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How best to evaluate a saliency model's ability to predict where humans look in images is an open research question.
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Content-based image retrieval at the end of the early years
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Perceptual metrics for image database navigation
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Stylization and abstraction of photographs
D. DeCarlo and A. Santella · 2002
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Modeling the role of salience in the allocation of overt visual attention
D. Parkhurst, K. Law, and E. Niebur · 2002
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High-level aspects of oculomotor control during viewing of natural-task images
R. L. Canosa, J. Pelz, N. R. Mennie, and J. Peak · 2003
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Does luminance-contrast contribute to a saliency for overt visual attention?
W. Einhäuser and P. Konig · 2003
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Scene content selected by active vision
D. J. Parkhurst and E. Niebur · 2003
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Automatic thumbnail cropping and its effectiveness
B. Suh, H. Ling, B. B. Bederson, and D. W. Jacobs · 2003
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Foveation scalable video coding with automatic fixation selection
Z. Wang, L. Lu, and A. C. Bovik · 2003
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Image registration methods: a survey
B. Zitova and J. Flusser · 2003
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Automatic foveation for video compression using a neurobiological model of visual attention
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An information maximization model of eye movements
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On the efficient evaluation of probabilistic similarity functions for image retrieval
N. Vasconcelos · 2004
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A generic framework of user attention model and its application in video summarization
Y-F Ma, X-S Hua, L. Lu, and H-J Zhan · 2005
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Components of bottom-up gaze allocation in natural images
R. J. Peters, A. Iyer, L. Itti, and C. Koch · 2005
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Visual correlates of fixation selection: effects of scale and time
B. W. Tatler, R. J. Baddeley, and I. D. Gilchrist · 2005
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Saliency based on information maximization
N. Bruce and J. Tsotsos · 2006
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An introduction to ROC analysis
T. Fawcett · 2006
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Graph-based visual saliency
J. Harel, C. Koch, and P. Perona · 2006
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Bayesian surprise attracts human attention
L. Itti and P. F. Baldi · 2006
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Saliency-guided enhancement for volume visualization
Y. Kim and A. Varshney · 2006
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A coherent computational approach to model bottom-up visual attention
O. Le Meur, P. Le Callet, D. Barba, and D. Thoreau · 2006
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A GPU based saliency map for high-fidelity selective rendering
P. Longhurst, K. Debattista, and A. Chalmers · 2006
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An integrated model of top-down and bottom-up attention for optimizing detection speed
V. Navalpakkam and L. Itti · 2006
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Gaze-based interaction for semi-automatic photo cropping
A. Santella, M. Agrawala, D. DeCarlo, D. Salesin, and M. Cohen · 2006
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Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search
A. Torralba, A. Oliva, M. S. Castelhano, and J. M. Henderson · 2006
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Modeling attention to salient proto-objects
D. Walther and C. Koch · 2006
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Picture collage
J. Wang, L. Quan, J. Sun, X. Tang, and H-Y Shum · 2006
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Seam carving for content-aware image resizing
S. Avidan and A. Shamir · 2007
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Simultaneous robot localization and mapping based on a visual attention system
S. Frintrop, P. Jensfelt, and H. Christensen · 2007
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Scene recognition through visual attention and image features: A comparison between sift and surf approaches
F. Lopez-Garcia, X. Ramon Fdez-Vidal, X. Manuel Pardo, and R. Dosil · 2011
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Computational versus psychophysical bottom-up image saliency: A comparative evaluation study
A. Toet · 2011
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Saliency-driven scaling optimization for image retargeting
D. Wang, G. Li, W. Jia, and X. Luo · 2011
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Measures and limits of models of fixation selection
N. Wilming, T. Betz, T. C. Kietzmann, and P. König · 2011
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Learning a saliency map using fixated locations in natural scenes
Q. Zhao and C. Koch · 2011
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Quantitative analysis of human-model agreement in visual saliency modeling: a comparative study
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The discriminant center-surround hypothesis for bottom-up saliency
D. Gao, V. Mahadevan, and N. Vasconcelos · 2007
Cited alongside, same era.
Learning to detect a salient object
T. Liu, J. Sun, N.-N. Zheng, X. Tang, and H.-Y. Shum · 2007
Cited alongside, same era.
A survey of content-based image retrieval with high-level semantics
Y. Liu, D. Zhang, G. Lu, and W.-Y. Ma · 2007
Cited alongside, same era.
Predicting visual fixations on video based on low-level visual features
O. Le Meur, P. Le Callet, and D. Barba · 2007
Cited alongside, same era.
The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions
B. W. Tatler · 2007
Cited alongside, same era.
Salient region detection and segmentation
R. Achanta, F. Estrada, P. Wils, and S. Susstrunk · 2008
Cited alongside, same era.
A. Borji, D. N. Sihite, and L. Itti · 2012
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A benchmark of computational models of saliency to predict human fixations
T. Judd, F. Durand, and A. Torralba · 2012
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Visual saliency based on scale-space analysis in the frequency domain
J. Li, M. D. Levine, X. An, X. Xu, and H. He · 2012
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State-of-the-art in visual attention modeling
A. Borji and L. Itti · 2013
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Quantitative analysis of human-model agreement in visual saliency modeling: a comparative study
A. Borji, D. N. Sihite, and L. Itti · 2013
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Analysis of scores, datasets, and models in visual saliency prediction
A. Borji, H. R. Tavakoli, D. N. Sihite, and L. Itti · 2013
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Selection of a best metric and evaluation of bottom-up visual saliency models
M. Emami and L. L. Hoberock · 2013
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Comparative study of fixation density maps
U. Engelke, H. Liu, J. Wang, P. Le Callet, I. Heynderickx, H-J Zepernick, and A. Maeder · 2013
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Visual saliency estimation by nonlinearly integrating features using region covariances
E. Erdem and A. Erdem · 2013
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Methods for comparing scanpaths and saliency maps: strengths and weaknesses
O. Le Meur and T. Baccino · 2013
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Saliency and human fixations: State-of-the-art and study of comparison metrics
N. Riche, M. Duvinage, M. Mancas, B. Gosselin, and T. Dutoit · 2013
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A study of distance metrics in histogram based image retrieval
A. K. Sinha and K.K. Shukla · 2013
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Overt fixations reflect a natural central bias
C. Wloka and J.K. Tsotsos · 2013
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Studying relationships between human gaze, description, and computer vision
K. Yun, Y. Peng, D. Samaras, G. J. Zelinsky, and T. Berg · 2013
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Deriving an appropriate baseline for describing fixation behaviour
A. D. F. Clarke and B. W. Tatler · 2014
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How close are we to understanding image-based saliency?
M. Kümmerer, T. Wallis, and M. Bethge · 2014
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How to evaluate foreground maps?
R. Margolin, L. Zelnik-Manor, and A. Tal · 2014
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On computational modeling of visual saliency: Examining what’s right, and what’s left
N. D. B. Bruce, C. Wloka, N. Frosst, S. Rahman, and J. K. Tsotsos · 2015
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Towards the quantitative evaluation of visual attention models
Z Bylinskii, E. M. DeGennaro, R Rajalingham, H Ruda, J Zhang, and J. K. Tsotsos · 2015
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Salicon: Saliency in context
M. Jiang, S. Huang, J. Duan, and Q. Zhao · 2015
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Information-theoretic model comparison unifies saliency metrics
M. Kümmerer, T. Wallis, and M. Bethge · 2015
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A data-driven metric for comprehensive evaluation of saliency models
J. Li, C. Xia, Y. Song, S. Fang, and X. Chen · 2015
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Where should saliency models look next?
Z. Bylinskii, A. Recasens, A. Borji, A. Oliva, A. Torralba, and F. Durand · 2016
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Large-scale scene understanding challenge: Saliency prediction
Princeton Vision Group, NUS VIP Lab, and Bethge Lab · 2016
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Supervised evaluation of image segmentation and object proposal techniques
J. Pont-Tuset and F. Marques · 2016
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Spatially binned roc: A comprehensive saliency metric
C. Wloka and J. Tsotsos · 2016
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