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Volumn , Issue , 2012, Pages 499-508

Image annotation by semantic sparse recoding of visual content

Author keywords

image annotation; semantic gap; semantic sparse recoding; visual bow representation

Indexed keywords

BAG OF WORDS; BENCHMARK DATASETS; CODEBOOKS; HIGH LEVEL SEMANTICS; IMAGE ANNOTATION; RECODING; SEMANTIC GAP; SPARSE CODING; TEST IMAGES; TRAINING IMAGE; VISUAL BOW REPRESENTATION; VISUAL CONTENT; VISUAL FEATURE;

EID: 84871396858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2393418     Document Type: Conference Paper
Times cited : (17)

References (31)
  • 1
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • A. Beck and M. Teboulle. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2(1):183-202, 2009.
    • (2009) SIAM Journal on Imaging Sciences , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 3
    • 80053139009 scopus 로고    scopus 로고
    • Smoothing proximal gradient method for general structured sparse learning
    • X. Chen, Q. Lin, S. Kim, J. G. Carbonell, and E. P. Xing. Smoothing proximal gradient method for general structured sparse learning. In UAI, pages 105-114, 2011.
    • (2011) UAI , pp. 105-114
    • Chen, X.1    Lin, Q.2    Kim, S.3    Carbonell, J.G.4    Xing, E.P.5
  • 5
    • 84937572644 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
    • P. Duygulu, K. Barnard, N. de Freitas, and D. Forsyth. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In ECCV, pages 97-112, 2002.
    • (2002) ECCV , pp. 97-112
    • Duygulu, P.1    Barnard, K.2    De Freitas, N.3    Forsyth, D.4
  • 7
    • 5044225521 scopus 로고    scopus 로고
    • Multiple Bernoulli relevance models for image and video annotation
    • S. Feng, R. Manmatha, and V. Lavrenko. Multiple Bernoulli relevance models for image and video annotation. In CVPR, volume 2, pages 1002-1009, 2004.
    • (2004) CVPR , vol.2 , pp. 1002-1009
    • Feng, S.1    Manmatha, R.2    Lavrenko, V.3
  • 8
    • 77955655063 scopus 로고    scopus 로고
    • Semi-supervised learning in gigantic image collections
    • R. Fergus, Y. Weiss, and A. Torralba. Semi-supervised learning in gigantic image collections. In NIPS 22, pages 522-530, 2010.
    • (2010) NIPS , vol.22 , pp. 522-530
    • Fergus, R.1    Weiss, Y.2    Torralba, A.3
  • 9
    • 80052898718 scopus 로고    scopus 로고
    • Multi-layer group sparse coding - For concurrent image classification and annotation
    • S. Gao, L.-T. Chia, and I.-H. Tsang. Multi-layer group sparse coding - for concurrent image classification and annotation. In CVPR, pages 2809 -2816, 2011.
    • (2011) CVPR , pp. 2809-2816
    • Gao, S.1    Chia, L.-T.2    Tsang, I.-H.3
  • 10
    • 77953202699 scopus 로고    scopus 로고
    • TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation
    • M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid. TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. In ICCV, pages 309-316, 2009.
    • (2009) ICCV , pp. 309-316
    • Guillaumin, M.1    Mensink, T.2    Verbeek, J.3    Schmid, C.4
  • 11
    • 78049422927 scopus 로고    scopus 로고
    • Image annotation by sparse logistic regression
    • S. He and J. Jia. Image annotation by sparse logistic regression. In PCM, pages 22-30, 2010.
    • (2010) PCM , pp. 22-30
    • He, S.1    Jia, J.2
  • 12
    • 70450194789 scopus 로고    scopus 로고
    • Vocabulary hierarchy optimization for effective and transferable retrieval
    • R. Ji, X. Xie, H. Yao, and W.-Y. Ma. Vocabulary hierarchy optimization for effective and transferable retrieval. In CVPR, pages 1161-1168, 2009.
    • (2009) CVPR , pp. 1161-1168
    • Ji, R.1    Xie, X.2    Yao, H.3    Ma, W.-Y.4
  • 13
    • 33845583962 scopus 로고    scopus 로고
    • Correlated label propagation with application to multi-label learning
    • F. Kang, R. Jin, and R. Sukthankar. Correlated label propagation with application to multi-label learning. In CVPR, volume 2, pages 1719-1726, 2006.
    • (2006) CVPR , vol.2 , pp. 1719-1726
    • Kang, F.1    Jin, R.2    Sukthankar, R.3
  • 14
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, pages 2169-2178, 2006.
    • (2006) CVPR , pp. 2169-2178
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 15
    • 53549116749 scopus 로고    scopus 로고
    • Image annotation via graph learning
    • J. Liu, M. Li, Q. Liu, H. Lu, and S. Ma. Image annotation via graph learning. Pattern Recognition, 42(2):218-228, 2009.
    • (2009) Pattern Recognition , vol.42 , Issue.2 , pp. 218-228
    • Liu, J.1    Li, M.2    Liu, Q.3    Lu, H.4    Ma, S.5
  • 16
    • 79957531535 scopus 로고    scopus 로고
    • Contextual kernel and spectral methods for learning the semantics of images
    • Z. Lu, H. Ip, and Y. Peng. Contextual kernel and spectral methods for learning the semantics of images. IEEE Trans. Image Processing, 20(6):1739-1750, 2011.
    • (2011) IEEE Trans. Image Processing , vol.20 , Issue.6 , pp. 1739-1750
    • Lu, Z.1    Ip, H.2    Peng, Y.3
  • 17
    • 84856661234 scopus 로고    scopus 로고
    • Spectral learning of latent semantics for action recognition
    • Z. Lu, Y. Peng, and H. Ip. Spectral learning of latent semantics for action recognition. In ICCV, pages 1503-1510, 2011.
    • (2011) ICCV , pp. 1503-1510
    • Lu, Z.1    Peng, Y.2    Ip, H.3
  • 18
    • 56749168888 scopus 로고    scopus 로고
    • A new baseline for image annotation
    • A. Makadia, V. Pavlovic, and S. Kumar. A new baseline for image annotation. In ECCV, pages 316-329, 2008.
    • (2008) ECCV , pp. 316-329
    • Makadia, A.1    Pavlovic, V.2    Kumar, S.3
  • 19
    • 77955997112 scopus 로고    scopus 로고
    • Online visual vocabulary pruning using pairwise constraints
    • P. Mallapragada, R. Jin, and A. Jain. Online visual vocabulary pruning using pairwise constraints. In CVPR, pages 3073-3080, 2010.
    • (2010) CVPR , pp. 3073-3080
    • Mallapragada, P.1    Jin, R.2    Jain, A.3
  • 22
    • 79952947989 scopus 로고    scopus 로고
    • Learning visual contexts for image annotation from Flickr groups
    • A. Ulges, M. Worring, and T. Breuel. Learning visual contexts for image annotation from Flickr groups. IEEE Trans. Multimedia, 13(2):330-341, 2011.
    • (2011) IEEE Trans. Multimedia , vol.13 , Issue.2 , pp. 330-341
    • Ulges, A.1    Worring, M.2    Breuel, T.3
  • 23
    • 34547216770 scopus 로고    scopus 로고
    • Image annotation refinement using random walk with restarts
    • C. Wang, F. Jing, L. Zhang, and H.-J. Zhang. Image annotation refinement using random walk with restarts. In ACM MM, pages 647-650, 2006.
    • (2006) ACM MM , pp. 647-650
    • Wang, C.1    Jing, F.2    Zhang, L.3    Zhang, H.-J.4
  • 24
    • 70450196280 scopus 로고    scopus 로고
    • Multi-label sparse coding for automatic image annotation
    • C. Wang, S. Yan, L. Zhang, and H.-J. Zhang. Multi-label sparse coding for automatic image annotation. In CVPR, pages 1643-1650, 2009.
    • (2009) CVPR , pp. 1643-1650
    • Wang, C.1    Yan, S.2    Zhang, L.3    Zhang, H.-J.4
  • 25
    • 61549128441 scopus 로고    scopus 로고
    • Robust face recognition via sparse representation
    • J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE Trans. PAMI, 31(2):210-227, 2009.
    • (2009) IEEE Trans. PAMI , vol.31 , Issue.2 , pp. 210-227
    • Wright, J.1    Yang, A.2    Ganesh, A.3    Sastry, S.4    Ma, Y.5
  • 26
    • 78650979494 scopus 로고    scopus 로고
    • Multi-label boosting for image annotation by structural grouping sparsity
    • F. Wu, Y. Han, Q. Tian, and Y. Zhuang. Multi-label boosting for image annotation by structural grouping sparsity. In ACM MM, pages 15-24, 2010.
    • (2010) ACM MM , pp. 15-24
    • Wu, F.1    Han, Y.2    Tian, Q.3    Zhuang, Y.4
  • 27
    • 77953694643 scopus 로고    scopus 로고
    • Semantics-preserving bag-of-words models and applications
    • L. Wu, S. Hoi, and N. Yu. Semantics-preserving bag-of-words models and applications. IEEE Trans. Image Processing, 19(7):1908-1920, 2010.
    • (2010) IEEE Trans. Image Processing , vol.19 , Issue.7 , pp. 1908-1920
    • Wu, L.1    Hoi, S.2    Yu, N.3
  • 28
    • 70450161440 scopus 로고    scopus 로고
    • A revisit of generative model for automatic image annotation using Markov random fields
    • Y. Xiang, X. Zhou, T.-S. Chua, and C.-W. Ngo. A revisit of generative model for automatic image annotation using Markov random fields. In CVPR, pages 1153-1160, 2009.
    • (2009) CVPR , pp. 1153-1160
    • Xiang, Y.1    Zhou, X.2    Chua, T.-S.3    Ngo, C.-W.4
  • 29
    • 77955998281 scopus 로고    scopus 로고
    • Automatic image annotation using group sparsity
    • S. Zhang, J. Huang, Y. Huang, Y. Yu, H. Li, and D. Metaxas. Automatic image annotation using group sparsity. In CVPR, pages 3312 -3319, 2010.
    • (2010) CVPR , pp. 3312-3319
    • Zhang, S.1    Huang, J.2    Huang, Y.3    Yu, Y.4    Li, H.5    Metaxas, D.6
  • 30
    • 84899006908 scopus 로고    scopus 로고
    • Learning with local and global consistency
    • D. Zhou, O. Bousquet, T. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In NIPS 16, pages 321-328, 2004.
    • (2004) NIPS , vol.16 , pp. 321-328
    • Zhou, D.1    Bousquet, O.2    Lal, T.3    Weston, J.4    Schölkopf, B.5
  • 31
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using Gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using Gaussian fields and harmonic functions. In ICML, pages 912-919, 2003.
    • (2003) ICML , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.