Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Classification of TV Sports News by DCT Features Using Multiple Subspace Method
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Scene-based event detection for baseball videos
Journal of Visual Communication and Image Representation
Movie scene segmentation using background information
Pattern Recognition
Video summarisation: A conceptual framework and survey of the state of the art
Journal of Visual Communication and Image Representation
Audiovisual integration with Segment Models for tennis video parsing
Computer Vision and Image Understanding
Taxonomy of nominal type histogram distance measures
MATH'08 Proceedings of the American Conference on Applied Mathematics
Effectiveness of Video Segmentation Techniques for Different Categories of Videos
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Tiny Videos: A Large Dataset for Image and Video Frame Categorization
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
Real-time view recognition and event detection for sports video
Journal of Visual Communication and Image Representation
Automatic annotation of sport video content
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Transactions on computational collective intelligence V
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
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A large amount of digital video data is stored in local or network visual retrieval systems. The new technology advances in multimedia information processing as well as in network transmission have made video data publicly and relatively easy available. Users need the adequate tools to locate their desired video or video segments quickly and efficiently, for example in Internet video collections, TV shows archives, video-on-demand systems, personal video archives offered by many public Internet services, etc. Detection of scenes in TV videos is difficult because the diversity of effects used in video editing puts up a barrier to construct an appropriate model. The framework of automatic recognition and classification of scenes reporting the sport events in a given discipline in TV sports news have been proposed. Experimental results show good performance of the proposed scheme on detecting scenes on a given sport discipline in TV sports news. In the tests a special software called AVI - the Automatic Video Indexer has been used to detect shots and then scenes in tested TV news videos.