Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Multi-Modal Dialog Scene Detection Using Hidden Markov Models for Content-Based Multimedia Indexing
Multimedia Tools and Applications
A unified framework for semantic shot classification in sports videos
Proceedings of the tenth ACM international conference on Multimedia
Statistical Analysis of Musical Instruments
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Content-based video indexing of TV broadcast news using hidden Markov models
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
A probabilistic framework for semantic video indexing, filtering,and retrieval
IEEE Transactions on Multimedia
Rapid estimation of camera motion from compressed video with application to video annotation
IEEE Transactions on Circuits and Systems for Video Technology
A mid-level representation framework for semantic sports video analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Personalized retrieval of sports video
Proceedings of the international workshop on Workshop on multimedia information retrieval
Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
Audio keywords generation for sports video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Feature space and metric measures for fusing multisensor images
International Journal of Remote Sensing
Multimedia Tools and Applications
Time warp sports for internet television
ACM Transactions on Computer-Human Interaction (TOCHI)
Audiovisual integration for racquet sports video retrieval
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Summarizing sporting events using twitter
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
A Generic Approach for Systematic Analysis of Sports Videos
ACM Transactions on Intelligent Systems and Technology (TIST)
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In this paper, we propose an effective fusion scheme of visual and auditory modalities to detect events in sports video. The proposed scheme is built upon semantic shot classification, where we classify video shots into several major or interesting classes, each of which has clear semantic meanings. Among major shot classes we perform classification of the different auditory signal segments (i.e. silence, hitting ball, applause, commentator speech) with the goal of detecting events with strong semantic meaning. For instance, for tennis video, we have identified five interesting events: serve, reserve, ace, return, and score. Since we have developed a unified framework for semantic shot classification in sports videos and a set of audio mid-level representation with supervised learning methods, the proposed fusion scheme can be easily adapted to a new sports game. We are extending this fusion scheme to three additional typical sports videos: basketball, volleyball and soccer. Correctly detected sports video events will greatly facilitate further structural and temporal analysis, such as sports video skimming, table of content, etc.