暂无分享,去创建一个
[1] Olivier Le Meur,et al. A Time-Dependent Saliency Model Combining Center and Depth Biases for 2D and 3D Viewing Conditions , 2012, Cognitive Computation.
[2] Zhi Liu,et al. Saccadic model of eye movements for free-viewing condition , 2015, Vision Research.
[3] Lie Lu,et al. A generic framework of user attention model and its application in video summarization , 2005, IEEE Trans. Multim..
[4] Kaitlin L. Brunick,et al. Quicker, faster, darker: Changes in Hollywood film over 75 years , 2011, i-Perception.
[5] Aykut Erdem,et al. Visual saliency estimation by integrating features using multiple kernel learning , 2013, ArXiv.
[6] Naila Murray,et al. Saliency estimation using a non-parametric low-level vision model , 2011, CVPR 2011.
[7] Tim K Marks,et al. SUN: A Bayesian framework for saliency using natural statistics. , 2008, Journal of vision.
[8] Danilo De Rossi,et al. Designing and Evaluating a Social Gaze-Control System for a Humanoid Robot , 2014, IEEE Transactions on Human-Machine Systems.
[9] Lihi Zelnik-Manor,et al. Context-Aware Saliency Detection , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Rasmus Larsen,et al. SpaSM: A MATLAB Toolbox for Sparse Statistical Modeling , 2018 .
[11] J. Henderson,et al. Do the eyes really have it? Dynamic allocation of attention when viewing moving faces. , 2012, Journal of vision.
[12] 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.
[13] John K. Tsotsos,et al. Saliency Based on Information Maximization , 2005, NIPS.
[14] N Parikh,et al. Saliency-based image processing for retinal prostheses , 2010, Journal of neural engineering.
[15] Aykut Erdem,et al. Visual saliency estimation by nonlinearly integrating features using region covariances. , 2013, Journal of vision.
[16] Thierry Pun,et al. Integration of bottom-up and top-down cues for visual attention using non-linear relaxation , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[17] Changsheng Xu,et al. Video based 3D reconstruction using spatio-temporal attention analysis , 2010, 2010 IEEE International Conference on Multimedia and Expo.
[18] Ali Borji,et al. State-of-the-Art in Visual Attention Modeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Christof Koch,et al. Learning visual saliency by combining feature maps in a nonlinear manner using AdaBoost. , 2012, Journal of vision.
[20] Marcus Nyström,et al. Semantic override of low-level features in image viewing - both initially and overall , 2008 .
[21] C. Koch,et al. Faces and text attract gaze independent of the task: Experimental data and computer model. , 2009, Journal of vision.
[22] Matthew H Tong,et al. of the Annual Meeting of the Cognitive Science Society Title SUNDAy : Saliency Using Natural Statistics for Dynamic Analysis of Scenes Permalink , 2009 .
[23] Thomas Couronné,et al. A statistical mixture method to reveal bottom-up and top-down factors guiding the eye-movements , 2010 .
[24] Lihi Zelnik-Manor,et al. Learning Video Saliency from Human Gaze Using Candidate Selection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[25] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[26] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[27] Benjamin W. Tatler,et al. Systematic tendencies in scene viewing , 2008 .
[28] Simone Frintrop,et al. Goal-Directed Search with a Top-Down Modulated Computational Attention System , 2005, DAGM-Symposium.
[29] Krista A. Ehinger,et al. Modelling search for people in 900 scenes: A combined source model of eye guidance , 2009 .
[30] Bo Han,et al. High Speed Visual Saliency Computation on GPU , 2007, 2007 IEEE International Conference on Image Processing.
[31] A. Tikhonov. On the stability of inverse problems , 1943 .
[32] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[33] H. Nothdurft. Salience from feature contrast: additivity across dimensions , 2000, Vision Research.
[34] Christof Koch,et al. Learning a saliency map using fixated locations in natural scenes. , 2011, Journal of vision.
[35] Liming Zhang,et al. New strategy for image and video quality assessment , 2010, J. Electronic Imaging.
[36] L. Itti,et al. Visual causes versus correlates of attentional selection in dynamic scenes , 2006, Vision Research.
[37] Ali Borji,et al. Boosting bottom-up and top-down visual features for saliency estimation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Zheru Chi,et al. Refining a region based attention model using eye tracking data , 2010, 2010 IEEE International Conference on Image Processing.
[39] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.
[40] Nicola C. Anderson,et al. Curious eyes: Individual differences in personality predict eye movement behavior in scene-viewing , 2012, Cognition.
[41] Siwei Lyu,et al. Fused methods for visual saliency estimation , 2015, Electronic Imaging.
[42] Nathalie Guyader,et al. A Functional and Statistical Bottom-Up Saliency Model to Reveal the Relative Contributions of Low-Level Visual Guiding Factors , 2010, Cognitive Computation.
[43] Homer H. Chen,et al. Learning-Based Prediction of Visual Attention for Video Signals , 2011, IEEE Transactions on Image Processing.
[44] Iain D. Gilchrist,et al. Visual correlates of fixation selection: effects of scale and time , 2005, Vision Research.
[45] J. Franklin,et al. The elements of statistical learning: data mining, inference and prediction , 2005 .
[46] James Zijun Wang,et al. Markov chain based computational visual attention model that learns from eye tracking data , 2014, Pattern Recognit. Lett..
[47] Asha Iyer,et al. Components of bottom-up gaze allocation in natural images , 2005, Vision Research.
[48] L. Itti,et al. Modeling the influence of task on attention , 2005, Vision Research.
[49] B. Tatler,et al. The prominence of behavioural biases in eye guidance , 2009 .
[50] Byung-Woo Hong,et al. A Topographic Representation for Mammogram Segmentation , 2003, MICCAI.
[51] Xiaolin Hu,et al. Feature Selection in Supervised Saliency Prediction , 2015, IEEE Transactions on Cybernetics.
[52] Derrick J. Parkhurst,et al. Modeling the role of salience in the allocation of overt visual attention , 2002, Vision Research.
[53] 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.
[54] Nanning Zheng,et al. Learning to Detect a Salient Object , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] Laurent Itti,et al. Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[56] D. Ballard,et al. Eye guidance in natural vision: reinterpreting salience. , 2011, Journal of vision.
[57] L. Itti,et al. Quantifying center bias of observers in free viewing of dynamic natural scenes. , 2009, Journal of vision.
[58] Eric Vatikiotis-Bateson,et al. Audiovisual Speech Processing: Preface , 2012 .
[59] Antoine Coutrot,et al. Toward the introduction of auditory information in dynamic visual attention models , 2013, 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS).
[60] Mario Bertero,et al. The Stability of Inverse Problems , 1980 .
[61] John M. Henderson,et al. Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion , 2011, Cognitive Computation.
[62] Zhi Liu,et al. Saliency Aggregation: Does Unity Make Strength? , 2014, ACCV.
[63] Antoine Coutrot,et al. Face exploration dynamics differentiate men and women. , 2016, Journal of vision.
[64] Alexandre Bernardino,et al. Multimodal saliency-based bottom-up attention a framework for the humanoid robot iCub , 2008, 2008 IEEE International Conference on Robotics and Automation.
[65] Wei-Song Lin,et al. A computational visual saliency model based on statistics and machine learning. , 2014, Journal of vision.
[66] Yiannis Aloimonos,et al. Active Segmentation , 2009, Int. J. Humanoid Robotics.
[67] Javier R. Movellan,et al. Optimal scanning for faster object detection , 2009, CVPR.
[68] Ali Borji,et al. Augmented saliency model using automatic 3D head pose detection and learned gaze following in natural scenes , 2015, Vision Research.
[69] Nathalie Guyader,et al. Modelling Spatio-Temporal Saliency to Predict Gaze Direction for Short Videos , 2009, International Journal of Computer Vision.
[70] Pietro Perona,et al. Graph-Based Visual Saliency , 2006, NIPS.
[71] Peng Jiang,et al. Keyframe-Based Video Summary Using Visual Attention Clues , 2010, IEEE Multim..
[72] Q. Summerfield. Some preliminaries to a comprehensive account of audio-visual speech perception. , 1987 .
[73] Julie E. Boland,et al. Cultural variation in eye movements during scene perception. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[74] O. Meur,et al. Predicting visual fixations on video based on low-level visual features , 2007, Vision Research.
[75] Liming Zhang,et al. A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression , 2010, IEEE Transactions on Image Processing.
[76] Giuseppe Boccignone,et al. Nonparametric Bayesian attentive video analysis , 2008, 2008 19th International Conference on Pattern Recognition.
[77] N. Yi,et al. Bayesian LASSO for Quantitative Trait Loci Mapping , 2008, Genetics.
[78] Yu Huang,et al. Video retargeting with nonlinear spatial-temporal saliency fusion , 2010, 2010 IEEE International Conference on Image Processing.
[79] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[80] Christel Chamaret,et al. Spatio-temporal combination of saliency maps and eye-tracking assessment of different strategies , 2010, 2010 IEEE International Conference on Image Processing.
[81] Benjamin W Tatler,et al. The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions. , 2007, Journal of vision.
[82] Laurent Itti,et al. A Bayesian model for efficient visual search and recognition , 2010, Vision Research.
[83] N. Vasconcelos,et al. Biologically plausible saliency mechanisms improve feedforward object recognition , 2010, Vision Research.
[84] Antoine Coutrot,et al. An audiovisual attention model for natural conversation scenes , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[85] A. Ng. Feature selection, L1 vs. L2 regularization, and rotational invariance , 2004, Twenty-first international conference on Machine learning - ICML '04.
[86] Peyman Milanfar,et al. Static and space-time visual saliency detection by self-resemblance. , 2009, Journal of vision.
[87] R. Baddeley,et al. Do we look at lights? Using mixture modelling to distinguish between low- and high-level factors in natural image viewing , 2009 .
[88] Neil D. B. Bruce,et al. Visual Saliency Prediction and Evaluation across Different Perceptual Tasks , 2015, PloS one.
[89] O. Meur,et al. Introducing context-dependent and spatially-variant viewing biases in saccadic models , 2016, Vision Research.
[90] Thierry Baccino,et al. Methods for comparing scanpaths and saliency maps: strengths and weaknesses , 2012, Behavior Research Methods.
[91] Pascal Bertolino. Sensarea: An authoring tool to create accurate clickable videos , 2012, 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI).
[92] Nicolas Riche,et al. RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis , 2013, Signal Process. Image Commun..
[93] Antoine Coutrot,et al. Influence of soundtrack on eye movements during video exploration , 2012 .
[94] Uri Hasson,et al. Temporal eye movement strategies during naturalistic viewing. , 2012, Journal of vision.
[95] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[96] Bernhard Schölkopf,et al. A Nonparametric Approach to Bottom-Up Visual Saliency , 2006, NIPS.
[97] Nathalie Guyader,et al. Improving Visual Saliency by Adding ‘Face Feature Map’ and ‘Center Bias’ , 2012, Cognitive Computation.
[98] Frédo Durand,et al. Learning to predict where humans look , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[99] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[100] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[101] Petros Maragos,et al. Multimodal Saliency and Fusion for Movie Summarization Based on Aural, Visual, and Textual Attention , 2013, IEEE Transactions on Multimedia.
[102] C. Koch,et al. A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.
[103] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[104] A. Coutrot,et al. How saliency, faces, and sound influence gaze in dynamic social scenes. , 2014, Journal of vision.