Content-based video indexing for sports applications using integrated multi-modal approach

Tjondronegoro, Dian, Chen, Yi-Ping Phoebe and Pham, Binh 2005, Content-based video indexing for sports applications using integrated multi-modal approach, in Proceedings of the MM 2005 & co-located workshops : November 6-11, 2005, Singapore, Association for Computing Machinery, New York, N.Y., pp. 1035-1036.

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Title Content-based video indexing for sports applications using integrated multi-modal approach
Author(s) Tjondronegoro, Dian
Chen, Yi-Ping Phoebe
Pham, Binh
Conference name ACM International Conference on Multimedia (13th : 2005 : Singapore)
Conference location Singapore
Conference dates 6-11 November 2005
Title of proceedings Proceedings of the MM 2005 & co-located workshops : November 6-11, 2005, Singapore
Editor(s) Chua, T.
Publication date 2005
Conference series Association for Computing Machinery International Conference on Multimedia
Start page 1035
End page 1036
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) sports video indexing
multi-modal event detection
Summary To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. However, current video indexing solutions are still immature and lack of any standard. This doctoral consists of a research work based on an integrated multi-modal approach for sports video indexing and retrieval. By combining specific features extractable from multiple audio-visual modalities, generic structure and specific events can be detected and classified. During browsing and retrieval, users will benefit from the integration of high-level semantic and some descriptive mid-level features such as whistle and close-up view of player(s).
ISBN 1595930442
9781595930446
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©author/owner(s)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005725

Document type: Conference Paper
Collection: School of Information Technology
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