Comparison of Colour Spaces for Visual Saliency

The human eye is able to locate objects or regions of importance in its field of vision. Many visual saliency models have been proposed to replicate the human visual system(HVS) in detecting salient objects in a visual scene. A colour space transformation from the RGB space is assumed to increase the detection performance, given the reason that the transformed colour space would allow a better representation of colour similar to the HVS. In this paper, comparisons are performed to validate the claim. Results from a survey performed showed that colour space transformation from the RGB space resulted in better salient detection performance.

[1]  Yu Yang,et al.  A computational model of visual attention based on saliency maps , 2007, Appl. Math. Comput..

[2]  HongJiang Zhang,et al.  Contrast-based image attention analysis by using fuzzy growing , 2003, MULTIMEDIA '03.

[3]  Andreas Koschan,et al.  Digital Color Image Processing , 2008 .

[4]  Christof Koch,et al.  Modeling attention to salient proto-objects , 2006, Neural Networks.

[5]  C. Koch,et al.  Consciousness and neuroscience. , 1998, Cerebral cortex.

[6]  C.J.H. Mann,et al.  Color Image Processing – Methods and Applications , 2008 .

[7]  Li Zhuo,et al.  Regions of Interest extraction based on visual attention model and watershed segmentation , 2008, 2008 International Conference on Neural Networks and Signal Processing.

[8]  Vinay Sharma,et al.  Robust detection of people in thermal imagery , 2004, ICPR 2004.

[9]  C. Torras,et al.  Color constancy for landmark detection in outdoor environments , 2001 .

[10]  Sabine Süsstrunk,et al.  Salient Region Detection and Segmentation , 2008, ICVS.

[11]  C. Koch,et al.  A framework for consciousness , 2003, Nature Neuroscience.

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

[13]  Michael Gleicher,et al.  Region Enhanced Scale-Invariant Saliency Detection , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[14]  Charles A. Poynton,et al.  A technical introduction to digital video , 1996 .

[15]  Baoxin Li,et al.  A two-stage approach to saliency detection in images , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[16]  C. Koch,et al.  A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.

[17]  Wenjun Zhang,et al.  Scalable visual sensitivity profile estimation , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[18]  Dieter Van Rijsselbergen YCoCg(-R) Color Space Conversion on the GPU , 2005 .

[19]  Ning Li,et al.  Content Representation of Video Sequences Based on Salient Region , 2008, 2008 3rd International Conference on Innovative Computing Information and Control.