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Volumn , Issue , 2010, Pages 1445-1448

SVD-SIFT for web near-duplicate image detection

Author keywords

Scale invariant feature transform (SIFT); Singular value decomposition (SVD); Web near duplicate image detection

Indexed keywords

DETECTION METHODS; FEATURE MATCHING; FEATURE VECTORS; IMAGE FEATURES; KEYPOINTS; NEAR-DUPLICATE IMAGE DETECTION; SCALE INVARIANT FEATURE TRANSFORMS; SIFT FEATURE; SINGULAR VALUE DECOMPOSITION (SVD); SINGULAR VALUE DECOMPOSITION METHOD;

EID: 78651084483     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5650235     Document Type: Conference Paper
Times cited : (16)

References (14)
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    • Ke, Y.1    Sukthankar, R.2    Huston, L.3
  • 2
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    • J. Shin'ichi Satoh, Masao Takimoto, and Jun Adachi, "Scene duplicate detection from videos based on trajectories of feature points, " in ACM MIR, September 2007.
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  • 4
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  • 5
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    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints, " International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.
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    • Lowe, D.G.1
  • 7
    • 5044233274 scopus 로고    scopus 로고
    • PCA-SIFT: A more distinctive representation for local image descriptors
    • Y. Ke and R. Sukthankar, "PCA-SIFT: A more distinctive representation for local image descriptors, " in CVPR, 2004.
    • (2004) CVPR
    • Ke, Y.1    Sukthankar, R.2
  • 10
    • 0019009028 scopus 로고
    • The singular value decomposition: Its computation and some applications
    • V. C. Klema and A. J. Laub, "The singular value decomposition: Its computation and some applications, " IEEE Transactions on Automatic Control, vol. 25, no. 2, pp. 164-176, 1980.
    • (1980) IEEE Transactions on Automatic Control , vol.25 , Issue.2 , pp. 164-176
    • Klema, V.C.1    Laub, A.J.2
  • 11
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    • Comparison of statistical pattern recognition algorithms for hybrid processing, Part II: Eigenvector-based algorithms
    • Q. Tian, Y. Fainman, and et a1 Z.H. Gu, "Comparison of statistical pattern recognition algorithms for hybrid processing, Part II: Eigenvector-based algorithms, " Journal of the Optical Society of America, vol. 5, no. 10, pp. 1670-1672, 1988.
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  • 14
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    • T.-K. Kim, J. Kittler, and R. Cipolla, "Discriminative learning and recognition of image set classes using canonical correlations, " IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1005-1008, June 2007.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.