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Volumn 39, Issue 3, 2013, Pages 945-956

Real web community based automatic image annotation

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATION PROPAGATION; AUTOMATIC IMAGE ANNOTATION; IMAGE ANNOTATION; LARGE-SCALE DATASETS; NEAREST NEIGHBORS; REFINEMENT METHODS; TRAINING DATASET; TRAINING IMAGE;

EID: 84879216452     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compeleceng.2012.09.017     Document Type: Article
Times cited : (8)

References (28)
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    • Ontology modularization to improve semantic medical image annotation
    • W. Pinar, S. Klaus, and B. Paul Ontology modularization to improve semantic medical image annotation J Biomed Informatics 44 1 2011 155 162
    • (2011) J Biomed Informatics , vol.44 , Issue.1 , pp. 155-162
    • Pinar, W.1    Klaus, S.2    Paul, B.3
  • 4
    • 80051593771 scopus 로고    scopus 로고
    • Invariant object recognition and pose estimation with slow feature analysis
    • F. Mathias, W. Niko, and W. Laurenz Invariant object recognition and pose estimation with slow feature analysis Neural Comput 23 9 2011 2289 2323
    • (2011) Neural Comput , vol.23 , Issue.9 , pp. 2289-2323
    • Mathias, F.1    Niko, W.2    Laurenz, W.3
  • 7
    • 78751574174 scopus 로고    scopus 로고
    • Visual object-action recognition: Inferring object affordances from human demonstration
    • K. Hedvig, R. Javier, and K. Danica Visual object-action recognition: inferring object affordances from human demonstration Comput Vis Image Und 115 1 2011 81 90
    • (2011) Comput Vis Image und , vol.115 , Issue.1 , pp. 81-90
    • Hedvig, K.1    Javier, R.2    Danica, K.3
  • 14
    • 53449100015 scopus 로고    scopus 로고
    • Combining global, regional and contextual features for automatic image annotation
    • W. Yong, M. Tao, G. Shaogang, and H. Xian-Sheng Combining global, regional and contextual features for automatic image annotation Pattern Recogn 42 2009 259 266
    • (2009) Pattern Recogn , vol.42 , pp. 259-266
    • Yong, W.1    Tao, M.2    Shaogang, G.3    Xian-Sheng, H.4
  • 15
    • 70349453938 scopus 로고    scopus 로고
    • Transductive multi-instance multi-label learning algorithm with application to automatic image annotation
    • F. Songhe, and X. De Transductive multi-instance multi-label learning algorithm with application to automatic image annotation Expert Syst Appl 37 2010 661 670
    • (2010) Expert Syst Appl , vol.37 , pp. 661-670
    • Songhe, F.1    De, X.2
  • 24
    • 42649108403 scopus 로고    scopus 로고
    • Segmentation by fusion of histogram-based K-means clusters in different color spaces
    • M. Mignotte Segmentation by fusion of histogram-based K-means clusters in different color spaces IEEE Trans Image Process 17 5 2008 780 787
    • (2008) IEEE Trans Image Process , vol.17 , Issue.5 , pp. 780-787
    • Mignotte, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.