayonet video, school district monitor video, face picture, convolutional neural networks analysis mould Type analyzes the first video data file artificially sorted out substantially according to video point position of magnanimity, parses most base Information of vehicles in this element information such as bayonet video, license plate number, vehicle color, vehicle size model, In Public Places of Hotels The characteristic information of crowd behaviour etc. in people information face characteristic information and all kinds of videos in monitor video, first root Matching cluster is carried out according to the information inside video, forms the preliminary structured message simplified.
Service layer
Based on the information after the structuring of video, structured message and video file are stored to distributed storage system System.Service layer pushes platform for upper layer application and provides the basic data of video image by calling underlying services interface, realizes flat Computing resource and data is shared in platform, constructs open Video Applications service system.
Data Layer
With video cloud storage, video cloud computing, big data infrastructure service etc. for technical support, by integrating vehicle number According to, data such as human face data, WiFi information, ID card information, electromagnetic trajectory, event information, according to case classification (including case Major class and group) and the content of case video structural data class needed for classification determines all kinds of cases is carried out to case Not, the place that video information acquisition is determined by each cell classification in each area under one's jurisdiction in video acquisition position is tied according to " people " " object " " vehicle " etc. Structure information carries out classification push after relevant classification is and does base support.
Application layer
It is illegal by case relevant information personnel's face feature information in conjunction with the different practical business demands of the more categories within police force of public security Vehicle characteristic information, suspicious object characteristic information integrate, while integrating associated video structured message and subsidiary phase The specific storage location information of the case-involving video closed.The location information obtained according to video image is as basis, for different The crime place of case is associated with case periphery video resource, further according to obtained in big data platform case information, suspect face Portion's characteristic information, suspect's ID card information and relevant departments' information carry out association again, and video big data is adopted with a variety of The case related data of collection collides excavation mode, and obtaining out directly can associated case-involving video information and related structured data Information (first elects direct pushed information), and catalogue is integrated out in video acquisition point relevant information collection in place periphery according to crime address File push, if according to policeman in charge of the case's demand (secondary to push away information), case is related to for push associated video and structured message Catalogue push is integrated out in the video information collection of other staff related personnel, if push associated video and structuring are according to doing Case people's police demand (secondary to push away information).
The video information delivery system of case scheduling provided in an embodiment of the present invention, according to case information and department's information The structured message and video of automatic distribution associated video, greatly reduce the work of police, improve their work Make efficiency, video and structured message are transferred, and video and structured message transfer screening, and video and structured message transfer distribution By once, reduction is handled a case the early-stage preparations time significantly.Also intelligentized reduction operation flow, constituent parts go application to adjust to the system Taking the time cycle of video will also reduce significantly, as long as application can receive relevant information to information permission.Policeman in charge of the case can be with By the mobile APP of correlation, case associated video and relevant structural information are checked at any time, uploads case-involving associated video, significantly Improve case handling efficiency.
A kind of electronic equipment is additionally provided according to embodiments of the present invention, as shown in figure 3, the electronic equipment may include processing Device 901 and memory 902, wherein processor 901 can be connected with memory 902 by bus or other modes, in Fig. 3 with For being connected by bus.
Processor 901 can be central processing unit (Central Processing Unit, CPU).Processor 901 may be used also Think other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field- Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic, The combination of the chips such as discrete hardware components or above-mentioned all kinds of chips.
Memory 902 is used as a kind of non-transient computer readable storage medium, can be used for storing non-transient software program, non- Transient computer executable program and module, such as the video information dissemination method dispatched based on case in the embodiment of the present invention Corresponding program instruction/module.Processor 901 is by running the non-transient software program being stored in memory 902, instruction And module, thereby executing the various function application and data processing of processor, i.e. base in realization above method embodiment In the video information dissemination method of case scheduling.
Memory 902 may include storing program area and storage data area, wherein storing program area can store operation system Application program required for system, at least one function;It storage data area can the data etc. that are created of storage processor 901.In addition, Memory 902 may include high-speed random access memory, can also include non-transient memory, and a for example, at least disk is deposited Memory device, flush memory device or other non-transient solid-state memories.In some embodiments, it includes opposite that memory 902 is optional In the remotely located memory of processor 901, these remote memories can pass through network connection to processor 901.Above-mentioned net The example of network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
One or more module is stored in memory 902, and when being executed by processor 901, it is real to execute the above method Apply the video information dissemination method based on case scheduling in example.
Above-mentioned electronic equipment detail can be corresponded to refering to associated description corresponding in above method embodiment and effect Understood, details are not described herein again.
It is that can lead to it will be understood by those skilled in the art that realizing all or part of the process in above-described embodiment method Computer program is crossed to instruct relevant hardware and complete, program can be stored in a computer-readable storage medium, should Program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium can be magnetic disk, CD, read-only It is storage memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), fast Flash memory (Flash Memory), hard disk (Hard Disk Drive, abbreviation: HDD) or solid state hard disk (Solid-State Drive, SSD) etc.;Storage medium can also include the combination of the memory of mentioned kind.
Although being described in conjunction with the accompanying the embodiment of the present invention, those skilled in the art can not depart from the present invention Spirit and scope in the case where various modifications and variations can be made, such modifications and variations are each fallen within by appended claims institute Within the scope of restriction.

Claims (10)

1. a kind of video information dissemination method based on case scheduling characterized by comprising
Obtain video monitoring data;
Signature analysis is carried out to the video monitoring data and carries out tagsort according to default feature extraction rule, generates multiclass Video feature information;
Obtain the case information of case to be processed;
Video counts relevant to the case to be processed are extracted from the multiclass video feature information according to the case information According to;
The video data is sent to each default terminal according to default access rule.
2. the video information dissemination method according to claim 1 based on case scheduling, which is characterized in that the multiclass view Frequency characteristic information includes: vehicle characteristic information, person characteristic information, behavior characteristic information and specific validity feature information.
3. the video information dissemination method according to claim 1 based on case scheduling, which is characterized in that the case letter Breath includes: case temporal information and case location information, it is described according to the case information from the multiclass video feature information Middle extraction video data relevant to the case to be processed, comprising:
Pre-selection corresponding with the case temporal information is extracted from the multiclass video feature information according to preset time threshold Video data;
The video corresponding with the case location information is extracted from the preselected video data according to predeterminated position range Data.
4. the video information dissemination method according to claim 1-3 based on case scheduling, which is characterized in that It is described to be sent the video data to each default terminal according to default access rule, comprising:
The video data is combined classification according to the type of the case to be processed;
Obtain the video extraction request of each default terminal;
The video data after the assembled classification is sent according to the default access rule and video extraction request To each default terminal.
5. a kind of video information delivery system based on case scheduling characterized by comprising
Video monitoring data obtains module, for obtaining video monitoring data;
Characteristics analysis module, for carrying out signature analysis to the video monitoring data and being carried out according to default feature extraction rule Tagsort generates multiclass video feature information;
Case data obtaining module, for obtaining the case information of case to be processed;
Video extraction, for extracted from the multiclass video feature information according to the case information with it is described to be processed The relevant video data of case;
Video push module, for being sent the video data to each default terminal according to default access rule.
6. the video information dissemination method according to claim 5 based on case scheduling, which is characterized in that the multiclass view Frequency characteristic information includes: vehicle characteristic information, person characteristic information, behavior characteristic information and specific validity feature information.
7. the video information dissemination method according to claim 5 based on case scheduling, which is characterized in that the case letter Breath includes: case temporal information and case location information, and the video extraction includes:
First extracting sub-module, for being extracted from the multiclass video feature information according to preset time threshold and the case The corresponding preselected video data of temporal information;
Second extracting sub-module, for being extracted from the preselected video data according to predeterminated position range and the case position The corresponding video data of information.
8. according to the described in any item video information dissemination methods based on case scheduling of claim 5-7, which is characterized in that The video push module includes:
Assembled classification submodule, for the video data to be combined classification according to the type of the case to be processed;
Request submodule, the video extraction for obtaining each default terminal are requested;
Submodule is pushed, for requesting according to the default access rule and the video extraction by the institute after the assembled classification Video data is stated to send to each default terminal.
9. a kind of electronic equipment characterized by comprising
Memory and processor communicate with each other connection, are stored in the memory between the memory and the processor Computer instruction, the processor are described in any item thereby executing claim 1-4 by executing the computer instruction Video information dissemination method based on case scheduling.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer to refer to It enables, the computer instruction is for dispatching the computer based on case thereby executing claim 1-4 is described in any item Video information dissemination method.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717425A (en) * 2019-09-26 2020-01-21 深圳市商汤科技有限公司 Case association method and device, electronic equipment and storage medium
CN111178231A (en) * 2019-12-26 2020-05-19 航天信息股份有限公司 Object monitoring method and device
CN112383800A (en) * 2020-10-12 2021-02-19 特斯联科技集团有限公司 Method and device for distributing and scheduling monitoring video data and electronic equipment
CN112434580A (en) * 2020-11-13 2021-03-02 珠海大横琴科技发展有限公司 Video statistical analysis method and device
CN115396239A (en) * 2022-10-28 2022-11-25 四川安洵信息技术有限公司 Intelligent platform and application method and system thereof in assisting criminal investigation

Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1388802B1 (en) * 2002-07-30 2008-05-07 Omron Corporation Face identification device and face identification method
CN101465033A (en) * 2008-05-28 2009-06-24 丁国锋 Automatic tracking recognition system and method
CN201278180Y (en) * 2008-05-28 2009-07-22 丁国锋 Automatic tracking recognition system
CN101655860A (en) * 2009-09-16 2010-02-24 北京中盾安全技术开发公司 Video aided analytical method for criminal investigation and case detection and system
US20100080418A1 (en) * 2008-09-29 2010-04-01 Atsushi Ito Portable suspicious individual detection apparatus, suspicious individual detection method, and computer-readable medium
CN101753996A (en) * 2009-12-17 2010-06-23 北京中星微电子有限公司 Management method for user rights in video monitoring system, and video monitoring system
CN102572215A (en) * 2011-12-14 2012-07-11 深圳市贝尔信智能系统有限公司 City-class visual video analysis method and server
CN102595102A (en) * 2012-03-07 2012-07-18 深圳市信义科技有限公司 Video structurally storing method
CN104320625A (en) * 2014-11-04 2015-01-28 无锡港湾网络科技有限公司 Intelligent video monitoring method and system for safe village
CN105354548A (en) * 2015-10-30 2016-02-24 武汉大学 Surveillance video pedestrian re-recognition method based on ImageNet retrieval
CN105828030A (en) * 2016-03-14 2016-08-03 珠海经济特区远宏科技有限公司 Video investigation mobile terminal system
CN105933667A (en) * 2016-06-17 2016-09-07 首都医科大学 Video recording management system and method
CN106250846A (en) * 2016-07-29 2016-12-21 昆明理工大学 A kind of public security image method for detecting based on video monitoring
US20170142345A1 (en) * 2008-02-28 2017-05-18 Avigilon Analytics Corporation Intelligent high resolution video system
US20170213086A1 (en) * 2016-01-21 2017-07-27 Wizr Llc Cloud platform with multi camera synchronization
CN106998444A (en) * 2017-02-14 2017-08-01 北京中科天云科技有限公司 A kind of big data face monitoring system and device
CN107194006A (en) * 2017-06-19 2017-09-22 深圳警翼智能科技股份有限公司 A kind of video features structural management method
US20170289504A1 (en) * 2016-03-31 2017-10-05 Ants Technology (Hk) Limited. Privacy Supporting Computer Vision Systems, Methods, Apparatuses and Associated Computer Executable Code
US20170364537A1 (en) * 2017-08-15 2017-12-21 Secrom LLC Image-aided data collection and retrieval
US20180101723A1 (en) * 2016-10-07 2018-04-12 Panasonic Intellectual Property Management Co., Ltd. Monitoring video analysis system and monitoring video analysis method
CN107944371A (en) * 2017-11-17 2018-04-20 辽宁公安司法管理干部学院 A kind of public security video monitoring image processing method based on data mining
CN108052916A (en) * 2017-12-23 2018-05-18 宁波亿拍客网络科技有限公司 It is a kind of limited to be related to privacy information and specific information analysis process system
CN108471518A (en) * 2018-03-21 2018-08-31 东莞仲天电子科技有限公司 A kind of command system applied to police service fusion
CN108965804A (en) * 2018-07-06 2018-12-07 安徽超清科技股份有限公司 A kind of video structural technology for city security protection

Patent Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1388802B1 (en) * 2002-07-30 2008-05-07 Omron Corporation Face identification device and face identification method
US20170142345A1 (en) * 2008-02-28 2017-05-18 Avigilon Analytics Corporation Intelligent high resolution video system
CN101465033A (en) * 2008-05-28 2009-06-24 丁国锋 Automatic tracking recognition system and method
CN201278180Y (en) * 2008-05-28 2009-07-22 丁国锋 Automatic tracking recognition system
US20100080418A1 (en) * 2008-09-29 2010-04-01 Atsushi Ito Portable suspicious individual detection apparatus, suspicious individual detection method, and computer-readable medium
CN101655860A (en) * 2009-09-16 2010-02-24 北京中盾安全技术开发公司 Video aided analytical method for criminal investigation and case detection and system
CN101753996A (en) * 2009-12-17 2010-06-23 北京中星微电子有限公司 Management method for user rights in video monitoring system, and video monitoring system
CN102572215A (en) * 2011-12-14 2012-07-11 深圳市贝尔信智能系统有限公司 City-class visual video analysis method and server
CN102595102A (en) * 2012-03-07 2012-07-18 深圳市信义科技有限公司 Video structurally storing method
CN104320625A (en) * 2014-11-04 2015-01-28 无锡港湾网络科技有限公司 Intelligent video monitoring method and system for safe village
CN105354548A (en) * 2015-10-30 2016-02-24 武汉大学 Surveillance video pedestrian re-recognition method based on ImageNet retrieval
US20170213086A1 (en) * 2016-01-21 2017-07-27 Wizr Llc Cloud platform with multi camera synchronization
CN105828030A (en) * 2016-03-14 2016-08-03 珠海经济特区远宏科技有限公司 Video investigation mobile terminal system
US20170289504A1 (en) * 2016-03-31 2017-10-05 Ants Technology (Hk) Limited. Privacy Supporting Computer Vision Systems, Methods, Apparatuses and Associated Computer Executable Code
CN105933667A (en) * 2016-06-17 2016-09-07 首都医科大学 Video recording management system and method
CN106250846A (en) * 2016-07-29 2016-12-21 昆明理工大学 A kind of public security image method for detecting based on video monitoring
US20180101723A1 (en) * 2016-10-07 2018-04-12 Panasonic Intellectual Property Management Co., Ltd. Monitoring video analysis system and monitoring video analysis method
CN106998444A (en) * 2017-02-14 2017-08-01 北京中科天云科技有限公司 A kind of big data face monitoring system and device
CN107194006A (en) * 2017-06-19 2017-09-22 深圳警翼智能科技股份有限公司 A kind of video features structural management method
US20170364537A1 (en) * 2017-08-15 2017-12-21 Secrom LLC Image-aided data collection and retrieval
CN107944371A (en) * 2017-11-17 2018-04-20 辽宁公安司法管理干部学院 A kind of public security video monitoring image processing method based on data mining
CN108052916A (en) * 2017-12-23 2018-05-18 宁波亿拍客网络科技有限公司 It is a kind of limited to be related to privacy information and specific information analysis process system
CN108471518A (en) * 2018-03-21 2018-08-31 东莞仲天电子科技有限公司 A kind of command system applied to police service fusion
CN108965804A (en) * 2018-07-06 2018-12-07 安徽超清科技股份有限公司 A kind of video structural technology for city security protection

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张宏国: "交通综合执法信息化系统研究", 《中国优秀硕士学位论文全文数据库(电子期刊)工程科技Ⅱ辑》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717425A (en) * 2019-09-26 2020-01-21 深圳市商汤科技有限公司 Case association method and device, electronic equipment and storage medium
CN111178231A (en) * 2019-12-26 2020-05-19 航天信息股份有限公司 Object monitoring method and device
CN111178231B (en) * 2019-12-26 2023-07-18 航天信息股份有限公司 Object monitoring method and device
CN112383800A (en) * 2020-10-12 2021-02-19 特斯联科技集团有限公司 Method and device for distributing and scheduling monitoring video data and electronic equipment
CN112434580A (en) * 2020-11-13 2021-03-02 珠海大横琴科技发展有限公司 Video statistical analysis method and device
CN115396239A (en) * 2022-10-28 2022-11-25 四川安洵信息技术有限公司 Intelligent platform and application method and system thereof in assisting criminal investigation
CN115396239B (en) * 2022-10-28 2023-01-24 四川安洵信息技术有限公司 Intelligent platform and application method and system thereof in auxiliary criminal investigation

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