Matching pursuit video coding at very low bit rates

Abstract

Matching pursuits refers to a greedy algorithm which matches structures in a signal to a large dictionary of functions. In this paper, we present a matching-pursuit based video coding system which codes motion residual images using a large dictionary of Gabor functions. One feature of our system is that bits are assigned progressively to the highest-energy areas in the motion residual image. The large dictionary size is another advantage, since it allows structures in the motion residual to be represented using few significant coefficients. Experimental results compare the performance of the matching-pursuit system to a hybrid-DCT system at various bit rates between 6 and 128 kbit/s. Additional experiments show how the matching pursuit system performs if the Gabor dictionary is replaced by an 8/spl times/8 DCT dictionary.