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Semantic Characterization of Visual Content for Sports Videos Annotation

Identifieur interne : 001150 ( Istex/Corpus ); précédent : 001149; suivant : 001151

Semantic Characterization of Visual Content for Sports Videos Annotation

Auteurs : Jürgen Assfalg ; Marco Bertini ; Carlo Colombo ; Alberto Del Bimbo

Source :

RBID : ISTEX:D4D1048E651CF0B36369EAA17CCF5201AE32DF0B

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

ISTEX:D4D1048E651CF0B36369EAA17CCF5201AE32DF0B

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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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<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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