CN110188241A - A kind of race intelligence manufacturing system and production method - Google Patents

A kind of race intelligence manufacturing system and production method Download PDF

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CN110188241A
CN110188241A CN201910483236.8A CN201910483236A CN110188241A CN 110188241 A CN110188241 A CN 110188241A CN 201910483236 A CN201910483236 A CN 201910483236A CN 110188241 A CN110188241 A CN 110188241A
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tag
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CN110188241B (en
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谢超平
杜俊
罗宏智
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Chengdu Sobey Digital Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7837Retrieval 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
    • G06F16/784Retrieval 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 the detected or recognised objects being people
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867Retrieval 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G06V20/42Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
    • 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
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4662Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/475End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4756End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention discloses a kind of race intelligence manufacturing system and production methods, are related to competitive sports manufacture technology field, and the present invention includes the data aggregation module for converging the race data by race metadata provider and internet offer;Intelligent analysis module is extracted based on constructed knowledge mapping using event tag of the intelligent algorithm to race data, for statistical analysis based on event tag and knowledge mapping, generates feature tag;Select the result that editor module shows statistical analysis in race tools, event segments are presented in merogenesis of classifying, editorial staff selects the corresponding time slice of event segments according to the result and feature tag of statistical analysis, and the time slice is dragged on timeline and completes race editor, the present invention utilizes Multi Intelligent Techniques, race data are identified, refined and analyzed, generate match process-time line and feature tag, it allows editorial staff to understand race process rapidly, greatly promotes the efficiency of program making.

Description

A kind of race intelligence manufacturing system and production method
Technical field
The present invention relates to competitive sports manufacture technology fields, more particularly to a kind of race intelligence manufacturing system and system Make method.
Background technique
Currently, race video is a kind of very high video type of attention rate, possess the viewing group of substantial amounts, it is related Product also has good application prospect, such as competitive sports, and high-timeliness is the soul of sports news, how to be quickly found out and thinks The camera lens long-standing problem wanted program making, traditional race program making, which relies primarily on, to be accomplished manually, such as:
1, editing race program generally includes following steps: coming to matches, conceives story, finds wonderful, essence The color online editor of segment;
2, picture description and record are carried out for the picture at scene using artificial script holder, common script holder is singly usually to record Each completes the information of camera lens or segment, content include mirror number, scape not, clapped content, time-code etc.;
However, both above traditional race program making has the following problems:
1, by first method editing race program, match overview cannot be quickly understood, it is difficult to rapid positioning accurate Color segment, and require a great deal of time in the work for coming to matches and finding this kind of acquisition of information of wonderful, it makes Inefficiency;
2, program making is assisted using artificial script holder, although having certain side to the efficiency for promoting race program making It helps, but the content of artificial script holder is limited, also not high with the conjugation of edit tool, editorial staff is difficult from script holder's content intuitively Understand match overview;
And since existing race production method is inefficient, some dimensions can be usually given up due to it is pressed for time The race collection of choice specimens of degree is shown, it is difficult to show the match overview of team, sportsman multi-facetedly.
Summary of the invention
It is an object of the invention to: it is inefficient in order to solve existing race production method, need labor intensive a large amount of The problem of time, the present invention provide a kind of race intelligence manufacturing system and production method, based on structures such as race rule, live streaming rules Knowledge mapping is built, comprehensive utilization intellectual technology carries out intellectual analysis to race video data and extracts event tag, further positions With flag event key frame, comparison race into journey timeline carries out analysis and shows, then carries out selecting and editing for event segments, completes Race intelligently makes.
The present invention specifically uses following technical scheme to achieve the goals above:
A kind of race intelligence manufacturing system, including data aggregation module, intelligent analysis module and select editor module:
Data aggregation module: for converging the race data by race metadata provider and internet offer;
Intelligent analysis module: building knowledge mapping, based on constructed knowledge mapping using intelligent algorithm to race data Event tag extract, and based on event tag and knowledge mapping it is for statistical analysis, generate feature tag;
Select editor module: in race tools show statistical analysis as a result, classification merogenesis present event segments, Editorial staff selects the corresponding time slice of event segments according to the result and feature tag of statistical analysis, and by the time Segment, which is dragged on timeline, completes race editor.
Further, the race data that race metadata provider provides are usually the data of structuring, therefore can be direct It is used for intelligent analysis module, but the race data that internet provides are usually non-structured, therefore the data converge mould Block, which needs to converge rule according to preset data using NLP technology, carries out structuring processing to the race data that internet provides, Event tag is extracted convenient for intelligent analysis module.
Further, knowledge mapping constructed by the intelligent analysis module includes but is not limited to that race is regular, race is straight Broadcast rule, information for the game, player information and competing teams information.
Further, the intelligent algorithm that the intelligent analysis module is utilized includes but is not limited to OCR identification technology, timing Activity recognition technology, transition identification technology, LOGO identification technology and face recognition technology.
Further, the intelligent analysis module includes training data module, the training number in the training data module According to including but not limited to race video and game event data, intelligent analysis module optimizes using training data and is promoted event mark Sign the accuracy rate extracted.
Further, the intelligent analysis module is based on event tag and knowledge mapping is for statistical analysis, including but not It is limited to event distribution analysis, the bifurcated trend line analysis of event trend and the single-unit score K chart analysis of classification merogenesis.
Further, the intelligent analysis module is that each event carries out the excellent degree marking of vision, is knowledge based figure Spectrum and the excellent degree code of points of the prepared event vision of race common sense.
A kind of race intelligence production method, includes the following steps:
S1, race data are obtained:
Data aggregation module obtains race data from race metadata provider and internet;
S2, event tag is extracted, generates match process-time line:
Intelligent analysis module extracts event and event attribute data markers match process-time line in race data, obtains Event tag;
S3, event tag analysis, generate feature tag:
Intelligent analysis module is based on event tag and knowledge mapping is for statistical analysis, generates feature tag;
S4, editor is selected:
Statistic analysis result shows that in race tools, editorial staff utilizes and selects editor module according to statistical analysis As a result and feature tag selects event segments, and time slice corresponding to event segments is dragged on timeline and completes race volume Volume.
Further, race data acquired in the S1 include race video data and race event data.
Further, the S2 specifically comprises the following steps:
S2.1: the event and event attribute data markers match process in race metadata provider race data protocol are extracted Timeline obtains event tag;
S2.2: carrying out video and audio analysis to race video data, extracts event and event attribute data markers match process Timeline obtains event tag.
Further, the S2.2 specifically:
S2.2.1: going unless race picture;
S2.2.2: transition identification technology cutting full length shot segment is utilized;
S2.2.3: it is carried out under more people's scenes using face recognition technology, OCR identification technology, timing Activity recognition technology etc. Activity recognition and locating events key frame section.
Further, feature tag is generated in the S3 includes but is not limited to the following contents:
A, statistics obtains team's many index trend graph;
B, statistics obtains sportsman's index trend graph;
C, statistics obtains distribution situation of the different types of event in match process;
D, statistics obtains the bifurcated Trendline of event trend;
E, show the trend of match by the way of K line chart.
Beneficial effects of the present invention are as follows:
1, the present invention utilizes Multi Intelligent Techniques, can be identified, refined and be analyzed to race data, and match process is generated Timeline and match feature tag, and multi-faceted data analysis result is provided and is shown, editorial staff can be allowed from more than 100 minutes Match video in liberate, understand race process rapidly, more energy be put into more professional story design, program making On, greatly promote the efficiency of program making.
2, intellectual analysis result is directly presented in edit tool by the present invention, can directly be selected segment and be pulled online volume Volume, the linkage of intellectual analysis result and edit tool is strengthened, and there is very strong flexibility, editorial staff can be customized It shows content and mode, enriches the resource of program making, allow editorial staff can be with the collection of choice specimens content of the multiple dimensions of quick Fabrication.
3, it joined the excellent code of points of event vision in the present invention, it can be automatically higher for editorial staff's recommendation score Excellent event segments complete the production of the race event collection of choice specimens, for editorial staff convenient for the release quickly of internet news.
Detailed description of the invention
Fig. 1 is race intelligence manufacturing system structural schematic diagram of the invention.
Fig. 2 is race intelligence production method flow diagram of the invention.
Fig. 3 is the exemplary diagram that the present invention generates event tag.
Fig. 4 is the exemplary diagram that the present invention selects edit step.
Specific embodiment
In order to which those skilled in the art better understand the present invention, with reference to the accompanying drawing with following embodiment to the present invention It is described in further detail.
Embodiment 1
As shown in Figure 1, the present embodiment provides a kind of race intelligence manufacturing system, including data aggregation module, intellectual analysis Module and select editor module:
Data aggregation module: for converging the race data by race metadata provider and internet offer;
Intelligent analysis module: building knowledge mapping, based on constructed knowledge mapping using intelligent algorithm to race data Event tag extract, and based on event tag and knowledge mapping it is for statistical analysis, generate feature tag;
Select editor module: in race tools show statistical analysis as a result, classification merogenesis present event segments, Editorial staff selects the corresponding time slice of event segments according to the result and feature tag of statistical analysis, and by the time Segment, which is dragged on timeline, completes race editor.
It, can be directly for intelligence since the race data that race metadata provider provides are usually the data of structuring Analysis module uses, but the race data that internet provides are usually non-structured, therefore the data aggregation module needs Rule is converged according to preset data using NLP technology, structuring processing is carried out to the race data that internet provides, be convenient for intelligence Can analysis module extract event tag, the data convergence rule in the present embodiment to be analyzed using NLP, by behavior act, main body, The contents such as object and zebra time, fixture, attack countdown, score extract, and game event knot is recorded in conversion In structure volume data.
Knowledge mapping constructed by the intelligent analysis module includes but is not limited to race rule, live game coverage rule, ratio Menaphtame breath, player information and competing teams information;Intelligent algorithm includes but is not limited to OCR identification technology, timing Activity recognition Technology, transition identification technology, LOGO identification technology and face recognition technology.
And the intelligent analysis module includes training data module, and the training data in training data module includes but not It is limited to race video and race event data, intelligent analysis module optimizes and promoted the standard that event tag extracts using training data True rate.
The intelligent analysis module is based on event tag and knowledge mapping is for statistical analysis, including but not limited to classification point Event distribution analysis, the bifurcated trend line analysis of event trend and the single-unit score K chart analysis of section, select volume convenient for showing It collects the page to check and use, editorial staff is facilitated to grasp game event point and match trend and the rapidly progress of design story rapidly Editor.
As shown in Fig. 2, the present embodiment also provides a kind of race intelligence production method, include the following steps:
S1, race data are obtained:
Data aggregation module obtains race data from race metadata provider and internet, and the race data include match Thing video data and race event data;
S2, as shown in figure 3, extract event tag, generate match process-time line:
Intelligent analysis module extracts event and event attribute data markers match process-time line in race data, obtains Event tag, specifically:
S2.1: the event and event attribute data markers match process in race metadata provider race data protocol are extracted Timeline obtains event tag, and the present embodiment then includes shooting, dunk shot, criminal in the data protocol by taking basketball race as an example All kinds of events and the event attributes such as rule, pause;
S2.2: carrying out video and audio analysis to race video data, extracts event and event attribute data markers match process Timeline obtains event tag, and what is extracted in this step is sportsman's movement, picture and text Packaging formwork event in video, wherein picture and text Packaging formwork event includes score, event, substitution etc.;The S2.2 specifically:
S2.2.1: going unless race picture, such as advertisement, cheering squad, pause, excellent playback, specifically:
A, the Packaging formwork of match video is extracted;
B, the different elemental areas of host team, visiting team, score, time etc. are extracted;
C, element is divided to pre-process image;
D, according to non-race pictures of identification such as race rule, live streaming rules;
S2.2.2: transition identification technology cutting full length shot segment is utilized;
S2.2.3: it is carried out under more people's scenes using face recognition technology, OCR identification technology, timing Activity recognition technology etc. Activity recognition and locating events key frame section, such as shoot, lay up, dunk shot, nut cap, grabbing behavior;
S3, event tag analysis, generate feature tag:
Intelligent analysis module is based on event tag and knowledge mapping is for statistical analysis, generates feature tag;In the S3 Generating feature tag includes but is not limited to the following contents:
A, statistics obtains team's many index trend graph, such as score, hit rate;
B, statistics obtains sportsman's index trend graph, such as score, hit rate;
C, statistics obtain different types of event in match process point about situation;
D, statistics obtains the bifurcated Trendline of event trend;
E, show the trend of match by the way of K line chart;
As shown in figure 4, wherein horizontal axis is time shaft, the longitudinal axis to show the statistic analysis result in race tools For event type, dotted line represents the time interval of match trifle, and histogram represents the K line chart of host and guest team advantage variation, curve generation Table match Trendline, dot represent horizontally and vertically corresponding event segments;Editorial staff can customize statistic analysis result Dimension and content, than such as whether display Trendline, the longitudinal axis whether show penalty shot hit, bury a shot, breaking the rules, it is excellent play back, The dimensions such as XX sportsman's field goalds;
S4, editor is selected:
As shown in figure 4, statistic analysis result is shown in race tools, editorial staff utilizes and selects editor module root It analyzes result according to statistics and feature tag selects event segments, time slice corresponding to event segments is dragged on timeline Race editor is completed, and the present embodiment, when selecting editor, editorial staff can customize setting analysis dimension, readily available symbol Close desired event segments.
The above, only presently preferred embodiments of the present invention, are not intended to limit the invention, patent protection model of the invention It encloses and is subject to claims, it is all to change with equivalent structure made by specification and accompanying drawing content of the invention, similarly It should be included within the scope of the present invention.

Claims (10)

1. a kind of race intelligence manufacturing system, which is characterized in that including data aggregation module, intelligent analysis module and select editor Module:
Data aggregation module: for converging the race data by race metadata provider and internet offer;
Intelligent analysis module: building knowledge mapping, based on constructed knowledge mapping using intelligent algorithm to the thing of race data Part label extracts, and for statistical analysis based on event tag and knowledge mapping, generates feature tag;
It selects editor module: being shown in race tools statisticalling analyze as a result, event segments, editor is presented in classification merogenesis Personnel select the corresponding time slice of event segments according to the result and feature tag of statistical analysis, and by the time slice It is dragged on timeline and completes race editor.
2. a kind of race intelligence manufacturing system according to claim 1, which is characterized in that the data aggregation module utilizes NLP technology carries out structuring processing to the race data that internet provides according to preset data convergence rule, convenient for intelligence point It analyses module and extracts event tag.
3. a kind of race intelligence manufacturing system according to claim 1, which is characterized in that intelligent analysis module institute structure The knowledge mapping built includes but is not limited to race rule, live game coverage rule, information for the game, player information and competing teams letter Breath.
4. a kind of race intelligence manufacturing system according to claim 1, which is characterized in that intelligent analysis module institute benefit Intelligent algorithm includes but is not limited to OCR identification technology, timing Activity recognition technology, transition identification technology, LOGO identification skill Art and face recognition technology.
5. a kind of race intelligence manufacturing system according to claim 1, which is characterized in that the intelligent analysis module includes Training data module, the training data in the training data module include but is not limited to race video and game event data, Intelligent analysis module optimizes and is promoted the accuracy rate that event tag extracts using training data.
6. a kind of race intelligence manufacturing system according to claim 1, which is characterized in that the intelligent analysis module is based on Event tag and knowledge mapping are for statistical analysis, including but not limited to the event distribution analysis of classification merogenesis, event trend Bifurcated trend line analysis and single-unit score K chart analysis.
7. a kind of race intelligence production method, which comprises the steps of:
S1, race data are obtained:
Data aggregation module obtains race data from race metadata provider and internet;
S2, event tag is extracted, generates match process-time line:
Intelligent analysis module extracts event and event attribute data markers match process-time line in race data, obtains event Label;
S3, event tag analysis, generate feature tag:
Intelligent analysis module is based on event tag and knowledge mapping is for statistical analysis, generates feature tag;
S4, editor is selected:
Statistic analysis result shows that in race tools, editorial staff utilizes and selects editor module according to statistic analysis result And feature tag selects event segments, and time slice corresponding to event segments is dragged on timeline and completes race editor.
8. a kind of race intelligence production method according to claim 7, which is characterized in that acquired race in the S1 Data include race video data and race event data.
9. a kind of race intelligence production method according to claim 8, which is characterized in that the S2 specifically includes following step It is rapid:
S2.1: the event and event attribute data markers match process-time in race metadata provider race data protocol are extracted Line obtains event tag;
S2.2: carrying out video and audio analysis to race video data, extracts event and event attribute data markers match process-time Line obtains event tag, specifically:
S2.2.1: going unless race picture;
S2.2.2: transition identification technology cutting full length shot segment is utilized;
S2.2.3: the row under more people's scenes is carried out using face recognition technology, OCR identification technology, timing Activity recognition technology etc. For identification and locating events key frame section.
10. a kind of race intelligence production method according to claim 7, which is characterized in that generate feature mark in the S3 Label include but is not limited to the following contents:
A, statistics obtains team's many index trend graph;
B, statistics obtains sportsman's index trend graph;
C, statistics obtains distribution situation of the different types of event in match process;
D, statistics obtains the bifurcated Trendline of event trend;
E, show the trend of match by the way of K line chart.
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CN111177396A (en) * 2019-11-13 2020-05-19 浙江广播电视集团 Automatic analysis and visualization method for basketball event shooting event by combining knowledge map
CN111770359A (en) * 2020-06-03 2020-10-13 苏宁云计算有限公司 Event video clipping method, system and computer readable storage medium
CN112291574A (en) * 2020-09-17 2021-01-29 上海东方传媒技术有限公司 Large-scale sports event content management system based on artificial intelligence technology
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