Optimal Design of Transform Coders for Image Classification

by Soumya Jana and Pierre Moulin

This paper addresses the issue of optimal design of transform and multirate
coders, when the compressed data are to be used for classification purposes.
We propose to use Chernoff bounds on the probability of misclassification
as the criterion for designing the coder. The performance
of optimized transform and multirate coders is compared. The theory
is illustrated with a texture classification example.