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Semantic Video Retrieval Based On User Preference  

Jung, Min-Young (Department of Computer Science Eng., Hanyang Univ.)
Park, Sung-Han (Department of Computer Science Eng., Hanyang Univ.)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.46, no.4, 2009 , pp. 127-133 More about this Journal
Abstract
To ensure access to rapidly growing video collection, video indexing is becoming more and more essential. A database for video should be build for fast searching and extracting the accurate features of video information with more complex characteristics. Moreover, video indexing structure supports efficient retrieval of interesting contents to reflect user preferences. In this paper, we propose semantic video retrieval method based on user preference. Unlikely the previous methods do not consider user preferences. Futhermore, the conventional methods show the result as simple text matching for the user's query that does not supports the semantic search. To overcome these limitations, we develop a method for user preference analysis and present a method of video ontology construction for semantic retrieval. The simulation results show that the proposed algorithm performs better than previous methods in terms of semantic video retrieval based on user preferences.
Keywords
user preference; semantic retrieval; video search; video retrieval; personalized service;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 A. Hoogs, J. Rittscher, G. Stein and J. Schmiederer, 'Video content annotation using visual analysis and a large semantic knowledgebase,' in Proc. of CVPR, vol. 2, pp. 379, 2003   DOI
2 L. Hollink, M. Worring, A.T. Schreiber, 'Building a visual ontology for video retrieval,' in Proc. of the ACM Multimedia, pp. 479-482, 2005   DOI
3 M. Maybury, W. Greiff, S. Boykin, J. Ponte, C. McHenry and L. Ferro, 'Personalcasting: Tailored broadcast news,' User Modeling and User-Adapted Interaction, vol. 14, pp. 119, 2004   DOI   ScienceOn
4 G. C. Stein, J. Rittscher, and A. Hoogs, 'Enabling video annotation using a semantic database extended with visual knowledge,' in Proc. of ICME, vol. 1, pp.161-164, 2003
5 L. Tseng, C. Y. Lin and J. R. Smith, 'Video personalization and summarization system for usage environment,' J. Vis. Commun. Image Represent., vol. 15, pp. 370, 2004.(538)   DOI   ScienceOn
6 정민영, 박성한, '비디오 서버에서 온톨로지를 이용한 의미기반 장면 검색,' 전자공학회 논문지 CI편, 제 45권, 5호, pp. 32-37, 2008   과학기술학회마을
7 A. Jaimes, T. Echigo, M. Teraguchi and F. Satoh, 'Learning personalized video highlights from detailed MPEG-7 event metadata,' in Proc. ICIP, vol. 1, pp. 133-136, 2002
8 H. Ghosh, P. Poornachander, A. Mallik and S. Chanudhury, 'Learning Ontology for Personalized Video Retrieval.' in Proc. of ACM Multimedia, pp. 39–46, 2007   DOI
9 http://www.w3.org/Submission/SWRL/#2.2
10 B. Yu, W.Y. Ma, K. Nahrstedt and H.J. Zhang, 'Video summarization based on user log enhanced link analysis,' in Proc. ACM Multimedia, pp. 382-391, 2003   DOI