IMAGE ANALYSIS USING COEFFICIENT DISTRIBUTIONS WITH SELECTIVE BASIS FEATURE REPRESENTATION

摘要

Distributional information for a set of α vectors is determined using a sparse basis selection approach to representing an input image or video. In some examples, this distributional information is used for a classification task.