A bio-inspired center-surround model for salience computation in images
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[1] Gert Kootstra,et al. Predicting Eye Fixations on Complex Visual Stimuli Using Local Symmetry , 2011, Cognitive Computation.
[2] Ali Borji,et al. Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study , 2013, IEEE Transactions on Image Processing.
[3] Nicolas Riche,et al. Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics , 2013, 2013 IEEE International Conference on Computer Vision.
[4] John K. Tsotsos,et al. Saliency Based on Information Maximization , 2005, NIPS.
[5] Nuno Vasconcelos,et al. On the plausibility of the discriminant center-surround hypothesis for visual saliency. , 2008, Journal of vision.
[6] L. Itti,et al. Mechanisms of top-down attention , 2011, Trends in Neurosciences.
[7] Kuan-Man Xu,et al. Using the Bootstrap Method for a Statistical Significance Test of Differences between Summary Histograms , 2006 .
[8] Martin D. Levine,et al. Visual Saliency Based on Scale-Space Analysis in the Frequency Domain , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Christof Koch,et al. Image Signature: Highlighting Sparse Salient Regions , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Liqing Zhang,et al. Saliency Detection: A Spectral Residual Approach , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[11] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.
[12] John K. Tsotsos,et al. Saliency, attention, and visual search: an information theoretic approach. , 2009, Journal of vision.
[13] J. Daugman. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[14] Antón García-Díaz,et al. Saliency from hierarchical adaptation through decorrelation and variance normalization , 2012, Image Vis. Comput..
[15] E. Lehmann. Testing Statistical Hypotheses , 1960 .
[16] F. Scharnowski,et al. Long-lasting modulation of feature integration by transcranial magnetic stimulation. , 2009, Journal of vision.
[17] Chuan Yi Tang,et al. A 2.|E|-Bit Distributed Algorithm for the Directed Euler Trail Problem , 1993, Inf. Process. Lett..
[18] Iain D. Gilchrist,et al. Visual correlates of fixation selection: effects of scale and time , 2005, Vision Research.
[19] Marko Tscherepanow,et al. A random center surround bottom up visual attention model useful for salient region detection , 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).
[20] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[21] Pietro Perona,et al. Graph-Based Visual Saliency , 2006, NIPS.
[22] R. Tibshirani,et al. An introduction to the bootstrap , 1993 .
[23] Christof Koch,et al. Feature combination strategies for saliency-based visual attention systems , 2001, J. Electronic Imaging.
[24] Nicolas Riche,et al. Rare: A new bottom-up saliency model , 2012, 2012 19th IEEE International Conference on Image Processing.
[25] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[26] S. W. Kuffler. Discharge patterns and functional organization of mammalian retina. , 1953, Journal of neurophysiology.
[27] R. W. Rodieck,et al. Analysis of receptive fields of cat retinal ganglion cells. , 1965, Journal of neurophysiology.
[28] Nuno Vasconcelos,et al. Bottom-up saliency is a discriminant process , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[29] Nicolas Riche,et al. RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis , 2013, Signal Process. Image Commun..
[30] Weisi Lin,et al. Integrating visual saliency and consistency for re-ranking image search results , 2011, 2010 IEEE International Conference on Image Processing.
[31] Antonio Torralba,et al. Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. , 2006, Psychological review.
[32] Liqing Zhang,et al. Dynamic visual attention: searching for coding length increments , 2008, NIPS.
[33] L. Zhaoping. Attention capture by eye of origin singletons even without awareness--a hallmark of a bottom-up saliency map in the primary visual cortex. , 2008, Journal of vision.
[34] S. Süsstrunk,et al. Frequency-tuned salient region detection , 2009, CVPR 2009.
[35] Tim K Marks,et al. SUN: A Bayesian framework for saliency using natural statistics. , 2008, Journal of vision.
[36] Lihi Zelnik-Manor,et al. Context-Aware Saliency Detection , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[37] Peyman Milanfar,et al. Nonparametric bottom-up saliency detection by self-resemblance , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[38] Frédo Durand,et al. A Benchmark of Computational Models of Saliency to Predict Human Fixations , 2012 .
[39] M. Alexander,et al. Principles of Neural Science , 1981 .
[40] Peyman Milanfar,et al. Static and space-time visual saliency detection by self-resemblance. , 2009, Journal of vision.
[41] David Marr,et al. VISION A Computational Investigation into the Human Representation and Processing of Visual Information , 2009 .
[42] Bu-Sung Lee,et al. Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum , 2012, IEEE Transactions on Multimedia.