DocumentCode
2133278
Title
Video event understanding through building knowledge domain
Author
Song, Dan ; Liu, Haitao ; Cho, Miyoung ; Kim, Pankoo
Author_Institution
Dept. of Comput. Sci., Chosun Univ., Gwangju, South Korea
fYear
2005
fDate
2005
Firstpage
577
Lastpage
582
Abstract
A novel method for video event analysis and description based on the knowledge domain has been put forward in this paper. Semantic concepts in the context of the video event are described in one specific domain enriched with qualitative attributes of the semantic objects, multimedia processing approaches and domain independent factors: low level features (pixel color, motion vectors and spatio-temporal relationship). In this work, we consider one shot (episode) in the billiard game of video as the specific domain to explain the process of video event detection. In addition, our another main contribution is exploiting the video object ontology to map the MPEG-7´s high-level descriptors to tow level features descriptors which have been defined in the MPEG´s logical structure.
Keywords
feature extraction; multimedia computing; ontologies (artificial intelligence); video coding; MPEG logical structure; MPEG-7 high-level descriptors; billiard game video; features descriptors; knowledge domain building; low level features; motion vectors; multimedia processing; pixel color; qualitative attributes; semantic concepts; semantic objects; spatiotemporal relationship; video event analysis; video event description; video event detection; video event understanding; video object ontology; Algorithm design and analysis; Color; Data mining; High definition video; MPEG 7 Standard; Multimedia databases; Multimedia systems; Ontologies; Spatiotemporal phenomena; Standards development;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science, 2005. Fourth Annual ACIS International Conference on
Print_ISBN
0-7695-2296-3
Type
conf
DOI
10.1109/ICIS.2005.126
Filename
1515467
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