Representation and estimation of motion using a dictionary of models

This paper presents a novel method for representing motion information based on a dictionary of motion models and a tag image which indicates which motion model is used at any given image position. Each model is composed of low-order polynomial-based motion fields. The motion in most sequences can be adequately represented by a very small number of such motion models. We further present an efficient way of estimating and coding this representation. Comparative results are presented which indicate a performance superior to that of motion representations found in classical block-based codecs.