DocumentCode
2342654
Title
Visual Representation in the Determination of Saliency
Author
Bruce, Neil D B ; Shi, Xun ; Simine, Evgueni ; Tsotsos, John K.
Author_Institution
Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
fYear
2011
fDate
25-27 May 2011
Firstpage
242
Lastpage
249
Abstract
In this paper, we consider the role that visual representation plays in determining the behavior of a generic model of visual salience. There are a variety of different representations that have been employed to form an early visual representation of image structure. The experiments presented demonstrate that the choice of representation has an appreciable effect on the system behavior. The reasons for these differences are discussed, and generalized to implications for vision systems in general. In instances where a design choice is arbitrary, we look to the properties of visual representation in early visual processing in humans for answers. The results as a whole demonstrate the importance of filter choice and highlight some desirable properties of log-Gabor filters.
Keywords
Gabor filters; filtering theory; image representation; filter choice; image structure; linear filtering; log-Gabor filters; saliency determination; visual representation; visual salience generic model; Bandwidth; Humans; Labeling; Pixel; Prediction algorithms; Videos; Visualization; Gabor filters; linear filtering; salience; saliency; visual representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision (CRV), 2011 Canadian Conference on
Conference_Location
St. Johns, NL
Print_ISBN
978-1-61284-430-5
Electronic_ISBN
978-0-7695-4362-8
Type
conf
DOI
10.1109/CRV.2011.39
Filename
5957567
Link To Document