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Efficient Image Rendering Using a Fuzzy Logic Model of Visual Attention

Brown, Ross A., Pham, Binh L., Aidman, Eugene, & Maeder, Anthony J. (2000) Efficient Image Rendering Using a Fuzzy Logic Model of Visual Attention. In Advances in Intelligent Systems: Theory and Applications (AISTA), 2000, Canberra, Australia.

Abstract

Physiological research has revealed constructs named “feature detectors‿ in the human visual system. These detectors react to differences in visual features, marking them as salient and thereby attracting the attention of the viewer. In this paper we outline a fuzzy logic system which processes 3D scene descriptions to compute the relative visual importance of regions in the scene. We detail experiments carried out to obtain parameters for the model, and the methodologies used in the aggregation, implication and defuzzification processes. We finish with a discussion of future work for further refinement of the model. The system is expected to have applications in the area of efficient image synthesis, in particular, progressive rendering and transmission techniques.

Impact and interest:

1 citations in Web of Science®
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Full-text downloads:

458 since deposited on 09 Dec 2005
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ID Code: 673
Item Type: Conference Paper
Keywords: Fuzzy Logic, Visual Regions, Aggregation, Implication, Defuzzification
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2000 (Please consult author)
Deposited On: 09 Dec 2005
Last Modified: 09 Jun 2010 22:23

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