A fuzzy logic model of visual importance for efficient image synthesis

Ross Brown; Binh Pham; Anthony Maeder

doi:10.1109/FUZZ.2001.1008920

A fuzzy logic model of visual importance for efficient image synthesis

Ross Brown, Binh Pham, Anthony Maeder

Research output: Contribution to conference › Paper

3 Citations (Scopus)

Abstract

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.

Original language	English
Pages	1400-1403
Number of pages	4
DOIs	https://doi.org/10.1109/FUZZ.2001.1008920
Publication status	Published - Dec 2001
Externally published	Yes
Event	10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia Duration: 2 Dec 2001 → 5 Dec 2001

Conference

Conference	10th IEEE International Conference on Fuzzy Systems
Country	Australia
City	Melbourne
Period	2/12/01 → 5/12/01

Access to Document

10.1109/FUZZ.2001.1008920Licence: In Copyright

Link to publication in Scopus

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Brown, R., Pham, B., & Maeder, A. (2001). A fuzzy logic model of visual importance for efficient image synthesis. 1400-1403. Paper presented at 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia. https://doi.org/10.1109/FUZZ.2001.1008920

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