Personalized Sports Video Customization Using Content and Context Analysis
We present an integrated framework on personalized sports video customization, which addresses three research issues: semantic video annotation, personalized video retrieval and summarization, and system adaptation. Sports video annotation serves as the foundation of the video customization system....
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2010/836357 |
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| Summary: | We present an integrated framework on personalized
sports video customization, which addresses three research issues:
semantic video annotation, personalized video retrieval and summarization,
and system adaptation. Sports video annotation serves as the foundation
of the video customization system. To acquire detailed description
of video content, external web text is adopted to align with the
related sports video according to their semantic correspondence. Based
on the derived semantic annotation, a user-participant multiconstraint
0/1 Knapsack model is designed to model the personalized video customization,
which can unify both video retrieval and summarization with
different fusion parameters. As a measure to make the system adaptive to
the particular user, a social network based system adaptation algorithm
is proposed to learn latent user preference implicitly. Both quantitative
and qualitative experiments conducted on twelve broadcast basketball
and football videos validate the effectiveness of the proposed method. |
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| ISSN: | 1687-7578 1687-7586 |