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Volumn 4071 LNCS, Issue , 2006, Pages 453-462

Semantics supervised cluster-based index for video databases

Author keywords

Cluster; High dimensional index; Video database; Video semantics

Indexed keywords

APPROXIMATION THEORY; FEATURE EXTRACTION; INDEXING (OF INFORMATION); SEMANTICS; VIDEO SIGNAL PROCESSING;

EID: 33746652258     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11788034_46     Document Type: Conference Paper
Times cited : (2)

References (10)
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    • Kanth, K.V.R.1    Agrawal, D.2    Singh, A.3
  • 2
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    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
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    • Ye, H.J.1    Xu, G.Y.2
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    • Automatic recognition of film genres
    • San Francisco, USA
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    • Fischer, S.1    Lienhart, R.2    Effelsberg, W.3
  • 8
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    • Addressing the problems of Bayesian network classification of video using high-dimensional features
    • February
    • A. Mittal, L.F. Cheong. Addressing the problems of Bayesian Network Classification of Video Using High-Dimensional Features. IEEE Trans. On Knowledge and Data Engineering, Vol. 16(2),February(2004)230-244
    • (2004) IEEE Trans. on Knowledge and Data Engineering , vol.16 , Issue.2 , pp. 230-244
    • Mittal, A.1    Cheong, L.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.