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Volumn , Issue , 2013, Pages 921-928

Analysis of scores, datasets, and models in visual saliency prediction

Author keywords

eye movements; model benchmarking; saliency; visual attention

Indexed keywords

FORECASTING;

EID: 84897056830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.118     Document Type: Conference Paper
Times cited : (237)

References (63)
  • 1
    • 84870220894 scopus 로고    scopus 로고
    • State-of-the-art in visual attention modeling
    • A. Borji and L. Itti. State-of-the-art in Visual Attention Modeling. PAMI, 2013.
    • (2013) PAMI
    • Borji, A.1    Itti, L.2
  • 3
    • 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. IEEE Trans. PAMI, 20(11):1254-1259, 1998.
    • (1998) IEEE Trans. PAMI , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 5
    • 0022388528 scopus 로고
    • Shifts in selective visual attention: Towards the underlying neural circuitry
    • C. Koch and S. Ullman. Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 1985.
    • (1985) Human Neurobiology
    • Koch, C.1    Ullman, S.2
  • 9
    • 84864068293 scopus 로고    scopus 로고
    • Bayesian surprise attracts human attention
    • L. Itti and P. Baldi. Bayesian surprise attracts human attention. NIPS, 2005.
    • (2005) NIPS
    • Itti, L.1    Baldi, P.2
  • 12
    • 70449568029 scopus 로고    scopus 로고
    • Dynamic visual attention: Searching for coding length increments
    • X. Hou and L. Zhang. Dynamic visual attention: Searching for coding length increments. NIPS, 2008.
    • (2008) NIPS
    • Hou, X.1    Zhang, L.2
  • 14
    • 77649273553 scopus 로고    scopus 로고
    • Esaliency (Extended Saliency): Meaningful attention using stochastic image modeling
    • T. Avraham, M. Lindenbaum. Esaliency (Extended Saliency): Meaningful attention using stochastic image modeling. PAMI, 2010.
    • (2010) PAMI
    • Avraham, T.1    Lindenbaum, M.2
  • 15
    • 72949100573 scopus 로고    scopus 로고
    • A novel multiresolution spatiotemporal saliency detection model and Its applications in image and video compression
    • C. Guo and L. Zhang. A novel multiresolution spatiotemporal saliency detection model and Its applications in image and video compression. IEEE Trans. on Image Processing, 2010.
    • (2010) IEEE Trans. on Image Processing
    • Guo, C.1    Zhang, L.2
  • 16
    • 70349153467 scopus 로고    scopus 로고
    • Biological plausibility of spectral domain approach for spatiotemporal visual saliency
    • P. Bian and L. Zhang. Biological plausibility of spectral domain approach for spatiotemporal visual saliency. LNCS, 2009.
    • (2009) LNCS
    • Bian, P.1    Zhang, L.2
  • 17
    • 70549106590 scopus 로고    scopus 로고
    • Decorrelation and distinctiveness provide with human-like saliency
    • A. Garcia-Diaz, X. R. Fdez-Vidal, X. M. Pardo, and R. Dosil. Decorrelation and distinctiveness provide with human-like saliency. ACIVS, 5807, 2009.
    • (2009) ACIVS , vol.5807
    • Garcia-Diaz, A.1    Fdez-Vidal, X.R.2    Pardo, X.M.3    Dosil, R.4
  • 18
    • 84878244333 scopus 로고    scopus 로고
    • Visual saliency based on conditional entropy
    • Y. Li, Y. Zhou, J. Yan, and J. Yang. Visual saliency based on conditional entropy. ACCV, 2009.
    • (2009) ACCV
    • Li, Y.1    Zhou, Y.2    Yan, J.3    Yang, J.4
  • 19
    • 84866682840 scopus 로고    scopus 로고
    • Visual saliency via sparsity rank decomposition
    • J. Yan, J. Liu, Y. Li, and Y. Liu. Visual saliency via sparsity rank decomposition. ICIP, 2010.
    • (2010) ICIP
    • Yan, J.1    Liu, J.2    Li, Y.3    Liu, Y.4
  • 21
    • 34548472194 scopus 로고    scopus 로고
    • Predicting visual fixations on video based on low-level visual features
    • O. Le Meur, P. Le Callet, and D. Barba. Predicting visual fixations on video based on low-level visual features. Vision Research, 47(19), 2007.
    • (2007) Vision Research , vol.47 , pp. 19
    • Le Meur, O.1    Le Callet, P.2    Barba, D.3
  • 22
    • 77950364024 scopus 로고    scopus 로고
    • Static and space-time visual saliency detection by self-resemblance
    • H.J. Seo and P. Milanfar. Static and space-time visual saliency detection by self-resemblance. Journal of Vision, 9:1-27, 2009.
    • (2009) Journal of Vision , vol.9 , pp. 1-27
    • Seo, H.J.1    Milanfar, P.2
  • 24
    • 33750684017 scopus 로고    scopus 로고
    • Modeling attention to salient proto-objects
    • D. Walther and C. Koch. Modeling attention to salient proto-objects. Neural Networks, 19(9):1395-1407, 2006.
    • (2006) Neural Networks , vol.19 , Issue.9 , pp. 1395-1407
    • Walther, D.1    Koch, C.2
  • 25
    • 84857277794 scopus 로고    scopus 로고
    • SUN: A Bayesian framework for saliency using natural statistics
    • L. Zhang, M. H. Tong, T. K. Marks, H. Shan, and G. W. Cottrell, SUN: A Bayesian framework for saliency using natural statistics. JOV, 2008.
    • (2008) JOV
    • Zhang, L.1    Tong, M.H.2    Marks, T.K.3    Shan, H.4    Cottrell, G.W.5
  • 26
    • 79955112208 scopus 로고    scopus 로고
    • Probabilistic multi-task learning for visual saliency estimation in video
    • J. Li, Y. Tian, T. Huang, and W. Gao. Probabilistic multi-task learning for visual saliency estimation in video. IJCV, 90(2):150-165, 2010.
    • (2010) IJCV , vol.90 , Issue.2 , pp. 150-165
    • Li, J.1    Tian, Y.2    Huang, T.3    Gao, W.4
  • 27
    • 0018878142 scopus 로고
    • A feature integration theory of attention
    • A.M. Treisman and G. Gelade. A feature integration theory of attention. Cognitive Psych., 12:97-136, 1980.
    • (1980) Cognitive Psych. , vol.12 , pp. 97-136
    • Treisman, A.M.1    Gelade, G.2
  • 28
    • 36448979181 scopus 로고    scopus 로고
    • The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor bases and image feature distributions
    • B.W. Tatler. The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor bases and image feature distributions. J. Vision, 14(7): 2007.
    • (2007) J. Vision , vol.14 , Issue.7
    • Tatler, B.W.1
  • 29
    • 84878011873 scopus 로고    scopus 로고
    • Methods for comparing scanpaths and saliency maps: Strengths and weaknesses
    • O. Le Meur and T. Baccino. Methods for comparing scanpaths and saliency maps: strengths and weaknesses. Behavioral Research, 2012.
    • (2012) Behavioral Research
    • Le Meur, O.1    Baccino, T.2
  • 30
    • 84867851908 scopus 로고    scopus 로고
    • Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study
    • A. Borji, D. N. Sihite, and L. Itti. Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study. IEEE Transactions on Image Processing, 2012.
    • (2012) IEEE Transactions on Image Processing
    • Borji, A.1    Sihite, D.N.2    Itti, L.3
  • 31
    • 0015117270 scopus 로고
    • Scanpaths in saccadic eye movements while viewing and recognizing patterns
    • D. Noton and L. Stark. Scanpaths in Saccadic Eye Movements While Viewing and Recognizing Patterns. Vision Research, 11, 929-942, 1971
    • (1971) Vision Research , vol.11 , pp. 929-942
    • Noton, D.1    Stark, L.2
  • 32
    • 0034269226 scopus 로고    scopus 로고
    • Algorithms for defining visual regions-of-interest: Comparison with eye fixations
    • C.M. Privitera and L. Stark. Algorithms for defining visual regions-of-interest: comparison with eye fixations. PAMI, 2000.
    • (2000) PAMI
    • Privitera, C.M.1    Stark, L.2
  • 33
    • 0034003645 scopus 로고    scopus 로고
    • A saliency-based search mechanism for overt and covert shifts of visual attention
    • L. Itti, L. 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, L.1    Koch, C.2
  • 34
    • 84871661176 scopus 로고    scopus 로고
    • Fast and efficient saliency detection using sparse sampling and kernel density estimation
    • H.R. Tavakoli, E. Rahtu, and J. Heikkil̈a. Fast and efficient saliency detection using sparse sampling and kernel density estimation. SCIA, 2011.
    • (2011) SCIA
    • Tavakoli, H.R.1    Rahtu, E.2    Heikkil̈a, J.3
  • 35
    • 85161958871 scopus 로고    scopus 로고
    • Predicting human gaze using low-level saliency combined with face detection
    • M. Cerf, J. Harel, W. Einḧauser, and C. Koch. Predicting human gaze using low-level saliency combined with face detection. NIPS, 2007.
    • (2007) NIPS
    • Cerf, M.1    Harel, J.2    Einḧauser, W.3    Koch, C.4
  • 36
    • 79957836414 scopus 로고    scopus 로고
    • Learning a saliency map using fixated locations in natural scenes
    • Q. Zhao and C. Koch. Learning a saliency map using fixated locations in natural scenes. Journal of Vision, 11(3), 2011.
    • (2011) Journal of Vision , vol.11 , Issue.3
    • Zhao, Q.1    Koch, C.2
  • 37
    • 65549107078 scopus 로고    scopus 로고
    • Discriminant saliency, the detection of suspicious coincidences and applications to visual recognition
    • D. Gao, S. Han, and N. Vasconcelos. Discriminant saliency, the detection of suspicious coincidences and applications to visual recognition. PAMI, 2009.
    • (2009) PAMI
    • Gao, D.1    Han, S.2    Vasconcelos, N.3
  • 38
    • 84866687480 scopus 로고    scopus 로고
    • Exploiting Local and Global Patch Rarities for Saliency Detection
    • A. Borji and L. Itti. Exploiting Local and Global Patch Rarities for Saliency Detection. CVPR, 2012.
    • (2012) CVPR
    • Borji, A.1    Itti, L.2
  • 39
    • 84866641899 scopus 로고    scopus 로고
    • Boosting bottom-up and top-down visual features for saliency estimation
    • A. Borji, Boosting Bottom-up and Top-down Visual Features for Saliency Estimation, CVPR, 2012.
    • (2012) CVPR
    • Borji, A.1
  • 40
    • 84874560046 scopus 로고    scopus 로고
    • Saliency detection via divergence analysis: A unified perspective
    • J. B. Huang and N. Ahuja, Saliency Detection via Divergence Analysis: A Unified Perspective, ICPR, 2012.
    • (2012) ICPR
    • Huang, J.B.1    Ahuja, N.2
  • 41
    • 84878629490 scopus 로고    scopus 로고
    • A benchmark of computational models of saliency to predict human fixations
    • T. Judd, F. Durand, and A. Torralba. A Benchmark of Computational Models of Saliency to Predict Human Fixations. MIT technical report, 2012.
    • (2012) MIT Technical Report
    • Judd, T.1    Durand, F.2    Torralba, A.3
  • 43
    • 81855172211 scopus 로고    scopus 로고
    • Image signature: Highlighting sparse salient regions
    • X. Hou, J. Harel, and C. Koch. Image Signature: Highlighting Sparse Salient Regions. PAMI, 2012.
    • (2012) PAMI
    • Hou, X.1    Harel, J.2    Koch, C.3
  • 44
    • 40549138099 scopus 로고    scopus 로고
    • Interesting objects are visually salient
    • L. Elazary and L. Itti, Interesting objects are visually salient, J. Vision, 2008.
    • (2008) J. Vision
    • Elazary, L.1    Itti, L.2
  • 45
    • 84862113641 scopus 로고    scopus 로고
    • Salience of the lambs: A test of the saliency map hypothesis with pictures of emotive objects
    • K. Humphrey, G. Underwood, and T. Lambert. Salience of the lambs: A test of the saliency map hypothesis with pictures of emotive objects, J. of vision, 2012.
    • (2012) J. of Vision
    • Humphrey, K.1    Underwood, G.2    Lambert, T.3
  • 47
    • 80052890815 scopus 로고    scopus 로고
    • Sali estimation using a non-parametric low-level vision model
    • N. Murray, M. Vanrell, X. Otazu, and C. A. Parraga. Saliency Estimation Using a Non-Parametric Low-Level Vision Model. CVPR, 2011.
    • (2011) CVPR
    • Murray, N.1    Vanrell, M.2    Otazu, X.3    Parraga, C.A.4
  • 52
    • 84893435949 scopus 로고    scopus 로고
    • Comparative evaluation of visual saliency models for quality assessment task, 6th Int
    • M.S. Gide and L.J. Karam. Comparative evaluation of visual saliency models for quality assessment task, 6th Int. Workshop on Video Processing, 2012.
    • (2012) Workshop on Video Processing
    • Gide, M.S.1    Karam, L.J.2
  • 53
    • 0014757386 scopus 로고
    • A general method applicable to the search for similarities in the amino acid sequence of two proteins
    • S.B. Needleman, C.D. Wunsch. A general method applicable to the search for similarities in the amino acid sequence of two proteins. Molecular Biology, 1970.
    • (1970) Molecular Biology
    • Needleman, S.B.1    Wunsch, C.D.2
  • 54
    • 84866646515 scopus 로고    scopus 로고
    • Probabilistic Learning of Task-Specific Visual Attention
    • A. Borji, D. N. Sihite, and L. Itti. Probabilistic Learning of Task-Specific Visual Attention, CVPR, 2012.
    • (2012) CVPR
    • Borji, A.1    Sihite, D.N.2    Itti, L.3
  • 57
    • 84859918194 scopus 로고    scopus 로고
    • Reconsidering Yarbus:A failure to predict observers' task from eye movement patterns
    • M.R. Greene, T. Liu, J.M. Wolfe, Reconsidering Yarbus: A failure to predict observers' task from eye movement patterns, Vision Research, 2012.
    • (2012) Vision Research
    • Greene, M.R.1    Liu, T.2    Wolfe, J.M.3
  • 59
    • 84898777920 scopus 로고    scopus 로고
    • Quaternion-based spectral saliency detection for eye fixation prediction
    • B. Schauerte and R. Stiefelhagen, Quaternion-based spectral saliency detection for eye fixation prediction, ECCV, 2012.
    • (2012) ECCV
    • Schauerte, B.1    Stiefelhagen, R.2
  • 60
    • 84878384522 scopus 로고    scopus 로고
    • Visual saliency estimation by nonlinearly integrating features using region covariances
    • E. Erdem and A. Erdem, Visual saliency estimation by nonlinearly integrating features using region covariances, Journal of Vision, 13:4, 1-20, 2013.
    • (2013) Journal of Vision , vol.13 , Issue.4 , pp. 1-20
    • Erdem, E.1    Erdem, A.2
  • 61
    • 79952645933 scopus 로고    scopus 로고
    • Object-based attentional selection in scene viewing
    • 20
    • A. Nuthmann and J. M. Henderson, Object-based attentional selection in scene viewing. Journal of Vision, 10(8):20, 1-19, 2010.
    • (2010) Journal of Vision , vol.10 , Issue.8 , pp. 1-19
    • Nuthmann, A.1    Henderson, J.M.2
  • 62
    • 84883040101 scopus 로고    scopus 로고
    • Objects do not predict fixations better than early saliency: A re-analysis of Einḧauser et al.'s data
    • A. Borji, D. N. Sihite, and L. Itti. Objects do not predict fixations better than early saliency: A re-analysis of Einḧauser et al.'s data, Journal of Vision, 2013.
    • (2013) Journal of Vision
    • Borji, A.1    Sihite, D.N.2    Itti, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.