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.

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Title Extraction and classification of self-consumable sport video highlights using generic HMM
Author(s) Tjondronegoro, Dian
Chen, Yi-Ping Phoebe
Pham, Binh
Conference name Asia Pacific International Symposium on Information Technology (4th : 2005 : Gold Coast, Qld.)
Conference location Gold Coast, Qld.
Conference dates 26-27 January 2005
Title of proceedings Contested role for perspective in three-dimensional information visualisation : Proceedings of the 4th Asia Pacific International Symposium on Information Technology
Editor(s) Rhee, S. B.
Publication date 2005
Conference series Asia Pacific International Symposium on Information Technology
Start page 200
End page 203
Publisher IEEE Computer Society Press
Place of publication Los Alamitos, Calif.
Keyword(s) self-consumable highlights
sport video summarization
Hidden Markov Model (HMM)
audiovisual features
Summary 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.
ISBN 1920952284
9781920952280
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009701

Document type: Conference Paper
Collection: School of Information Technology
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