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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Temporal Aggregation of Video Shots in TV Sports News for Detection and Categorization of Player Scenes
verfasst von : Kazimierz Choroś
Erschienen in: Computational Collective Intelligence. Technologies and Applications
Verlag: Springer Berlin Heidelberg
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A large amount of digital video data stored in Internet video collections, TV shows archives, video-on-demand systems, personal video archives offered by Internet services, etc. leads to the development of new methods and technologies of video indexing and retrieval. Content-based indexing of TV sports news is based on the automatic segmentation, then recognition and classification of scenes reporting the sports events. The automatic identification of sports disciplines in TV sports news will be less time consuming if the analysed video material is limited to player scenes. The shots detected can be grouped in scenes using a new proposed temporal aggregation method based on the length of the shot as a sufficient alone criterion. The tests have shown its good performance in detecting player scenes in TV sports news.