Conference paper
Improvement and evaluation of visual saliency based on information theory
2010 International Computer Symposium, ICS 2010, pp.500-505
International Computer Symposium (ICS2010), 2010 (Tainan, Taiwan, 16-Dec-2010–18-Dec-2010)
Institute of Electrical and Electronics Engineers
2010
Abstract
Visual saliency is a well-known image processing technique based on theory about visual attention of human beings. Several proposed computing approaches based on findings in psychological and neurological researches about the part of human brain area in charge of visual attention. Contrast to those methods, in this paper the information theory is recommended as backbone for a new approach of building visual attention computer model, assumed that the uniqueness of a pixel or a group of pixels correlates with saliency. The information saliency is identified in both spatial domain and temporal domain, and eventually those two pieces of information is combined in a mathematical integrated framework naturally. Experiments of the model on intensity, contrast, and especially full motion video show that its performance is comparable to other state-of-art saliency approaches. Though there are still minor flaws in the information based saliency, it is a potential alternative approach for visual attention in video-based applications.
Details
- Title
- Improvement and evaluation of visual saliency based on information theory
- Authors
- A C L Ngo (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - University of Nottingham Malaysia CampusK P Seng (Author) - University of Nottingham Malaysia CampusG Qiu (Author) - University of Nottingham Malaysia Campus
- Publication details
- 2010 International Computer Symposium, ICS 2010, pp.500-505
- Conference details
- International Computer Symposium (ICS2010), 2010 (Tainan, Taiwan, 16-Dec-2010–18-Dec-2010)
- Publisher
- Institute of Electrical and Electronics Engineers
- Date published
- 2010
- DOI
- 10.1109/COMPSYM.2010.5685461
- ISBN
- 9781424476398
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99513800402621
- Output Type
- Conference paper
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