Saliency computation via whitened frequency band selection

[1]  Zhi Liu,et al.  Segmentation Driven Low-rank Matrix Recovery for Saliency Detection , 2013, BMVC.

[2]  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.

[3]  Yael Pritch,et al.  Saliency filters: Contrast based filtering for salient region detection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  N. Mitra,et al.  Global contrast based salient region detection , 2011, CVPR 2011.

[5]  John K. Tsotsos,et al.  Fast, recurrent, attentional modulation improves saliency representation and scene recognition , 2011, CVPR 2011 WORKSHOPS.

[6]  Bin Wang,et al.  Bottom–up attention: pulsed PCA transform and pulsed cosine transform , 2011, Cognitive Neurodynamics.

[7]  Peng Bian,et al.  Visual saliency: a biologically plausible contourlet-like frequency domain approach , 2010, Cognitive Neurodynamics.

[8]  Frédo Durand,et al.  Learning to predict where humans look , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[9]  Loong Fah Cheong,et al.  Active segmentation with fixation , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[10]  Sabine Süsstrunk,et al.  Frequency-tuned salient region detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Nuno Vasconcelos,et al.  Saliency-based discriminant tracking , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Liming Zhang,et al.  Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Tim K Marks,et al.  SUN: A Bayesian framework for saliency using natural statistics. , 2008, Journal of vision.

[14]  Yuqiao Gu,et al.  A neural network model of attention-modulated neurodynamics , 2007, Cognitive Neurodynamics.

[15]  O. Meur,et al.  Predicting visual fixations on video based on low-level visual features , 2007, Vision Research.

[16]  Liqing Zhang,et al.  Saliency Detection: A Spectral Residual Approach , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[17]  Nanning Zheng,et al.  Learning to Detect A Salient Object , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[18]  Pietro Perona,et al.  Graph-Based Visual Saliency , 2006, NIPS.

[19]  Dirk B. Walther,et al.  Modeling attention to salient proto-objects , 2006, Neural Networks.

[20]  Sandip Sarkar,et al.  A possible explanation of the low-level brightness–contrast illusions in the light of an extended classical receptive field model of retinal ganglion cells , 2006, Biological Cybernetics.

[21]  John K. Tsotsos,et al.  Saliency Based on Information Maximization , 2005, NIPS.

[22]  Iain D. Gilchrist,et al.  Visual correlates of fixation selection: effects of scale and time , 2005, Vision Research.

[23]  Laurent Itti,et al.  Automatic foveation for video compression using a neurobiological model of visual attention , 2004, IEEE Transactions on Image Processing.

[24]  Antonio Torralba,et al.  Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.

[25]  C. Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[26]  Chein-I Chang,et al.  Hierarchical fast two-dimensional entropic thresholding algorithm using a histogram pyramid , 1996 .

[27]  Li Chao-Yi,et al.  Extensive disinhibitory region beyond the classical receptive field of cat retinal ganglion cells , 1992, Vision Research.

[28]  Ahmed S. Abutableb.  Automatic thresholding of gray-level pictures using two-dimensional entropy , 1989 .

[29]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[30]  H Ikeda,et al.  Functional organization of the periphery effect in retinal ganglion cells. , 1972, Vision research.

[31]  R. W. Rodieck,et al.  Analysis of receptive fields of cat retinal ganglion cells. , 1965, Journal of neurophysiology.

[32]  Xosé R. Fernández-Vidal,et al.  Saliency from hierarchical adaptation through decorrelation and variance normalization , 2012, Image Vis. Comput..

[33]  Gert Kootstra,et al.  Paying Attention to Symmetry , 2008, BMVC.

[34]  Y X Zhou,et al.  Extensive disinhibitory region beyond the classical receptive field of cat retinal ganglion cells. , 1992, Vision research.

[35]  Ahmed S. Abutaleb,et al.  Automatic thresholding of gray-level pictures using two-dimensional entropy , 1989, Comput. Vis. Graph. Image Process..

[36]  S. Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.