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Volumn , Issue , 2013, Pages 1610-1617

Query adaptive similarity for large scale object retrieval

Author keywords

Feature Feature Similarity; Negative Examples; Object Retrieval; Probabilistic Framework; Query Adaptive Similarity

Indexed keywords

ADAPTIVE SIMILARITIES; FEATURE-FEATURE SIMILARITY; NEGATIVE EXAMPLES; OBJECT RETRIEVAL; PROBABILISTIC FRAMEWORK;

EID: 84887392826     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.211     Document Type: Conference Paper
Times cited : (76)

References (26)
  • 1
    • 84887382677 scopus 로고    scopus 로고
    • 7
    • http://www. vision. ee. ethz. ch/qind/ HelloNeighbor. html. 7
  • 2
    • 84866678025 scopus 로고    scopus 로고
    • Three things everyone should know to improve object retrieval
    • 6, 7
    • R. Arandjelovíc and A. Zisserman. Three things everyone should know to improve object retrieval. In CVPR, 2012. 6, 7
    • (2012) CVPR
    • Arandjelovíc, R.1    Zisserman, A.2
  • 3
    • 84866710693 scopus 로고    scopus 로고
    • The inverted multi-index
    • 2
    • A. Babenko and V. S. Lempitsky. The inverted multi-index. In CVPR, pages 3069-3076, 2012. 2
    • (2012) CVPR , pp. 3069-3076
    • Babenko, A.1    Lempitsky, V.S.2
  • 4
    • 77955993037 scopus 로고    scopus 로고
    • Unsupervised discovery of cooccurrence in sparse high dimensional data
    • 2
    • O. Chum and J. Matas. Unsupervised discovery of cooccurrence in sparse high dimensional data. In CVPR, 2010. 2
    • (2010) CVPR
    • Chum, O.1    Matas, J.2
  • 5
    • 50649105215 scopus 로고    scopus 로고
    • Total recall: Automatic query expansion with a generative feature model for object retrieval
    • 2
    • O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman. Total recall: Automatic query expansion with a generative feature model for object retrieval. In ICCV, 2007. 2
    • (2007) ICCV
    • Chum, O.1    Philbin, J.2    Sivic, J.3    Isard, M.4    Zisserman, A.5
  • 6
    • 84866669440 scopus 로고    scopus 로고
    • A fast nearest neighbor search algorithm by nonlinear embedding
    • 2
    • Y. Hwang, B. Han, and H.-K. Ahn. A fast nearest neighbor search algorithm by nonlinear embedding. In CVPR, pages 3053-3060, 2012. 2
    • (2012) CVPR , pp. 3053-3060
    • Hwang, Y.1    Han, B.2    Ahn, H.-K.3
  • 7
    • 84455168944 scopus 로고    scopus 로고
    • Asymmetric hamming embedding
    • United States, October. QUAERO. 7
    • M. Jain, H. Jégou, and P. Gros. Asymmetric Hamming Embedding. In ACM Multimedia, Scottsdale, United States, October 2011. QUAERO. 7
    • (2011) ACM Multimedia, Scottsdale
    • Jain, M.1    Jégou, H.2    Gros, P.3
  • 8
    • 70449560133 scopus 로고    scopus 로고
    • Hamming embedding and weak geometric consistency for large scale image search
    • October. 1, 6
    • H. Jégou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In ECCV, October 2008. 1, 6
    • (2008) ECCV
    • Jégou, H.1    Douze, M.2    Schmid, C.3
  • 9
    • 70450183957 scopus 로고    scopus 로고
    • On the burstiness of visual elements
    • June. 2, 5
    • H. Jégou, M. Douze, and C. Schmid. On the burstiness of visual elements. In CVPR, June 2009. 2, 5
    • (2009) CVPR
    • Jégou, H.1    Douze, M.2    Schmid, C.3
  • 10
    • 77951207698 scopus 로고    scopus 로고
    • Improving bag-offeatures for large scale image search
    • February. 7
    • H. Jégou, M. Douze, and C. Schmid. Improving bag-offeatures for large scale image search. IJCV, 87(3):316-336, February 2010. 7
    • (2010) IJCV , vol.87 , Issue.3 , pp. 316-336
    • Jégou, H.1    Douze, M.2    Schmid, C.3
  • 11
    • 84871395884 scopus 로고    scopus 로고
    • Exploiting descriptor distances for precise image search
    • June. 2, 3, 7, 8
    • H. Jégou, M. Douze, and C. Schmid. Exploiting descriptor distances for precise image search. Research report, INRIA Rennes, June 2011. 2, 3, 7, 8
    • (2011) Research Report, INRIA Rennes
    • Jégou, H.1    Douze, M.2    Schmid, C.3
  • 14
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • 1
    • D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004. 1
    • (2004) IJCV , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 15
    • 9644260534 scopus 로고    scopus 로고
    • Scale and affine invariant interest point detectors
    • 3
    • K. Mikolajczyk and C. Schmid. Scale and affine invariant interest point detectors. IJCV, 60(1), 2004. 3
    • (2004) IJCV , vol.60 , Issue.1
    • Mikolajczyk, K.1    Schmid, C.2
  • 17
    • 50649086537 scopus 로고    scopus 로고
    • Highdimensional feature matching: Employing the concept of meaningful nearest neighbors
    • 2
    • D. Omercevic, O. Drbohlav, and A. Leonardis. Highdimensional feature matching: employing the concept of meaningful nearest neighbors. In ICCV, 2007. 2
    • (2007) ICCV
    • Omercevic, D.1    Drbohlav, O.2    Leonardis, A.3
  • 18
    • 70450179951 scopus 로고    scopus 로고
    • Efficient representation of local geometry for large scale object retrieval
    • June. 7
    • M. Perdoch, O. Chum, and J. Matas. Efficient representation of local geometry for large scale object retrieval. In CVPR, June 2009. 7
    • (2009) CVPR
    • Perdoch, M.1    Chum, O.2    Matas, J.3
  • 19
    • 34948903793 scopus 로고    scopus 로고
    • Object retrieval with large vocabularies and fast spatial matching
    • 2, 6
    • J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007. 2, 6
    • (2007) CVPR
    • Philbin, J.1    Chum, O.2    Isard, M.3    Sivic, J.4    Zisserman, A.5
  • 20
    • 51949105132 scopus 로고    scopus 로고
    • Lost in quantization: Improving particular object retrieval in large scale image databases
    • 1, 6
    • J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Lost in quantization: Improving particular object retrieval in large scale image databases. In CVPR, 2008. 1, 6
    • (2008) CVPR
    • Philbin, J.1    Chum, O.2    Isard, M.3    Sivic, J.4    Zisserman, A.5
  • 21
    • 80052894806 scopus 로고    scopus 로고
    • Descriptor learning for efficient retrieval
    • 2, 3
    • J. Philbin, M. Isard, J. Sivic, and A. Zisserman. Descriptor learning for efficient retrieval. In ECCV, 2010. 2, 3
    • (2010) ECCV
    • Philbin, J.1    Isard, M.2    Sivic, J.3    Zisserman, A.4
  • 22
    • 84887334721 scopus 로고    scopus 로고
    • Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors
    • 2, 7
    • D. Qin, S. Gammeter, L. Bossard, T. Quack, and L. van Gool. Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors. In CVPR. IEEE, 2011. 2, 7
    • (2011) CVPR. IEEE
    • Qin, D.1    Gammeter, S.2    Bossard, L.3    Quack, T.4    Van Gool, L.5
  • 23
    • 84866698558 scopus 로고    scopus 로고
    • Object retrieval and localization with spatially-constrained similarity measure and k-nn re-ranking
    • 2
    • X. Shen, Z. Lin, J. Brandt, S. Avidan, and Y. Wu. Object retrieval and localization with spatially-constrained similarity measure and k-nn re-ranking. In CVPR, 2012. 2
    • (2012) CVPR
    • Shen, X.1    Lin, Z.2    Brandt, J.3    Avidan, S.4    Wu, Y.5
  • 24
    • 0345414182 scopus 로고    scopus 로고
    • Video Google: A text retrieval approach to object matching in videos
    • 1
    • J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, 2003. 1
    • (2003) ICCV
    • Sivic, J.1    Zisserman, A.2
  • 25
    • 79958282101 scopus 로고    scopus 로고
    • ASIFT: An algorithm for fully affine invariant comparison
    • 3
    • G. Yu and J.-M. Morel. ASIFT: An Algorithm for Fully Affine Invariant Comparison. Image Processing On Line, 2011, 2011. 3
    • (2011) Image Processing on Line, 2011
    • Yu, G.1    Morel, J.-M.2
  • 26
    • 80052903063 scopus 로고    scopus 로고
    • Image retrieval with geometrypreserving visual phrases
    • 2
    • Y. Zhang, Z. Jia, and T. Chen. Image retrieval with geometrypreserving visual phrases. In CVPR, 2011. 2
    • (2011) CVPR
    • Zhang, Y.1    Jia, Z.2    Chen, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.