Extraction and classification of self-consumable sport video highlights using generic HMM
Tjondronegoro, Dian, Chen, Yi-Ping Phoebe and Pham, Binh 2005, Extraction and classification of self-consumable sport video highlights using generic HMM, in Contested role for perspective in three-dimensional information visualisation : Proceedings of the 4th Asia Pacific International Symposium on Information Technology, IEEE Computer Society Press, Los Alamitos, Calif., pp. 200-203.
This paper aims to automatically extract and classify self-consumable sport video highlights. For this purpose, we will emphasize the benefits of using play-break sequences as the effective inputs for HMMbased classifier. HMM is used to model the stochastic pattern of high-level states during specific sport highlights which correspond to the sequence of generic audio-visual measurements extracted from raw video data. This paper uses soccer as the domain study, focusing on the extraction and classification of goal, shot and foul highlights. The experiment work which uses183 play-break sequences from 6 soccer matches will be presented to demonstrate the performance of our proposed scheme.
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Field of Research
080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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