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Volumn 116, Issue 1, 2012, Pages 68-85

Images as sets of locally weighted features

Author keywords

Bag of visual words; Image categorisation; Saliency estimation

Indexed keywords

BAG-OF-VISUAL-WORDS; COMPUTATIONAL COSTS; DATA SETS; ESTIMATION METHODS; FISHER KERNELS; GAZE TRACKING; GENERIC FRAMEWORKS; IMAGE CATEGORISATION; LOCAL FEATURE; MOUSE CLICKS; MULTIPLE SAMPLING; PERFORMANCE IMPROVEMENTS; SALIENCY MAP; VISUAL FEATURE; WEIGHT FACTOR; WEIGHTED FEATURES;

EID: 81355124124     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2011.07.011     Document Type: Article
Times cited : (24)

References (65)
  • 3
    • 62649143331 scopus 로고    scopus 로고
    • Saliency, attention, and visual search: An information theoretic approach
    • 5
    • N.D. Bruce, and J.K. Tsotsos Saliency, attention, and visual search: an information theoretic approach Journal of Vision 9 3 2009 1 24 5
    • (2009) Journal of Vision , vol.9 , Issue.3 , pp. 1-24
    • Bruce, N.D.1    Tsotsos, J.K.2
  • 5
    • 0012076324 scopus 로고    scopus 로고
    • Eigenfaces versus eigeneyes: First steps toward performance assessment of representations for face recognition
    • Acapulco, Mexico
    • T. de Campos, R. Feris, R. Cesar, Eigenfaces versus eigeneyes: first steps toward performance assessment of representations for face recognition, in: MICAI, LNCS, vol. 1793, pp. 197-206. Acapulco, Mexico, 2000.
    • (2000) MICAI, LNCS , vol.1793 , pp. 197-206
    • De Campos, T.1    Feris, R.2    Cesar, R.3
  • 9
    • 84898449199 scopus 로고    scopus 로고
    • A simple high performance approach to semantic segmentation
    • G. Csurka, F. Perronnin, A simple high performance approach to semantic segmentation, In: BMVC, 2008.
    • (2008) BMVC
    • Csurka, G.1    Perronnin, F.2
  • 10
    • 56849086466 scopus 로고    scopus 로고
    • Objects predict fixations better than early saliency
    • W. Einhäuser, M. Spain, and P. Perona Objects predict fixations better than early saliency Journal of Vision 8 14:18 2008 1 26 < http://journalofvision.org/8/14/18/
    • (2008) Journal of Vision , vol.8 , Issue.14-18 , pp. 1-26
    • Einhäuser, W.1    Spain, M.2    Perona, P.3
  • 17
    • 39749136581 scopus 로고    scopus 로고
    • What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition
    • T. Foulsham, and G. Underwood What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition Journal of Vision 8 2 2008 1 17
    • (2008) Journal of Vision , vol.8 , Issue.2 , pp. 1-17
    • Foulsham, T.1    Underwood, G.2
  • 22
    • 0034003645 scopus 로고    scopus 로고
    • A saliency-based search mechanism for overt and covert shifts of visual attention
    • DOI 10.1016/S0042-6989(99)00163-7, PII S0042698999001637
    • L. Itti, and C. Koch A saliency-based search mechanism for overt and covert shifts of visual attention Vision Research 40 2000 1489 1506 (Pubitemid 30216462)
    • (2000) Vision Research , vol.40 , Issue.10-12 , pp. 1489-1506
    • Itti, L.1    Koch, C.2
  • 26
    • 0035507681 scopus 로고    scopus 로고
    • Scale, saliency and image description
    • T. Kadir, and M. Brady Scale, saliency and image description IJCV 45 2 2001 83 105
    • (2001) IJCV , vol.45 , Issue.2 , pp. 83-105
    • Kadir, T.1    Brady, M.2
  • 27
    • 63549093076 scopus 로고    scopus 로고
    • "I look in your eyes, honey": Internal face features induce spatial frequency preference for human face processing
    • M.S. Keil "I look in your eyes, honey": internal face features induce spatial frequency preference for human face processing PLoS Computational Biology 5 3 2009
    • (2009) PLoS Computational Biology , vol.5 , Issue.3
    • Keil, M.S.1
  • 28
    • 84864044921 scopus 로고    scopus 로고
    • A nonparametric approach to bottom-up visual saliency
    • W. Kienzle, F.A. Wichmann, B. Schölkopf, M.O. Franz, A nonparametric approach to bottom-up visual saliency, in: Proc. of the Neural Information Processing Systems (NIPS), 2007, pp. 689-698.
    • (2007) Proc. of the Neural Information Processing Systems (NIPS) , pp. 689-698
    • W. Kienzle1
  • 30
    • 21244437589 scopus 로고    scopus 로고
    • Sparse multimodal logistic regression: Fast algorithms and generalization bounds
    • B. Krishnapuram, L. Carin, M. Figueiredo, and A. Hastemink Sparse multimodal logistic regression: fast algorithms and generalization bounds IEEE PAMI 27 6 2005
    • (2005) IEEE PAMI , vol.27 , Issue.6
    • Krishnapuram, B.1    Carin, L.2    Figueiredo, M.3    Hastemink, A.4
  • 31
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D.G. Lowe Distinctive image features from scale-invariant keypoints IJCV 60 2 2004
    • (2004) IJCV , vol.60 , Issue.2
    • Lowe, D.G.1
  • 32
    • 77953210642 scopus 로고    scopus 로고
    • A framework for visual saliency detection with applications to image thumbnailing
    • Kyoto, Japan, September 29-October 2
    • L. Marchesotti, C. Cifarelli, G. Csurka, A framework for visual saliency detection with applications to image thumbnailing, in: Proc. 12th Int. Conf. on Computer Vision, Kyoto, Japan, September 29-October 2, 2009.
    • (2009) Proc. 12th Int. Conf. on Computer Vision
    • Marchesotti, L.1    Cifarelli, C.2    Csurka, G.3
  • 33
    • 9644260534 scopus 로고    scopus 로고
    • Scale and affine invariant interest point detectors
    • K. Mikolajczyk, and C. Schmid Scale and affine invariant interest point detectors IJCV 60 1 2004
    • (2004) IJCV , vol.60 , Issue.1
    • Mikolajczyk, K.1    Schmid, C.2
  • 34
    • 27644547620 scopus 로고    scopus 로고
    • A performance evaluation of local descriptors
    • K. Mikolajczyk, and C. Schmid A performance evaluation of local descriptors IEEE PAMI 27 10 2005
    • (2005) IEEE PAMI , vol.27 , Issue.10
    • Mikolajczyk, K.1    Schmid, C.2
  • 37
    • 33846249191 scopus 로고    scopus 로고
    • Sampling strategies for bag-of-features image classification
    • E. Nowak, F. Jurie, W. Triggs, Sampling strategies for bag-of-features image classification, in: ECCV, 2006.
    • (2006) ECCV
    • Nowak, E.1    Jurie, F.2    Triggs, W.3
  • 39
    • 77953221554 scopus 로고    scopus 로고
    • Determining patch saliency using low-level context
    • D. Parikh, C. Lawrence Zitnick, T. Chen, Determining patch saliency using low-level context, in: ECCV, 2008.
    • (2008) ECCV
    • Parikh, D.1    Lawrence Zitnick, C.2    Chen, T.3
  • 41
    • 34948815101 scopus 로고    scopus 로고
    • Fisher kernel on visual vocabularies for image categorization
    • F. Perronnin, C. Dance, Fisher kernel on visual vocabularies for image categorization, in: CVPR, 2007.
    • (2007) CVPR
    • Perronnin, F.1    Dance, C.2
  • 42
    • 78149348137 scopus 로고    scopus 로고
    • Improving the fisher kernel for large-scale image classification
    • Crete, Greece, September 5-11
    • F. Perronnin, J. Sánchez, T. Mensink, Improving the fisher kernel for large-scale image classification, in: Proc. 11th European Conf. on Computer Vision, vol. 4, Crete, Greece, September 5-11, 2010, pp. 143-156.
    • (2010) Proc. 11th European Conf. on Computer Vision , vol.4 , pp. 143-156
    • F. Perronnin1
  • 43
  • 46
    • 0345414182 scopus 로고    scopus 로고
    • Video Google: A text retrieval approach to object matching in videos
    • J. Sivic, A. Zisserman, Video Google: A text retrieval approach to object matching in videos, in: ICCV, 2003.
    • (2003) ICCV
    • Sivic, J.1    Zisserman, A.2
  • 47
    • 33751056901 scopus 로고    scopus 로고
    • Attention based similarity
    • F.W.M. Stentiford Attention based similarity Pattern Recognition 40 3 2007 771 783
    • (2007) Pattern Recognition , vol.40 , Issue.3 , pp. 771-783
    • Stentiford, F.W.M.1
  • 51
    • 36448979181 scopus 로고    scopus 로고
    • The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions
    • B.W. Tatler The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions Journal of Vision 7 14:4 2007 1 17
    • (2007) Journal of Vision , vol.7-14 , Issue.4 , pp. 1-17
    • Tatler, B.W.1
  • 53
    • 33750341577 scopus 로고    scopus 로고
    • Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search
    • DOI 10.1037/0033-295X.113.4.766
    • A. Torralba, A. Oliva, M. Castelhano, and J. Henderson Contextual guidance of eye movements and attention in real-world scenes: the role of global features on object search Psychological Review 113 4 2006 766 786 (Pubitemid 44629917)
    • (2006) Psychological Review , vol.113 , Issue.4 , pp. 766-786
    • Torralba, A.1    Oliva, A.2    Castelhano, M.S.3    Henderson, J.M.4
  • 56
    • 0345414114 scopus 로고    scopus 로고
    • Object recognition with informative features and linear classification
    • M. Vidal-Naquet, S. Ullman, Object recognition with informative features and linear classification, in: ICCV, 2003.
    • (2003) ICCV
    • Vidal-Naquet, M.1    Ullman, S.2
  • 59
    • 33750684017 scopus 로고    scopus 로고
    • Modeling attention to salient proto-objects
    • DOI 10.1016/j.neunet.2006.10.001, PII S0893608006002152
    • D. Walther, and C. Koch Modeling attention to salient proto-objects Neural Networks 19 2006 1395 1407 (Pubitemid 44708603)
    • (2006) Neural Networks , vol.19 , Issue.9 , pp. 1395-1407
    • Walther, D.1    Koch, C.2
  • 60
    • 77953177673 scopus 로고    scopus 로고
    • Joint learning of visual attributes, object classes and visual saliency
    • Kyoto, Japan, September 29-October 2
    • G. Wang, D. Forsyth, Joint learning of visual attributes, object classes and visual saliency, in: Proc. 12th Int. Conf. on Computer Vision, Kyoto, Japan, September 29-October 2, 2009.
    • (2009) Proc. 12th Int. Conf. on Computer Vision
    • Wang, G.1    Forsyth, D.2
  • 62
    • 51449118807 scopus 로고    scopus 로고
    • A two-stage approach to saliency detection in images
    • Z. Wang, B. Li, A two-stage approach to saliency detection in images, in: ICASSP, 2008.
    • (2008) ICASSP
    • Wang, Z.1    Li, B.2
  • 63
    • 33745913325 scopus 로고    scopus 로고
    • Object categorization by learned universal visual dictionary
    • Beijing, China, October 15-21
    • J. Winn, A. Criminisi, T. Minka, Object categorization by learned universal visual dictionary, in: Proc. 10th Int. Conf. on Computer Vision, Beijing, China, October 15-21, 2005.
    • (2005) Proc. 10th Int. Conf. on Computer Vision
    • Winn, J.1    Criminisi, A.2    Minka, T.3
  • 64
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • J. Zhang, M. Marszałek, S. Lazebnik, and C. Schmid Local features and kernels for classification of texture and object categories: a comprehensive study IJCV 73 2 2007
    • (2007) IJCV , vol.73 , Issue.2
    • Zhang, J.1    Marszałek, M.2    Lazebnik, S.3    Schmid, C.4
  • 65
    • 80052886214 scopus 로고    scopus 로고
    • Image classification using super-vector coding of local image descriptors
    • Crete, Greece, September 5-11
    • X. Zhou, K. Yu, T. Zhang, T.S. Huang, Image classification using super-vector coding of local image descriptors, in: Proc. 11th European Conf. on Computer Vision, Crete, Greece, September 5-11, 2010.
    • (2010) Proc. 11th European Conf. on Computer Vision
    • Zhou, X.1    Yu, K.2    Zhang, T.3    Huang, T.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.