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Multi-level semantic analysis for sports video

journal contribution
posted on 2005-01-01, 00:00 authored by D Tjondronegoro, Yi-Ping Phoebe Chen
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.

History

Journal

Lecture notes in computer science

Volume

3682

Pagination

24 - 30

Publisher

Springer-Verlag

Location

Heidelberg, Germany

ISSN

0302-9743

eISSN

1611-3349

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2005, Springer-Verlag

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