NDLI: Hierarchical decision making scheme for sports video categorisation with temporal post-processing

Content Provider	IEEE Xplore Digital Library
Author	Jaser, E. Kittler, J. Christmas, W.
Copyright Year	2004
Description	Author affiliation: Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK (Jaser, E.; Kittler, J.; Christmas, W.)
Abstract	The problem of automatic sports video classification is considered. We develop a multistage decision making system that is founded on the concept of cues, i.e. pieces of visual evidence, characteristic of certain categories of sports that are extracted from key frames. The main decision making mechanism is a decision tree which generate hypotheses concerning the semantics of the sports video content. The final stage of the decision making process is a hidden Markov model system which bridges the gap between the semantic content categorisation defined by the user and the actual visual content categories. The latter is often ambiguous, as the same visual content may be attributed to different sport categories, depending on the context. We demonstrate experimentally that the contextual post-processing of the decision tree outputs by HMMs significantly improves the performance of the sports video classification system.
Sponsorship	IEEE Comput. Soc
File Size	345986
File Format	PDF
ISBN	0769521584
ISSN	10636919
DOI	10.1109/CVPR.2004.1315262
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision making Cameras Decision trees Hidden Markov models Broadcasting Speech processing Video signal processing Bridges Classification tree analysis Usability
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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