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Volumn , Issue , 2011, Pages 1449-1452

Text and image subject classifiers: Dense works better

Author keywords

Feature representation; Multimedia linking; Multimedia subject classification; Retrieval

Indexed keywords

ABSTRACTION METHODS; FEATURE REPRESENTATION; IMAGE CLASSIFIERS; IMAGE DOMAIN; INTERACTIVE SEARCH; MULTIMEDIA LINKING; RETRIEVAL; SAMPLING METHOD; SUBJECT CLASSIFICATION; TERM FREQUENCY; TEXT FEATURE; VISUAL CONCEPT;

EID: 84455205043     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2072298.2072037     Document Type: Conference Paper
Times cited : (2)

References (13)
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    • J. Sivic, A.Z.1
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    • Evaluation campaigns and TRECVid
    • A. F. Smeaton, P. Over, and W. Kraaij. Evaluation campaigns and TRECVid. In MIR, pages 321-330, 2006.
    • (2006) MIR , pp. 321-330
    • Smeaton, A.F.1    Over, P.2    Kraaij, W.3
  • 10
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    • Visual-concept search solved?
    • June
    • C. G. M. Snoek and A. W. M. Smeulders. Visual-concept search solved? IEEE Computer, 43(6):76-78, June 2010.
    • (2010) IEEE Computer , vol.43 , Issue.6 , pp. 76-78
    • Snoek, C.G.M.1    Smeulders, A.W.M.2
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    • What is the spatial extent of an object?
    • J. R. R. Uijlings, A. W. M. Smeulders, and R. J. H. Scha. What is the spatial extent of an object? In CVPR, pages 770 -777, 2009.
    • (2009) CVPR , pp. 770-777
    • Uijlings, J.R.R.1    Smeulders, A.W.M.2    Scha, R.J.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.