Multi-level semantic analysis for sports video

Tjondronegoro, Dian W. and Chen, Yi-Ping Phoebe 2005, Multi-level semantic analysis for sports video, Lecture notes in computer science, vol. 3682, pp. 24-30.

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Title Multi-level semantic analysis for sports video
Author(s) Tjondronegoro, Dian W.
Chen, Yi-Ping Phoebe
Journal name Lecture notes in computer science
Volume number 3682
Start page 24
End page 30
Publisher Springer-Verlag
Place of publication Heidelberg, Germany
Publication date 2005
ISSN 0302-9743
1611-3349
Summary There has been a huge increase in the utilization of video as one of the most preferred type of media due to its content richness for many significant applications including sports. To sustain an ongoing rapid growth of sports video, there is an emerging demand for a sophisticated content-based indexing system. Users recall video contents in a high-level abstraction while video is generally stored as an arbitrary sequence of audio-visual tracks. To bridge this gap, this paper will demonstrate the use of domain knowledge and characteristics to design the extraction of high-level concepts directly from audio-visual features. In particular, we propose a multi-level semantic analysis framework to optimize the sharing of domain characteristics.
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2005, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008809

Document type: Journal Article
Collection: School of Information Technology
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