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Volumn , Issue , 2008, Pages 67-74

Object retrieval using configurations of salient regions

Author keywords

Frequency vector; Neighborhood clustering; Object retrieval; Salient region; Spatial configuration

Indexed keywords

ENCODING (SYMBOLS); IMAGE REGISTRATION; IMAGE RETRIEVAL; SURFACE STRUCTURE;

EID: 57549103762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1386352.1386365     Document Type: Conference Paper
Times cited : (7)

References (21)
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  • 3
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    • Object recognition from local scaleinvariant features
    • presented at IEEE International Conference on
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  • 7
    • 3142736062 scopus 로고    scopus 로고
    • Robust wide-baseline stereo from maximally stable extremal regions
    • J. Matas, O. Chum, M. Urban, and T. Pajdla, 2004, "Robust wide-baseline stereo from maximally stable extremal regions," Image and Vision Computing, vol. 22, pp. 761-767.
    • (2004) Image and Vision Computing , vol.22 , pp. 761-767
    • Matas, J.1    Chum, O.2    Urban, M.3    Pajdla, T.4
  • 12
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    • Sampling Strategies for Bag-of-Features Image Classification
    • E. Nowak, F. Jurie, and B. Triggs, 2006, "Sampling Strategies for Bag-of-Features Image Classification," in Computer Vision -ECCV 2006, pp. 490-503.
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  • 13
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    • T. Quack, V. Ferrari, B. Leibe, and L. A. V. G. L. Van Gool, 2007, Efficient Mining of Frequent and Distinctive Feature Configurations, presented at Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on.
    • T. Quack, V. Ferrari, B. Leibe, and L. A. V. G. L. Van Gool, 2007, "Efficient Mining of Frequent and Distinctive Feature Configurations," presented at Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on.
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    • Video Google: A text retrieval approach to object matching in videos
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.