CN104185032B - A kind of video frequency identifying method and system - Google Patents
A kind of video frequency identifying method and system Download PDFInfo
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- CN104185032B CN104185032B CN201410068146.XA CN201410068146A CN104185032B CN 104185032 B CN104185032 B CN 104185032B CN 201410068146 A CN201410068146 A CN 201410068146A CN 104185032 B CN104185032 B CN 104185032B
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Abstract
The invention discloses a kind of video frequency identifying method and system, this method includes：Obtain video task information；Recognition template file is generated according to the video task information, the recognition template file includes：Analyze at least one of point data, teaser or tail data, case point information and temporal information；Configuration file is generated according to the video task information；Video is identified using video identification instrument according to the recognition template file and configuration file.In the present embodiment, by obtaining video task information, recognition template file is generated according to the video task information, configuration file is generated according to the video task information, video is identified using video identification instrument according to the recognition template file and configuration file.It can quickly generate for the file needed for video identification, while the automatic identification to video is realized, improve the speed and accuracy rate of video identification.
Description
Technical field
The present invention relates to technical field of video processing, more particularly to a kind of video frequency identifying method and system.
Background technology
With the development of video network technology, people have more and more touched various videos, and people are obtaining
, it is necessary to be scanned for video when taking these videos to be watched, the search to video usually requires that video is identified.
When video is identified, it usually needs the preparation of file and environment-identification is identified before identification, identifies
The preparation of file and environment-identification is very complicated, leads to not fast and accurately video is identified.
The content of the invention
The embodiment of the present invention provides a kind of video frequency identifying method and system, is used for realization and fast and accurately video is known
Not.
A kind of video frequency identifying method, this method include：
Obtain video task information；
Recognition template file is generated according to the video task information, the recognition template file includes：Analysis point data,
At least one of teaser or tail data, case point information and temporal information；
Configuration file is generated according to the video task information；
Video is identified using video identification instrument according to the recognition template file and configuration file.
Preferably, the video task information includes at least one of program request mission bit stream and live mission bit stream.
Preferably, the configuration file includes two-level node information, general node information, title node information and subtitle section
At least one of point information.
Preferably, the two-level node information is the two-level node information of program request or live configuration file, the general knot
Point information is program request or the general node information of live configuration file.
Preferably, the volume that the analysis data are included in abscissa, ordinate, height and the width of analysis is at least one；
The teaser or tail data are included in teaser or tail path, teaser or tail duration and teaser or tail type at least
It is a kind of；
The case point information includes event type, case point abscissa, case point ordinate, height-width and picture letter
At least one of breath；
The temporal information includes initial time, end time, playing duration.
Preferably, the method further includes：
Start by set date carries out video identification.
Preferably, the video identification instrument is third party's video identification instrument.
A kind of video recognition system, the system comprises：
Task acquisition module, for obtaining video task information；
Template generation module, for generating recognition template file, the recognition template text according to the video task information
Part includes：Analyze at least one of point data, teaser or tail data, case point information and temporal information；
Configuration file generation module, for generating configuration file according to the video task information；
Video identification module, for utilizing video identification instrument to video according to the recognition template file and configuration file
It is identified.
Preferably, the configuration file includes two-level node information, general node information, title node information and subtitle section
At least one of point information.
Preferably, the system also includes：
Start by set date module：Video identification is carried out for start by set date system.
In the present embodiment, by obtaining video task information, recognition template file is generated according to the video task information,
Configuration file is generated according to the video task information, video identification work is utilized according to the recognition template file and configuration file
Video is identified in tool.It can quickly generate for the file needed for video identification, realize the automatic identification to video
While, improve the speed and accuracy rate of video identification.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Attached drawing is used for providing a further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
Apply example to be used to explain the present invention together, be not construed as limiting the invention.In the accompanying drawings：
Fig. 1 is the flow chart of video frequency identifying method of the embodiment of the present invention；
Fig. 2 is the structure chart of video recognition system of the embodiment of the present invention.
Embodiment
The preferred embodiment of the present invention is illustrated below in conjunction with attached drawing, it will be appreciated that described herein preferred real
Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
The flow chart of video frequency identifying method of the embodiment of the present invention includes as shown in Figure 1：
Step 101：Obtain video task information.
Wherein, video task information includes at least one of program request mission bit stream and live mission bit stream.Program request task
Information is the mission bit stream of broadcasting video of the reproduction time before current time；Live mission bit stream is reproduction time current
The mission bit stream of broadcasting video after time.
Step 102：Recognition template file is generated according to the video task information, the recognition template file includes：Point
Analyse at least one of point data, teaser or tail data, case point information and temporal information.
Wherein, the volume that the analysis data are included in abscissa, ordinate, height and the width of analysis is at least one；Institute
Stating teaser or tail data includes at least one of teaser or tail path, teaser or tail duration and teaser or tail type；The thing
Part point information includes at least one in event type, case point abscissa, case point ordinate, height-width and pictorial information
Kind；The temporal information includes initial time, end time, playing duration.
Step 103：Configuration file is generated according to the video task information.
Wherein, configuration file includes two-level node information, general node information, title node information and subtitle nodal information
At least one of.
Step 104：Video is identified using video identification instrument according to the recognition template file and configuration file.
Wherein, video identification instrument can carry out soon according to recognition template file and configuration file with the video that needs identify
Speed compares, for example, video identification instrument is by the teaser or tail path of identified video, teaser or tail duration and teaser or tail class
In type, initial time, end time and playing duration and the teaser or tail path in recognition template file, teaser or tail duration,
With in teaser or tail type, initial time, end time and playing duration contrasted, the title node of identified video is believed
Breath and subtitle nodal information are contrasted with the title node information in configuration file and subtitle nodal information, are filtered out identical
Information, so as to fulfill the identification to video.
Preferably, the method further includes：
Start by set date carries out video identification.
Preferably, the video identification instrument is third party's video identification instrument.
In the present embodiment, by obtaining video task information, recognition template file is generated according to the video task information,
Configuration file is generated according to the video task information, video identification work is utilized according to the recognition template file and configuration file
Video is identified in tool.It can quickly generate for the file needed for video identification, realize the automatic identification to video
While, improve the speed and accuracy rate of video identification.
A kind of video recognition system of the embodiment of the present invention, as shown in Fig. 2, the system comprises：
Task acquisition module 201, for obtaining video task information；
Template generation module 202, for generating recognition template file, the recognition template according to the video task information
File includes：Analyze at least one of point data, teaser or tail data, case point information and temporal information；
Configuration file generation module 203, for generating configuration file according to the video task information；
Video identification module 204, for utilizing video identification instrument pair according to the recognition template file and configuration file
Video is identified.
Preferably, the configuration file includes two-level node information, general node information, title node information and subtitle section
At least one of point information.
Preferably, the system also includes：
Start by set date module：Video identification is carried out for start by set date system.
It should be noted that：When the video recognition system that above-described embodiment provides states function in realization, only with above-mentioned work(
Can module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different functions
Module is completed, i.e., the internal structure of equipment is divided into different function modules, described above all or part of to complete
Function.In addition, the video recognition system that above-described embodiment provides belongs to same design with video frequency identifying method embodiment, its is specific
The process of realization refers to embodiment of the method, and which is not described herein again.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program
Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more
Usable storage medium（Including but not limited to magnetic disk storage and optical memory etc.）The shape of the computer program product of upper implementation
Formula.
The present invention be with reference to according to the method for the embodiment of the present invention, equipment（System）And the flow of computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or square frame in journey and/or square frame and flowchart and/or the block diagram.These computer programs can be provided
The processors of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices, which produces, to be used in fact
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided and is used for realization in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a square frame or multiple square frames.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and scope.In this way, if these modifications and changes of the present invention belongs to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these modification and variations.
Claims (9)
1. a kind of video frequency identifying method, it is characterised in that this method includes：
Obtain video task information；
Recognition template file is generated according to the video task information, the recognition template file includes：Teaser or tail data, thing
Part point at least one of information and temporal information；
Configuration file is generated according to the video task information；
Video is identified using video identification instrument according to the recognition template file and configuration file, wherein, it is described to match somebody with somebody
Putting file includes at least one of two-level node information, general node information；
The teaser or tail data include at least one of teaser or tail path, teaser or tail duration and teaser or tail type；
The case point information includes at least one in event type, case point abscissa, case point ordinate and pictorial information
Kind；
The temporal information includes initial time, end time, playing duration.
2. video frequency identifying method as claimed in claim 1, it is characterised in that the video task information is believed including program request task
At least one of breath and live mission bit stream.
3. video frequency identifying method as claimed in claim 1, it is characterised in that the configuration file further includes title node information
At least one of with subtitle nodal information.
4. video frequency identifying method as claimed in claim 3, it is characterised in that the two-level node information is program request or live matches somebody with somebody
The two-level node information of file is put, the general node information is program request or the general node information of live configuration file.
5. video frequency identifying method as claimed in claim 1, it is characterised in that the method further includes：
Start by set date carries out video identification.
6. video frequency identifying method as claimed in claim 1, it is characterised in that the video identification instrument is known for third party's video
Other instrument.
A kind of 7. video recognition system, it is characterised in that the system comprises：
Task acquisition module, for obtaining video task information；
Template generation module, for generating recognition template file, the recognition template file bag according to the video task information
Include：At least one of teaser or tail data, case point information and temporal information；
Configuration file generation module, for generating configuration file according to the video task information, wherein, the configuration file bag
Include at least one of two-level node information, general node information；
Video identification module, for being carried out according to the recognition template file and configuration file using video identification instrument to video
Identification；
The teaser or tail data include at least one of teaser or tail path, teaser or tail duration and teaser or tail type；
The case point information includes at least one in event type, case point abscissa, case point ordinate and pictorial information
Kind；
The temporal information includes initial time, end time, playing duration.
8. video recognition system as claimed in claim 7, it is characterised in that the configuration file further includes title node information
At least one of with subtitle nodal information.
9. video recognition system as claimed in claim 7, it is characterised in that the system also includes：
Start by set date module：Video identification is carried out for start by set date system.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410068146.XA CN104185032B (en) | 2014-02-26 | 2014-02-26 | A kind of video frequency identifying method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410068146.XA CN104185032B (en) | 2014-02-26 | 2014-02-26 | A kind of video frequency identifying method and system |
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| CN104185032A CN104185032A (en) | 2014-12-03 |
| CN104185032B true CN104185032B (en) | 2018-05-11 |
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Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106951423B (en) * | 2016-01-06 | 2021-05-07 | 阿里巴巴集团控股有限公司 | Method and device for realizing movie and television identification |
| CN108235133B (en) * | 2018-01-15 | 2021-03-02 | 北京陌上花科技有限公司 | Video identification method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN102207966A (en) * | 2011-06-01 | 2011-10-05 | 华南理工大学 | Video content quick retrieving method based on object tag |
| CN103581705A (en) * | 2012-11-07 | 2014-02-12 | 深圳新感易搜网络科技有限公司 | Method and system for recognizing video program |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080066099A1 (en) * | 2006-09-11 | 2008-03-13 | Apple Computer, Inc. | Media systems with integrated content searching |
| US20110289099A1 (en) * | 2010-05-20 | 2011-11-24 | Rovi Technologies Corporation | Method and apparatus for identifying video program material via dvs or sap data |
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2014
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN102207966A (en) * | 2011-06-01 | 2011-10-05 | 华南理工大学 | Video content quick retrieving method based on object tag |
| CN103581705A (en) * | 2012-11-07 | 2014-02-12 | 深圳新感易搜网络科技有限公司 | Method and system for recognizing video program |
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Denomination of invention: A video recognition method and system Effective date of registration: 20210104 Granted publication date: 20180511 Pledgee: Inner Mongolia Huipu Energy Co.,Ltd. Pledgor: WUXI TVMINING MEDIA SCIENCE & TECHNOLOGY Co.,Ltd. Registration number: Y2020990001517 |
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Granted publication date: 20180511 Termination date: 20210226 |