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
Link To Document :
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