A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Independent component analysis: theory and applications
Independent component analysis: theory and applications
Evaluation of selective attention under similarity transformations
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Bayesian optimization of the scale saliency filter
Image and Vision Computing
Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Evaluation of selective attention under similarity transformations
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Salient region detection by modeling distributions of color and orientation
IEEE Transactions on Multimedia
Implementation of visual attention system using bottom-up saliency map model
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Early clustering approach towards modeling of bottom-up visual attention
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Random walks on graphs for salient object detection in images
IEEE Transactions on Image Processing
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
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In this paper, we propose a new saliency map model to find a selective attention region in a static color image for human-like fast scene analysis. We consider the roles of cells in our visual receptor for edge detection and cone opponency, and also reflect the roles of the lateral geniculate nucleus to find a symmetrical property of an interesting object such as shape and pattern. Also, independent component analysis (ICA) is used to find a filter that can generate a salient region from feature maps constructed by edge, color opponency and symmetry information, which models the role of redundancy reduction in the visual cortex. Computer experimental results show that the proposed model successfully generates the plausible sequence of salient region.