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Volumn 17, Issue 3, 2007, Pages 384-389

A study of quality issues for image auto-annotation with the corel dataset

Author keywords

Corel image set; Image auto annotation; Support vector machine (SVM)

Indexed keywords

ALGORITHMS; DATA STRUCTURES; IMAGE QUALITY; SEARCH ENGINES; SUPPORT VECTOR MACHINES;

EID: 33847770046     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2006.888941     Document Type: Article
Times cited : (42)

References (12)
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    • Duygulu, P.1    Barnard, K.2    de Freitas, J.3    Forsyth, D.4
  • 3
    • 1542347786 scopus 로고    scopus 로고
    • Automatic image annotation and retrieval using cross-media relevance models
    • J. Jeon, V. Lavrenko, and R. Manmatha, "Automatic image annotation and retrieval using cross-media relevance models," in Proc. SIGIR '03 Conf., 2003, pp. 119-126.
    • (2003) Proc. SIGIR '03 Conf , pp. 119-126
    • Jeon, J.1    Lavrenko, V.2    Manmatha, R.3
  • 4
    • 5044225521 scopus 로고    scopus 로고
    • Multiple Bernoulli relevance models for image and video annotation
    • S. L. Feng, R. Manmatha, and V. Lavrenko, "Multiple Bernoulli relevance models for image and video annotation," in Proc. IEEE CVPR, 2004, vol. 2, pp. 1002-1009.
    • (2004) Proc. IEEE CVPR , vol.2 , pp. 1002-1009
    • Feng, S.L.1    Manmatha, R.2    Lavrenko, V.3
  • 6
    • 1542287494 scopus 로고    scopus 로고
    • Experimental evaluation of a generative probabilistic image retrieval model on 'easy' data
    • Aug
    • T. Westerveld and A. P. de Vries, "Experimental evaluation of a generative probabilistic image retrieval model on 'easy' data," in Proc. SIGIR Multimedia Inf. Retrieval Workshop 2003, Aug. 2003, pp. 135-142.
    • (2003) Proc. SIGIR Multimedia Inf. Retrieval Workshop 2003 , pp. 135-142
    • Westerveld, T.1    de Vries, A.P.2
  • 11
    • 24644495320 scopus 로고    scopus 로고
    • Formulating semantic image annotation as a supervised learning problem
    • C. Carneiro and N. Vasconcelos, "Formulating semantic image annotation as a supervised learning problem," in Proc. CVPR (2), 2005, pp. 163-168.
    • (2005) Proc. CVPR (2) , pp. 163-168
    • Carneiro, C.1    Vasconcelos, N.2
  • 12
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for instance-based learning algorithms
    • D. R. Wilson and T. R. Martinez, "Reduction techniques for instance-based learning algorithms," Mach. Learning, vol. 38, no. 3, pp. 257-286, 2000.
    • (2000) Mach. Learning , vol.38 , Issue.3 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.