A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Semantic Annotation of Sports Videos
IEEE MultiMedia
Sports video summarization using highlights and play-breaks
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Audiovisual integration for tennis broadcast structuring
Multimedia Tools and Applications
Automatic sports video analysis using audio clues and context knowledge
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Detection of slow-motion replay segments in sports video for highlights generation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Advertising Insertion in Sports Webcasts
IEEE MultiMedia
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
Personalized abstraction of broadcasted American football video by highlight selection
IEEE Transactions on Multimedia
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Semantic adaptation of sport videos with user-centred performance analysis
IEEE Transactions on Multimedia
Semantic analysis of soccer video using dynamic Bayesian network
IEEE Transactions on Multimedia
Generation of Personalized Music Sports Video Using Multimodal Cues
IEEE Transactions on Multimedia
Human Behavior Analysis for Highlight Ranking in Broadcast Racket Sports Video
IEEE Transactions on Multimedia
An Intelligent Subtitle Detection Model for Locating Television Commercials
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An enhanced video summarization system using audio features for a personal video recorder
IEEE Transactions on Consumer Electronics
Detection of music segment boundaries using audio-visual features for a personal video recorder
IEEE Transactions on Consumer Electronics
Video2Cartoon: A System for Converting Broadcast Soccer Video into 3D Cartoon Animation
IEEE Transactions on Consumer Electronics
Enhanced Sports Video Shot Boundary Detection Based on Middle Level Features and a Unified Model
IEEE Transactions on Consumer Electronics
IEEE Transactions on Circuits and Systems for Video Technology
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
Extracting tennis statistics from wireless sensing environments
Proceedings of the Sixth International Workshop on Data Management for Sensor Networks
Multimedia Tools and Applications
Expert Systems with Applications: An International Journal
Video structure analysis for content-based indexing and categorisation of TV sports news
International Journal of Intelligent Information and Database Systems
Detection of tennis court lines for sport video categorization
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Hi-index | 12.05 |
Professional sport is a vital part of many peoples' lives and sport is a multi billion industry in its own right. Professional coaches, sporting professionals and sports journalists often use video recordings of sporting events as a tool in their daily work. With the rapid growth of sport video recordings, there is an emerging demand for a sophisticated sports content-based video indexing systems. Video recordings of sporting event broadcasts often last several hours including commercial breaks. It is therefore time-consuming and difficult to locate key segments containing highlights. This study proposes the use of computational intelligence strategies and information from both the audio and video domains to automatically locate sporting highlight on personal video playback devices. Tennis is chosen as the target domain but the strategy should generalize to other sports as well. Experimental results show that both the mean precision and recall rates are higher than 89%, hence, the proposed approach is capable of effectively detecting tennis highlights in sports broadcasts.