A fuzzy logic model of visual importance for efficient image synthesis
Brown, Ross A., Pham, Binh L., & Maeder, Anthony J. (2001) A fuzzy logic model of visual importance for efficient image synthesis. In Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001, IEEE, Melbourne, VIC, pp. 1400-1403.
Experiments have shown that viewers only regard certain informative regions within a presented image. Furthermore, it has been shown that these regions of interest contain low level feature differences that influence the fixation time of the viewer. In this paper we present a novel fuzzy logic model of visual attention which seeks to compute the relative visual importance of regions in an image based upon these spatial feature differences. We also demonstrate some of the possible savings to be had in applying the visual importance model to the modulation of super-sampling in a ray-traced image. We expect this approach to have applications in the entertainment industry where image fidelity may be sacrificed for efficiency purposes.
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|Item Type:||Conference Paper|
|Keywords:||fuzzy logic, visual importance, image synthesis, progressive rendering|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)|
|Divisions:||Past > Schools > Computer Science|
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2001 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||17 Jan 2005|
|Last Modified:||11 Dec 2011 06:16|
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