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Volumn , Issue , 2009, Pages 19-24

An empirical study of multi-label learning methods for video annotation

Author keywords

[No Author keywords available]

Indexed keywords

APPROACHES TO LEARNING; DATA SETS; DESCRIPTORS; EMPIRICAL STUDIES; EVALUATION MEASURES; EXPERIMENTAL COMPARISON; IMAGE DESCRIPTORS; LEARNING METHODS; MULTI-LABEL; VIDEO ANNOTATIONS; VIDEO DATA;

EID: 70350370227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMI.2009.37     Document Type: Conference Paper
Times cited : (53)

References (15)
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    • Boutell, M.1    Luo, J.2    Shen, X.3    Brown, C.4
  • 2
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    • (2006) Proc of ACM Multimedia , pp. 421-430
    • Snoek, C.G.1    Worring, M.2    van Gemert, J.C.3    Geusebroek, J.4    Smeulders, A.W.5
  • 6
    • 0026692226 scopus 로고
    • Stacked generalization
    • D. Wolpert, "Stacked generalization," Neural Networks, vol. 5, pp. 241-259, 1992.
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    • Wolpert, D.1
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    • 33748366796 scopus 로고    scopus 로고
    • Multi-label neural networks with applications to functional genomics and text categorization
    • M.-L. Zhang and Z.-H. Zhou, "Multi-label neural networks with applications to functional genomics and text categorization," IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 10, pp. 1338-1351, 2006.
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , Issue.10 , pp. 1338-1351
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 10
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • software available at
    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, pp. 91-110, 2004, software available at http://www.cs.ubc.ca/lowe/keypoints/.
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    • Lowe, D.G.1
  • 11
    • 0345414182 scopus 로고    scopus 로고
    • Video google: A text retrieval approach to object matching in videos
    • ICCV. IEEE Computer Society, Washington, DC, October
    • J. Sivic and A. Zisserman, "Video google: A text retrieval approach to object matching in videos," in Proc. of the 9th IEEE int Conf. on Computer Vision, vol. 2. ICCV. IEEE Computer Society, Washington, DC, 1470, October 2003.
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  • 15
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    • Semantic image analysis using a learning approach and spatial context
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.