Semantic Characterization of Visual Content for Sports Videos Annotation
Identifieur interne : 001150 ( Istex/Corpus ); précédent : 001149; suivant : 001151Semantic Characterization of Visual Content for Sports Videos Annotation
Auteurs : Jürgen Assfalg ; Marco Bertini ; Carlo Colombo ; Alberto Del BimboSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
Abstract
Abstract: This paper illustrates an approach to semantic video annotation in the specific context of sports videos. Videos are automatically annotated according to elements of visual content at different layers of semantic significance. Unlike previous approaches, videos can include several different sports and can also be interleaved with non sport shots. Each shot is decomposed into its visual and graphic content elements, including foreground and background, objects, text captions, etc. Several different low-level visual primitives are combined together by domainspecific rules in order to capture semantic content at a higher level of significance. Results of experiments on typical sports videos are presented and discussed.
Url:
DOI: 10.1007/3-540-44819-5_15
Links to Exploration step
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<Para>This paper illustrates an approach to semantic video annotation in the specific context of sports videos. Videos are automatically annotated according to elements of visual content at different layers of semantic significance. Unlike previous approaches, videos can include several different sports and can also be interleaved with non sport shots. Each shot is decomposed into its visual and graphic content elements, including foreground and background, objects, text captions, etc. Several different low-level visual primitives are combined together by domainspecific rules in order to capture semantic content at a higher level of significance. Results of experiments on typical sports videos are presented and discussed.</Para>
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<Keyword>Content-Based Video Retrieval</Keyword>
<Keyword>Video Annotation</Keyword>
<Keyword>Video Semantics</Keyword>
<Keyword>Sports Videos</Keyword>
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<abstract lang="en">Abstract: This paper illustrates an approach to semantic video annotation in the specific context of sports videos. Videos are automatically annotated according to elements of visual content at different layers of semantic significance. Unlike previous approaches, videos can include several different sports and can also be interleaved with non sport shots. Each shot is decomposed into its visual and graphic content elements, including foreground and background, objects, text captions, etc. Several different low-level visual primitives are combined together by domainspecific rules in order to capture semantic content at a higher level of significance. Results of experiments on typical sports videos are presented and discussed.</abstract>
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<subTitle>Second International Workshop, MDIC 2001 Amalfi, Italy, September 17–18, 2001 Proceedings</subTitle>
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<name type="personal"><namePart type="given">Maurizio</namePart>
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