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Multi-level Semantic Analysis for Sports Video

Tjondronegoro, Dian W. & Chen, Yi-Ping Phoebe (2005) Multi-level Semantic Analysis for Sports Video. In Special Session on Machine Learning Techniques for Image and Video Processing in the 9 th International Conference on Knowledge Based Intelligent Information & Engineering Systems ( KES'05-MTLV), 14-16 September 2005, Melbourne, Australia.

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Abstract

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.

Impact and interest:

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346 since deposited on 06 Sep 2006
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ID Code: 4941
Item Type: Conference Paper
Keywords: Semantic analysis, sports video, multimedia, multilevel
DOI: 10.1007/11552451_4
ISBN: 9783540288954
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Multimedia Programming (080305)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Artificial Intelligence and Image Processing not elsewhere classified (080199)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2005 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 06 Sep 2006
Last Modified: 29 Feb 2012 23:13

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