Multi-level Semantic Analysis for Sports Video

& Chen, Yi-Ping (2005) Multi-level Semantic Analysis for Sports Video. Lecture Notes in Computer Science, 3682, Article number: KES 24-30.

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Description

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.

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1 citations in Scopus
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494 since deposited on 06 Sep 2006
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ID Code: 4941
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Tjondronegoro, Dianorcid.org/0000-0001-7446-2839
Measurements or Duration: 7 pages
Keywords: Multi-Level Semantic Analysis, Multimedia, Video Content Extraction
DOI: 10.1007/11552451_4
ISSN: 0302-9743
Pure ID: 34286114
Divisions: ?? 16 ??
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Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Research Centres > Australian Research Centre for Aerospace Automation
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 06 Sep 2006 00:00
Last Modified: 03 Mar 2024 06:34