Feature extraction and content analysis for sports videos annotation
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Semantic Annotation of Sports Videos
IEEE MultiMedia
Semantic Characterization of Visual Content for Sports Videos Annotation
MDIC '01 Proceedings of the Second International Workshop on Multimedia Databases and Image Communication
Semantic Annotation and Indexing of News and Sports Videos
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Automatic interpretation of soccer video for highlights extraction and annotation
Proceedings of the 2003 ACM symposium on Applied computing
Model checking for detection of sport highlights
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Content-based scene detection and analysis method for automatic classification of TV sports news
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Video structure analysis for content-based indexing and categorisation of TV sports news
International Journal of Intelligent Information and Database Systems
Theme word subspace method for text document categorization
DM-IKM '12 Proceedings of the Data Mining and Intelligent Knowledge Management Workshop
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This paper proposes a method to classify automatically TV sports news articles using image processing and classification techniques. The classification algorithm of TV sports news articles is based on a multiple subspace method that provides a sports category with more than one subspaces corresponding to the typical scenes. The classification is performed without recognizing any objects in an image. DCT components are used as the classification features of the whole image. The classification is performed at first on the scene cut frames and then they are integrated into the article classification.