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Volumn , Issue , 2009, Pages 2232-2239

A framework for visual saliency detection with applications to image thumbnailing

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE DATABASE; SALIENCY MAP; SIMILAR IMAGE; STATE-OF-THE-ART APPROACH; TARGET IMAGES; VISUAL APPEARANCE; VISUAL SALIENCY;

EID: 77953210642     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459467     Document Type: Conference Paper
Times cited : (335)

References (34)
  • 1
    • 36949030812 scopus 로고    scopus 로고
    • Seam carving for content-aware image resizing
    • S. Avidan and S. Avidan. Seam carving for content-aware image resizing. In SIGGRAPH, 2007.
    • (2007) SIGGRAPH
    • Avidan, S.1    Avidan, S.2
  • 2
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Y. Boykov and V. Kolmogorov. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. PAMI, 26, 2004.
    • (2004) PAMI , vol.26
    • Boykov, Y.1    Kolmogorov, V.2
  • 5
    • 70349832148 scopus 로고    scopus 로고
    • Trans-media pseudo-relevance feedback methods in multimedia retrieval
    • Advances in Multilingual and Multimodal Information Retrieval
    • S. Clinchant, J.-M. Renders, and G. Csurka. Trans-media pseudo-relevance feedback methods in multimedia retrieval. In Advances in Multilingual and Multimodal Information Retrieval, volume LNCS 5152, 2008.
    • (2008) LNCS , vol.5152
    • Clinchant, S.1    Renders, J.-M.2    Csurka, G.3
  • 7
    • 84898449199 scopus 로고    scopus 로고
    • A simple high performance approach to semantic segmentation
    • G. Csurka and F. Perronnin. A simple high performance approach to semantic segmentation. In BMVC, 2008.
    • (2008) BMVC
    • Csurka, G.1    Perronnin, F.2
  • 11
    • 79956010071 scopus 로고    scopus 로고
    • The discriminant center-surround hypothesis for bottom-up saliency
    • D. Gao, V. Mahadevan, and N. Vasconcelos. The discriminant center-surround hypothesis for bottom-up saliency. In NIPS, 2007.
    • (2007) NIPS
    • Gao, D.1    Mahadevan, V.2    Vasconcelos, N.3
  • 13
    • 35148814949 scopus 로고    scopus 로고
    • Saliency detection: A spectral. residual approach
    • X. Hou and L. Zhang. Saliency detection: A spectral. residual approach. In CVPR, 2007.
    • (2007) CVPR
    • Hou, X.1    Zhang, L.2
  • 14
    • 0034003645 scopus 로고    scopus 로고
    • A saliency-based search mechanism for overt and covert shifts of visual attention
    • L. Itti and C. Koch. A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research, 40, 2000.
    • (2000) Vision Research , vol.40
    • Itti, L.1    Koch, C.2
  • 15
    • 0035286497 scopus 로고    scopus 로고
    • Computational modeling of visual attention
    • L. Itti and C. Koch. Computational modeling of visual attention. Nature Reviews Neuroscience, 2(3), 2001.
    • (2001) Nature Reviews Neuroscience , vol.2 , Issue.3
    • Itti, L.1    Koch, C.2
  • 16
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. PAMI, 20(11), 1998.
    • (1998) PAMI , vol.20 , Issue.11
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 20
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
    • (2004) IJCV , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 22
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color and texture cues
    • D. R. Martin, C. C. Fowkles, and J. Malik. Learning to detect natural image boundaries using local brightness, color and texture cues. PAMI, 26(5), 2004.
    • (2004) PAMI , vol.26 , Issue.5
    • Martin, D.R.1    Fowkles, C.C.2    Malik, J.3
  • 23
    • 34948815101 scopus 로고    scopus 로고
    • Fisher kernels on visual vocabularies for image categorization
    • F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, 2007.
    • (2007) CVPR
    • Perronnin, F.1    Dance, C.2
  • 25
    • 84877632511 scopus 로고    scopus 로고
    • Grabcut: Interactive foreground extraction using iterated graph cuts
    • C. Rother, V. Kolmogorov, and A. Blake. Grabcut: Interactive foreground extraction using iterated graph cuts. In SIGRAPH, 2004.
    • (2004) SIGRAPH
    • Rother, C.1    Kolmogorov, V.2    Blake, A.3
  • 29
    • 51949116409 scopus 로고    scopus 로고
    • Summarizing visual data using bidirectional similarity
    • D. Simakov, Y. Caspi, E. Shechtman, and M. Irani. Summarizing visual data using bidirectional similarity. In CVPR, 2008.
    • (2008) CVPR
    • Simakov, D.1    Caspi, Y.2    Shechtman, E.3    Irani, M.4
  • 30
    • 0345414182 scopus 로고    scopus 로고
    • Video google: A text retrieval approach to object matching in videos
    • J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos. In ICCV, volume 2, pages 1470-1477, 2003.
    • (2003) ICCV , vol.2 , pp. 1470-1477
    • Sivic, J.1    Zisserman, A.2
  • 33
    • 51449118807 scopus 로고    scopus 로고
    • A two-stage approach to saliency detection in images
    • Z. Wang and B. Li. A two-stage approach to saliency detection in images. In ICASSP, 2008.
    • (2008) ICASSP
    • Wang, Z.1    Li, B.2
  • 34
    • 33845566162 scopus 로고    scopus 로고
    • Svm-knn: Discriminative nearest neighbor classification for visual category recognition
    • H. Zhang, A. C. Berg, M. Maire, and J. Malik. Svm-knn: Discriminative nearest neighbor classification for visual category recognition. In ICCV, 2006.
    • (2006) ICCV
    • Zhang, H.1    Berg, A.C.2    Maire, M.3    Malik, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.