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....
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
|
| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2010/836357 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849304698497007616 |
|---|---|
| author | Chao Liang Changsheng Xu Hanqing Lu |
| author_facet | Chao Liang Changsheng Xu Hanqing Lu |
| author_sort | Chao Liang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3a867cff87dc4427b3e7f1cb6811c1c0 |
| institution | Kabale University |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-3a867cff87dc4427b3e7f1cb6811c1c02025-08-20T03:55:40ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862010-01-01201010.1155/2010/836357836357Personalized Sports Video Customization Using Content and Context AnalysisChao Liang0Changsheng Xu1Hanqing Lu2National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaNational Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaNational Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaWe 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.http://dx.doi.org/10.1155/2010/836357 |
| spellingShingle | Chao Liang Changsheng Xu Hanqing Lu Personalized Sports Video Customization Using Content and Context Analysis International Journal of Digital Multimedia Broadcasting |
| title | Personalized Sports Video Customization Using Content and Context Analysis |
| title_full | Personalized Sports Video Customization Using Content and Context Analysis |
| title_fullStr | Personalized Sports Video Customization Using Content and Context Analysis |
| title_full_unstemmed | Personalized Sports Video Customization Using Content and Context Analysis |
| title_short | Personalized Sports Video Customization Using Content and Context Analysis |
| title_sort | personalized sports video customization using content and context analysis |
| url | http://dx.doi.org/10.1155/2010/836357 |
| work_keys_str_mv | AT chaoliang personalizedsportsvideocustomizationusingcontentandcontextanalysis AT changshengxu personalizedsportsvideocustomizationusingcontentandcontextanalysis AT hanqinglu personalizedsportsvideocustomizationusingcontentandcontextanalysis |