Finding Objects of Interest in Images using Saliency and Superpixels
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[1] D. R. Fulkerson,et al. Maximal Flow Through a Network , 1956 .
[2] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[3] Richard M. Karp,et al. Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems , 1972, Combinatorial Optimization.
[4] Larry D. Hostetler,et al. The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.
[5] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[6] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[7] Andrew P. Witkin,et al. Scale-Space Filtering , 1983, IJCAI.
[8] H. Barlow. Vision: A computational investigation into the human representation and processing of visual information: David Marr. San Francisco: W. H. Freeman, 1982. pp. xvi + 397 , 1983 .
[9] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.
[10] Shimon Ullman,et al. Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[11] Tony Lindeberg. Scale-space for discrete images , 1989 .
[12] Luc Vincent,et al. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Max A. Viergever,et al. Scale and the differential structure of images , 1992, Image Vis. Comput..
[14] R. Deriche. Recursively Implementing the Gaussian and its Derivatives , 1993 .
[15] D. V. van Essen,et al. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[16] T. Lindeberg,et al. Scale-Space Theory : A Basic Tool for Analysing Structures at Different Scales , 1994 .
[17] M. Inaba. Application of weighted Voronoi diagrams and randomization to variance-based k-clustering , 1994, SoCG 1994.
[18] Yizong Cheng,et al. Mean Shift, Mode Seeking, and Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[19] John K. Tsotsos,et al. Modeling Visual Attention via Selective Tuning , 1995, Artif. Intell..
[20] Lucas J. van Vliet,et al. Recursive implementation of the Gaussian filter , 1995, Signal Process..
[21] Wen-Hsiang Tsai,et al. Moment-preserving thresholding: a new approach , 1995 .
[22] S. Grossberg. The Attentive Brain , 1995 .
[23] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[24] Peter G. B. Enser,et al. Progress in Documentation Pictorial Information Retrieval , 1995, J. Documentation.
[25] Ramin Zabih,et al. Histogram refinement for content-based image retrieval , 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.
[26] Wayne Luk,et al. Binomial filters , 1996, J. VLSI Signal Process..
[27] Peter G. B. Enser,et al. Analysis of user need in image archives , 1997, J. Inf. Sci..
[28] Edward M. Riseman,et al. Finding text in images , 1997, DL '97.
[29] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[30] David S. Doermann,et al. Automatic text tracking in digital videos , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).
[31] Shyang Chang,et al. Statistical change detection with moments under time-varying illumination , 1998, IEEE Trans. Image Process..
[32] Christof Koch,et al. Comparison of feature combination strategies for saliency-based visual attention systems , 1999, Electronic Imaging.
[33] Ronald A. Rensink. The Dynamic Representation of Scenes , 2000 .
[34] Ronald A. Rensink. Seeing, sensing, and scrutinizing , 2000, Vision Research.
[35] Wolfgang Effelsberg,et al. Automatic text segmentation and text recognition for video indexing , 2000, Multimedia Systems.
[36] Murat Kunt,et al. ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE , 2000 .
[37] David S. Doermann,et al. Automatic text detection and tracking in digital video , 2000, IEEE Trans. Image Process..
[38] Marie-Pierre Jolly,et al. Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images , 2001, ICCV.
[39] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[40] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[41] Xian-Sheng Hua,et al. A video text detection and recognition system , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..
[42] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[43] Peter Meer,et al. Synergism in low level vision , 2002, Object recognition supported by user interaction for service robots.
[44] J. Crowley,et al. Fast Computation of Characteristic Scale Using a Half-Octave Pyramid , 2002 .
[45] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[46] David M. Mount,et al. A local search approximation algorithm for k-means clustering , 2002, SCG '02.
[47] Achilleas S Frangakis,et al. Segmentation of two- and three-dimensional data from electron microscopy using eigenvector analysis. , 2002, Journal of structural biology.
[48] Luhong Liang,et al. A detector tree of boosted classifiers for real-time object detection and tracking , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).
[49] Antonio Torralba,et al. Top-down control of visual attention in object detection , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[50] Jun Wang,et al. A Sensor fusion based object tracker for compressed video , 2003 .
[51] HongJiang Zhang,et al. Contrast-based image attention analysis by using fuzzy growing , 2003, MULTIMEDIA '03.
[52] B. Freisleben,et al. Finding text in images via local thresholding , 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).
[53] Xing Xie,et al. A visual attention model for adapting images on small displays , 2003, Multimedia Systems.
[54] Jitendra Malik,et al. Learning a classification model for segmentation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[55] Charles Elkan,et al. Using the Triangle Inequality to Accelerate k-Means , 2003, ICML.
[56] Mohan S. Kankanhalli,et al. A hierarchical framework for face tracking using state vector fusion for compressed video , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[57] C. Madhwacharyula,et al. Information-integration approach to designing digital video albums , 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.
[58] Xing Xie,et al. Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model , 2004, PCM.
[59] Michael Brady,et al. Saliency, Scale and Image Description , 2001, International Journal of Computer Vision.
[60] Alan L. Yuille,et al. Detecting and reading text in natural scenes , 2004, CVPR 2004.
[61] Harry Shum,et al. Lazy snapping , 2004, ACM Trans. Graph..
[62] Nuno Vasconcelos,et al. Discriminant Saliency for Visual Recognition from Cluttered Scenes , 2004, NIPS.
[63] J. Koenderink. The structure of images , 2004, Biological Cybernetics.
[64] Andrew Zisserman,et al. An Affine Invariant Salient Region Detector , 2004, ECCV.
[65] Vladimir Kolmogorov,et al. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[66] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[67] Lambert Schomaker,et al. Text detection from natural scene images: towards a system for visually impaired persons , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[68] Tony Lindeberg,et al. Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.
[69] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[70] Greg Mori,et al. Guiding model search using segmentation , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[71] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2005, International Journal of Computer Vision.
[72] John K. Tsotsos,et al. Saliency Based on Information Maximization , 2005, NIPS.
[73] Simone Frintrop,et al. Robust Object Detection at Regions of Interest with an Application in Ball Recognition , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[74] Alexei A. Efros,et al. Automatic photo pop-up , 2005, ACM Trans. Graph..
[75] M. Leon,et al. TEXT DETECTION IN IMAGES AND VIDEO SEQUENCES , 2005 .
[76] Jianbo Shi,et al. Spectral segmentation with multiscale graph decomposition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[77] Jun Wang,et al. A sensor fusion approach for tracking faces in compressed video , 2005 .
[78] Nuno Vasconcelos,et al. Integrated learning of saliency, complex features, and object detectors from cluttered scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[79] Alexei A. Efros,et al. Geometric context from a single image , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[80] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[81] H. Tran,et al. A Novel Approach for Text Detection in Images Using Structural Features , 2005, ICAPR.
[82] Daniel Cohen-Or,et al. Feature-aware texturing , 2006, EGSR '06.
[83] Byoung Chul Ko,et al. Object-of-interest image segmentation based on human attention and semantic region clustering. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.
[84] Guillermo Sapiro,et al. O(N) implementation of the fast marching algorithm , 2006, Journal of Computational Physics.
[85] Mohan S. Kankanhalli,et al. Modeling intent for home video repurposing , 2006, IEEE Multimedia.
[86] King Ngi Ngan,et al. Unsupervised extraction of visual attention objects in color images , 2006, IEEE Transactions on Circuits and Systems for Video Technology.
[87] 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.
[88] Christof Koch,et al. Modeling attention to salient proto-objects , 2006, Neural Networks.
[89] Bill Triggs,et al. Boundary conditions for Young-van Vliet recursive filtering , 2006, IEEE Transactions on Signal Processing.
[90] Pietro Perona,et al. Graph-Based Visual Saliency , 2006, NIPS.
[91] Antonio Criminisi,et al. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation , 2006, ECCV.
[92] Richard S. Zemel,et al. Learning and Incorporating Top-Down Cues in Image Segmentation , 2006, ECCV.
[93] Guillermo Sapiro,et al. A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[94] Simone Frintrop,et al. A Real-time Visual Attention System Using Integral Images , 2007, ICVS 2007.
[95] Benoit M. Macq,et al. Perceptual Image Representation , 2007, EURASIP J. Image Video Process..
[96] S. Avidan,et al. Seam carving for content-aware image resizing , 2007, SIGGRAPH 2007.
[97] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[98] Daniel Cohen-Or,et al. Non-homogeneous Content-driven Video-retargeting , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[99] Vincent Vanhoucke,et al. Reading text in consumer digital photographs , 2007, Electronic Imaging.
[100] Aly A. Farag,et al. Graph Cuts Framework for Kidney Segmentation with Prior Shape Constraints , 2007, MICCAI.
[101] Liqing Zhang,et al. Saliency Detection: A Spectral Residual Approach , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[102] Stephen J. Sangwine,et al. Hypercomplex Fourier Transforms of Color Images , 2001, IEEE Transactions on Image Processing.
[103] Nanning Zheng,et al. Learning to Detect a Salient Object , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[104] Ariel Shamir,et al. Improved seam carving for video retargeting , 2008, ACM Trans. Graph..
[105] Umar Mohammed,et al. Superpixel lattices , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[106] 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.
[107] Anat Levin,et al. Learning to Combine Bottom-Up and Top-Down Segmentation , 2006, International Journal of Computer Vision.
[108] Ullrich Köthe,et al. Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification , 2008, DAGM-Symposium.
[109] Stephen Gould,et al. Multi-Class Segmentation with Relative Location Prior , 2008, International Journal of Computer Vision.
[110] Nuno Vasconcelos,et al. On the plausibility of the discriminant center-surround hypothesis for visual saliency. , 2008, Journal of vision.
[111] Liming Zhang,et al. Biological Plausibility of Spectral Domain Approach for Spatiotemporal Visual Saliency , 2008, ICONIP.
[112] Bärbel Mertsching,et al. Fast and Robust Generation of Feature Maps for Region-Based Visual Attention , 2008, IEEE Transactions on Image Processing.
[113] Clayton Brian Atkins. Blocked recursive image composition , 2008, ACM Multimedia.
[114] Stefano Soatto,et al. Quick Shift and Kernel Methods for Mode Seeking , 2008, ECCV.
[115] Sabine Süsstrunk,et al. Salient Region Detection and Segmentation , 2008, ICVS.
[116] Nuno Vasconcelos,et al. Background subtraction in highly dynamic scenes , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[117] Baoxin Li,et al. A two-stage approach to saliency detection in images , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[118] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[119] O. Sorkine-Hornung,et al. Optimized scale-and-stretch for image resizing , 2008, SIGGRAPH Asia '08.
[120] Tim K Marks,et al. SUN: A Bayesian framework for saliency using natural statistics. , 2008, Journal of vision.
[121] Peyman Milanfar,et al. Static and space-time visual saliency detection by self-resemblance. , 2009, Journal of vision.
[122] Sabine Süsstrunk,et al. Frequency-tuned salient region detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[123] Pascal Fua,et al. Image summaries using database saliency , 2009, SIGGRAPH ASIA '09.
[124] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[125] Stefano Soatto,et al. Class segmentation and object localization with superpixel neighborhoods , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[126] Vincent Lepetit,et al. Fast Ray features for learning irregular shapes , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[127] Alexander G. Gray,et al. Automatic joint classification and segmentation of whole cell 3D images , 2009, Pattern Recognit..
[128] Stefano Soatto,et al. Motion segmentation with occlusions on the superpixel graph , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[129] Amelio Vázquez Reina,et al. Multiphase geometric couplings for the segmentation of neural processes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[130] P. Fua,et al. Learning rotational features for filament detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[131] Paul L. Rosin. A simple method for detecting salient regions , 2009, Pattern Recognit..
[132] Sabine Süsstrunk,et al. Saliency detection for content-aware image resizing , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[133] Sven J. Dickinson,et al. Multiscale Symmetric Part Detection and Grouping , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[134] Sven J. Dickinson,et al. TurboPixels: Fast Superpixels Using Geometric Flows , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[135] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[136] Vincent Lepetit,et al. A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images , 2010, MICCAI.
[137] Radhakrishna Achanta,et al. GUI-aided NIR and color image blending , 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.
[138] Sabine Süsstrunk,et al. Saliency detection using maximum symmetric surround , 2010, 2010 IEEE International Conference on Image Processing.
[139] John K. Tsotsos,et al. Attention based on information maximization , 2010 .
[140] S. Süsstrunk,et al. SLIC Superpixels ? , 2010 .
[141] Michael Unser,et al. The Ovuscule , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.