Rule-based video classification system for basketball video indexing
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Recognizing planned multiperson action
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Semantic Indexing of Multimedia Documents
IEEE MultiMedia
Where Are the Ball and Players? Soccer Game Analysis with Color Based Tracking and Image Mosaick
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Audiovisual integration for tennis broadcast structuring
Multimedia Tools and Applications
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
An Automated Refereeing and Analysis Tool for the Four-Legged League
RoboCup 2006: Robot Soccer World Cup X
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In this paper, we present an automatic system that is able to forecast the appearance of a soccer highlight, and annotate it, based on MPEG features; processing is performed in strict real time. A probabilistic framework based on Bayes networks is used to detect the most significant soccer highlights. Predictions are validated by different Bayes networks, to check the outcome of forecasts.