CN108052581A - A kind of case video studies and judges device - Google Patents
A kind of case video studies and judges device Download PDFInfo
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- CN108052581A CN108052581A CN201711299270.7A CN201711299270A CN108052581A CN 108052581 A CN108052581 A CN 108052581A CN 201711299270 A CN201711299270 A CN 201711299270A CN 108052581 A CN108052581 A CN 108052581A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/7867—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Library & Information Science (AREA)
- Multimedia (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of case videos to study and judge device, it with lower module mainly by being formed:Case search condition generation module, for adding and editing case search condition;Setup module is integrated, integration is set for the Parameter Conditions information of part or all of retrieval elements in case search condition;Case retrieves module, by search condition and integration accounting retrieval case;Target case investigates module, display is ranked up to the case retrieved according to case similarity, is conducive to filter the unglazed case information of magnanimity, important goal case information is fed directly to searcher, convenient search person checks acquisition important information, improves case recall precision.The present invention can integrate the filtering unrelated case information of magnanimity by setting, and important goal case information is directly fed back to user, user is facilitated to check acquisition important information, accurately retrieves corresponding case and video.
Description
Technical field
The present invention relates to case video analysis field, especially a kind of case video studies and judges device.
Background technology
Internet of Things and Video Supervision Technique obtain extensively should in the various informations construction such as smart city, safe city
With.Public security department is had become as important evidence and clue source carrying out case and detect monitor video during Check, in a large amount of cases and
In video data, it is not an easy thing to comb valuable hint information.In real case and video frequency searching process
In, due to technological means and business models etc., following problem is faced in case and video investigation application at present:
The tasks such as case and video data are not utilized very well, people, vehicle, the identification of object target search, and video analysis is studied and judged, by people
Work carries out, and can not effectively handle massive video data;
Case and video have access to slow, analysis hardly possible, it is difficult to find important and valuable clue from magnanimity case and video data
Information.
The content of the invention
The purpose of the present invention is overcoming the deficiencies in the prior art, a kind of case video is provided and studies and judges device, is grasped
Facilitate, improve the efficiency that case and video are studied and judged, fuse information, wide adaptation range studies and judges that the result is intuitive, safely may be used
It leans on.
The present invention solve above-mentioned technical problem technical solution be:A kind of case video studies and judges device, it is mainly by following
Module forms:
Case search condition generation module, for adding and editing case search condition;
Setup module is integrated, integration is set for the Parameter Conditions information of part or all of retrieval elements in case search condition;
Case retrieves module, by search condition and integration accounting retrieval case;
Target case investigates module, and display is ranked up to the case retrieved according to case similarity, is conducive to filter magnanimity
Important goal case information is fed directly to searcher by unglazed case information, and convenient search person checks acquisition important information, carries
High case recall precision.
Preferably, the case search condition includes case primary condition, base station data, target person or target carriage.It needs
The retrieval elements of integration is set to include case target person, target carriage or include the two simultaneously.
Preferably, it is a fixed value that the integration, which includes the sum of high, medium and low three gear, the high, medium and low three gears integration,.
Preferably, the high gear integration is 6, and middle gear integration is 1, and low gear integration is 1, and the sum of high, medium and low three gears integration is
10。
Preferably, conditional combination integration be the individual event of high, medium and low three gear integrations, the arbitrary possibility of two or three
Combination, integration after combination is 1~10.
Preferably, the similarity is case combined integral/10 point * 100%.
Preferably, when step S5 is ranked up display to case, display is ranked up by the height of fraction.
Preferably, when step S5 is ranked up display to case, in the case where integration is identical, according to qualified more
It is ranked up less.
The invention has the advantages that the filtering unrelated case information of magnanimity can be integrated by setting, by important goal case
Part information is directly fed back to user, and user is facilitated to check acquisition important information, accurately retrieves corresponding case video.
Description of the drawings
The composition structure diagram of Fig. 1 present invention;
Fig. 2 process charts of the present invention.
Specific embodiment
With reference to drawings and examples of the present invention, the technical solution in the embodiment of the present invention is carried out clearly and completely
Description, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained without making creative work
Example, belongs to the scope of protection of the invention.
The present invention is illustrated with reference to Figure of description 1.
As shown in Figure 1:A kind of case video studies and judges device, it with lower module mainly by being formed:
Case search condition generation module, for adding and editing case search condition.It is basic that case search condition includes case
The structured message of condition, base station data, target person, target carriage, wherein target person or target carriage is as case search condition
Integration setting can be carried out to these conditions simultaneously.
Setup module is integrated, product is set for the Parameter Conditions information of part or all of retrieval elements in case search condition
Point.Integrate it is high, medium and low represent a fraction respectively, can voluntarily be configured by from the background.Such as:It is high:6 points, in:3 points, it is low:1
Point.
Case retrieves module, by search condition and integration accounting retrieval case.Integration obtained by case number be according to inspection
The sum of set integration in rope adding conditional.Total mark is 10 points, and similarity is shared/10 point * 100% of the integration of case.
Target case investigates module, is ranked up display to the case retrieved according to case similarity, is conducive to filter
Important goal case information is fed directly to searcher by case information that magnanimity is unglazed, and convenient search person, which checks, obtains important letter
Breath improves case recall precision.Case acquiescence is ranked up by the height of fraction, identical situation is integrated, according to meeting item
The number of part is ranked up.
Fig. 2 is the process chart of the present invention, and processing step is as follows:
S1, addition case search condition.Case search condition includes case primary condition, base station data, target person, target carriage,
While wherein the structured message of target person or target carriage is as case search condition integration setting can be carried out to these conditions;
S2, integration is set for the Parameter Conditions information in case retrieval elements target person or target carriage.Integrate high, medium and low point
A fraction is not represented, can voluntarily be configured by from the background.Such as:It is high:6 points, in:3 points, it is low:1 point;
S3, conditional combination integration accounting.Integration obtained by case number be according to the sum of set integration in retrieval adding conditional.Always
It integrates as 10 points, similarity is shared/10 point * 100% of the integration of case;
S4, the case for meeting relevant parameter conditional information is retrieved;
S5, case acquiescence are ranked up by the height of fraction, integrate identical situation, how much are arranged according to qualified
Sequence.
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent variations made according to the claims of the present invention, it is still within the scope of the present invention.
Claims (10)
1. a kind of case video studies and judges device, it is characterized in that, it with lower module mainly by being formed:
Search condition generation module, for adding and editing case search condition;
Setup module is integrated, integration is set for the Parameter Conditions information of part or all of retrieval elements in case search condition;
Case retrieves module, by search condition and integration accounting retrieval case;
Target case output module is ranked up display according to case similarity to the case retrieved.
2. a kind of case video as described in claim 1 studies and judges device, it is characterized in that, the case search condition includes case
Primary condition, base station data, target person or target carriage.
3. a kind of case video as claimed in claim 2 studies and judges device, it is characterized in that, it is necessary to setting the retrieval elements bag of integration
It includes case target person, target carriage or includes the two simultaneously.
4. a kind of case video as described in claim 1 studies and judges device, it is characterized in that, the integration includes high, medium and low three
Gear.
5. a kind of case video as claimed in claim 4 studies and judges device, it is characterized in that, the sum of described high, medium and low three gears integration
For a fixed value.
6. a kind of case video as claimed in claim 4 studies and judges device, it is characterized in that, the high gear integration is 6, middle gear integration
For 1, low gear integration is 1, and the sum of high, medium and low three gears integration is 10.
7. a kind of case video as claimed in claim 6 studies and judges device, it is characterized in that, the conditional combination integration for it is high, in,
Individual event, the arbitrary possible combination of two or three of low three gears integration, the integration after combination are 1~10.
8. a kind of case video as claimed in claim 6 studies and judges device, it is characterized in that, the similarity is case combinatorial product
Divide/10 points of x 100%.
9. a kind of case video as described in claim 1 studies and judges device, it is characterized in that, when being ranked up display to case, press
The height of fraction is ranked up display.
10. a kind of case video as described in claim 1 studies and judges device, it is characterized in that, when being ranked up display to case,
Integrate it is identical in the case of, how many be ranked up according to qualified.
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CN201711299270.7A CN108052581A (en) | 2017-12-08 | 2017-12-08 | A kind of case video studies and judges device |
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Citations (9)
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CN101246492A (en) * | 2008-02-26 | 2008-08-20 | 华中科技大学 | Full text retrieval system based on natural language |
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 |
CN101719167A (en) * | 2010-01-15 | 2010-06-02 | 北京暴风网际科技有限公司 | Interactive movie searching method |
CN101840422A (en) * | 2010-04-09 | 2010-09-22 | 江苏东大金智建筑智能化系统工程有限公司 | Intelligent video retrieval system and method based on target characteristic and alarm behavior |
US20130254187A1 (en) * | 2012-03-23 | 2013-09-26 | Fujifilm Corporation | Device, method, and non-transitory computer-readable medium for searching database |
CN104199834A (en) * | 2014-08-04 | 2014-12-10 | 徐�明 | Method and system for interactively obtaining and outputting remote resources on surface of information carrier |
CN105871872A (en) * | 2016-04-28 | 2016-08-17 | 珠海经济特区远宏科技有限公司 | Movable video investigation method |
CN105893597A (en) * | 2016-04-20 | 2016-08-24 | 上海家好科技有限公司 | Similar medical record retrieval method and system |
CN106055653A (en) * | 2016-06-01 | 2016-10-26 | 深圳市唯特视科技有限公司 | Video synopsis object retrieval method based on image semantic annotation |
-
2017
- 2017-12-08 CN CN201711299270.7A patent/CN108052581A/en not_active Withdrawn
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101246492A (en) * | 2008-02-26 | 2008-08-20 | 华中科技大学 | Full text retrieval system based on natural language |
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 |
CN101719167A (en) * | 2010-01-15 | 2010-06-02 | 北京暴风网际科技有限公司 | Interactive movie searching method |
CN101840422A (en) * | 2010-04-09 | 2010-09-22 | 江苏东大金智建筑智能化系统工程有限公司 | Intelligent video retrieval system and method based on target characteristic and alarm behavior |
US20130254187A1 (en) * | 2012-03-23 | 2013-09-26 | Fujifilm Corporation | Device, method, and non-transitory computer-readable medium for searching database |
CN104199834A (en) * | 2014-08-04 | 2014-12-10 | 徐�明 | Method and system for interactively obtaining and outputting remote resources on surface of information carrier |
CN105893597A (en) * | 2016-04-20 | 2016-08-24 | 上海家好科技有限公司 | Similar medical record retrieval method and system |
CN105871872A (en) * | 2016-04-28 | 2016-08-17 | 珠海经济特区远宏科技有限公司 | Movable video investigation method |
CN106055653A (en) * | 2016-06-01 | 2016-10-26 | 深圳市唯特视科技有限公司 | Video synopsis object retrieval method based on image semantic annotation |
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