Perception, Attention, and Resources: A Decision-Theoretic
Approach to Graphics Rendering
Eric Horvitz and Jed Lengyel
Redmond, Washington 98052-6399
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We describe work to control graphics rendering under limited
computational resources by taking a decision-theoretic perspective on
perceptual costs and computational savings of approximations. The work
extends earlier work on the control of rendering by introducing
methods and models for computing the expected cost associated with
degradations of scene components. The expected cost is computed by
considering the perceptual cost of degradations and a probability
distribution over the attentional focus of viewers. We review the
critical literature describing findings on visual search and
attention, discuss the implications of the findings, and introduce
models of expected perceptual cost. Finally, we discuss policies that
harness information about the expected cost of scene components.
Keywords: Graphics rendering, decision theory, quality of
service, graphics regulation, Talisman, perception, attention.
In: Proceedings of the Thirteenth Conference on Uncertainty in
Artificial Intelligence, Providence, RI, August 1997. Morgan Kaufmann:
San Francisco, pp. 238-249.
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