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Volumn 36, Issue 6, 2009, Pages 9813-9818

TSVM-HMM: Transductive SVM based hidden Markov model for automatic image annotation

Author keywords

Automatic image annotation (AIA); Hidden Markov model (HMM); Keyword correlation; Transductive SVM; Visual feature distribution

Indexed keywords

AUTOMATIC IMAGE ANNOTATION (AIA); HIDDEN MARKOV MODEL (HMM); KEYWORD CORRELATION; TRANSDUCTIVE SVM; VISUAL FEATURE DISTRIBUTION;

EID: 64449085024     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.02.050     Document Type: Article
Times cited : (21)

References (13)
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    • Chen, Y.1    Tsai, F.S.2    Chan, K.L.3
  • 2
    • 84937572644 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexion for a fixed image vocabulary
    • Copenhagon, Denmark
    • Duygulu, P., Barnard, K., de Freitas, N., & Forsyth, D. A. (2002). Object recognition as machine translation: learning a lexion for a fixed image vocabulary. In IEEE conference on computer vision (ICCV), Copenhagon, Denmark (Vol. 4, pp. 97-112).
    • (2002) IEEE conference on computer vision (ICCV) , vol.4 , pp. 97-112
    • Duygulu, P.1    Barnard, K.2    de Freitas, N.3    Forsyth, D.A.4
  • 3
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    • 24644449267 scopus 로고    scopus 로고
    • Kumar, M. P., Torr, P. H. S., & Zisserman, A. (2005). OBJ CUT. In IEEE conference on computer vision and pattern recognition (CVPR), San Diego, USA (1, pp. 18-25).
    • Kumar, M. P., Torr, P. H. S., & Zisserman, A. (2005). OBJ CUT. In IEEE conference on computer vision and pattern recognition (CVPR), San Diego, USA (Vol. 1, pp. 18-25).
  • 12
    • 33845562302 scopus 로고    scopus 로고
    • Region-based image annotation using asymmetrical support vector machine-based multiple instance learning
    • New York, USA
    • Yang, C. B., & Dong, M. (2006). Region-based image annotation using asymmetrical support vector machine-based multiple instance learning. In IEEE conference on computer vision and pattern recognition (CVPR), New York, USA (Vol. 2, pp. 2057-2063).
    • (2006) IEEE conference on computer vision and pattern recognition (CVPR) , vol.2 , pp. 2057-2063
    • Yang, C.B.1    Dong, M.2
  • 13
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    • A probabilistic semantic model for image annotation and multi-modal image retrieval
    • Beijing, China
    • Zhang, R., Zhang, Z., Li, M., Ma, W. Y., & Zhang, H. J. (2005). A probabilistic semantic model for image annotation and multi-modal image retrieval. In IEEE conference on computer vision (ICCV), Beijing, China. (Vol. 1, pp. 846-851).
    • (2005) IEEE conference on computer vision (ICCV) , vol.1 , pp. 846-851
    • Zhang, R.1    Zhang, Z.2    Li, M.3    Ma, W.Y.4    Zhang, H.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.