Consciousness-driven model for visual attention

A consciousness-driven visual attention model is presented in this paper. It is based on a bio-inspired computer fovea model and a hierarchical analysis for the given visual receptive field. Indeed, the bio-inspired computer fovea model is used to simulate the neural activity on the human visual system, and the hierarchical analysis provides a function to explore the information on the given visual scene. The proposed model can evaluate the contents on the scene and automatically highlights visually important regions. This model can be used in various applications, such as surveillance, visual navigation and target acquisition, etc.

[1]  Antoine Geissbühler,et al.  A Review of Content{Based Image Retrieval Systems in Medical Applications { Clinical Bene(cid:12)ts and Future Directions , 2022 .

[2]  D. Navon.  Forest before trees: The precedence of global features in visual perception , 1977, Cognitive Psychology.

[3]  G. Tononi.  An information integration theory of consciousness , 2004, BMC Neuroscience.

[4]  Arnold W. M. Smeulders,et al.  Color Invariance , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Chin-Teng Lin,et al.  Bio-Inspired Computer Fovea Model Based on Hexagonal-Type Cellular Neural Network , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[6]  Martin D. Levine,et al.  Visual information processing in primate cone pathways. I. A model , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[7]  Martin D. Levine,et al.  Visual information processing in primate cone pathways. II. Experiments , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[8]  G. Edelman,et al.  Complexity and coherency: integrating information in the brain , 1998, Trends in Cognitive Sciences.

[9]  Georg Hartmann,et al.  Biology-inspired design of digital Gabor filters upon a hexagonal sampling scheme , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[10]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[11]  Olaf Sporns,et al.  Measuring information integration , 2003, BMC Neuroscience.

[12]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[13]  Chao-Hui Huang,et al.  Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

[14]  Arnold W. M. Smeulders,et al.  Color texture measurement and segmentation , 2005, Signal Process..

[15]  Man Ieee Systems,et al.  IEEE transactions on systems, man and cybernetics. Part B, Cybernetics , 1996 .

[16]  Arnold W. M. Smeulders,et al.  Color constancy from physical principles , 2003, Pattern Recognit. Lett..

[17]  S. Sutherland.  Eye, brain and vision , 1993, Nature.