A convex hull approach in conjunction with Gaussian mixture model for salient object detection

[1]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[3]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[4]  Volker Graefe,et al.  A novel approach for the detection of vehicles on freeways by real-time vision , 1996, Proceedings of Conference on Intelligent Vehicles.

[5]  Nico Karssemeijer,et al.  Detection of stellate distortions in mammograms , 1996, IEEE Trans. Medical Imaging.

[6]  C. Koch,et al.  Models of bottom-up and top-down visual attention , 2000 .

[7]  Yali Amit,et al.  2D Object Detection and Recognition: Models, Algorithms, and Networks , 2002 .

[8]  Xing Xie,et al.  A visual attention model for adapting images on small displays , 2003, Multimedia Systems.

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

[10]  K. Fujii,et al.  Visualization for the analysis of fluid motion , 2005, J. Vis..

[11]  David Salesin,et al.  Gaze-based interaction for semi-automatic photo cropping , 2006, CHI.

[12]  King Ngi Ngan,et al.  Unsupervised extraction of visual attention objects in color images , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[13]  Patrick Le Callet,et al.  A coherent computational approach to model bottom-up visual attention , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[15]  Raimondo Schettini,et al.  Low-quality image enhancement using visual attention , 2007 .

[16]  Zhiwen Yu,et al.  A Rule Based Technique for Extraction of Visual Attention Regions Based on Real-Time Clustering , 2007, IEEE Transactions on Multimedia.

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

[18]  Nanning Zheng,et al.  Learning to Detect a Salient Object , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[20]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[21]  S. Süsstrunk,et al.  Frequency-tuned salient region detection , 2009, CVPR 2009.

[22]  Sabine Süsstrunk,et al.  Saliency detection using maximum symmetric surround , 2010, 2010 IEEE International Conference on Image Processing.

[23]  Wei Zhang,et al.  An Adaptive Computational Model for Salient Object Detection , 2010, IEEE Transactions on Multimedia.

[24]  Henrik I. Christensen,et al.  Computational visual attention systems and their cognitive foundations: A survey , 2010, TAP.

[25]  Shi-Min Hu,et al.  Global contrast based salient region detection , 2011, CVPR 2011.

[26]  Laurent Itti,et al.  Saliency and Gist Features for Target Detection in Satellite Images , 2011, IEEE Transactions on Image Processing.

[27]  Shang-Hong Lai,et al.  Fusing generic objectness and visual saliency for salient object detection , 2011, 2011 International Conference on Computer Vision.

[28]  King Ngi Ngan,et al.  Unsupervised Salient Object Segmentation Based on Kernel Density Estimation and Two-Phase Graph Cut , 2012, IEEE Transactions on Multimedia.

[29]  Christof Koch,et al.  Image Signature: Highlighting Sparse Salient Regions , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[31]  Deepu Rajan,et al.  Salient Object Detection through Over-Segmentation , 2012, 2012 IEEE International Conference on Multimedia and Expo.

[32]  Marko Tscherepanow,et al.  A saliency map based on sampling an image into random rectangular regions of interest , 2012, Pattern Recognit..

[33]  Ying Wu,et al.  A unified approach to salient object detection via low rank matrix recovery , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[34]  Lihi Zelnik-Manor,et al.  Context-Aware Saliency Detection , 2012, IEEE Trans. Pattern Anal. Mach. Intell..

[35]  Huchuan Lu,et al.  Bayesian Saliency via Low and mid Level Cues , 2022 .

[36]  Li Xu,et al.  Hierarchical Saliency Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[37]  Huchuan Lu,et al.  Saliency Detection via Absorbing Markov Chain , 2013, 2013 IEEE International Conference on Computer Vision.

[38]  Liquan Shen,et al.  Saliency detection using regional histograms. , 2013, Optics letters.

[39]  Ali Borji,et al.  State-of-the-Art in Visual Attention Modeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[40]  Weisi Lin,et al.  A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform , 2013, IEEE Transactions on Multimedia.

[41]  Armin B. Cremers,et al.  A Multisize Superpixel Approach for Salient Object Detection Based on Multivariate Normal Distribution Estimation , 2014, IEEE Transactions on Image Processing.

[42]  Wenbin Zou,et al.  Saliency Tree: A Novel Saliency Detection Framework , 2014, IEEE Transactions on Image Processing.

[43]  R. K. Agrawal,et al.  A novel approach to combine features for salient object detection using constrained particle swarm optimization , 2014, Pattern Recognit..

[44]  Huchuan Lu,et al.  Saliency detection via Cellular Automata , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[45]  R. K. Agrawal,et al.  Combination of Kullback–Leibler divergence and Manhattan distance measures to detect salient objects , 2015, Signal Image Video Process..

[46]  Ali Borji,et al.  Salient Object Detection: A Benchmark , 2015, IEEE Transactions on Image Processing.

[47]  R. K. Agrawal,et al.  A novel hybrid approach for salient object detection using local and global saliency in frequency domain , 2015, Multimedia Tools and Applications.