In this paper, we propose a pattern matching
based algorithm for video compression. This algorithm, named
MMP-Video, is based on the H.264/AVC video encoder, but
uses a pattern-matching paradigm instead of the state-of-theart
transform-quantization-entropy encoding approach. The proposed
method adopts the use of multiscale recurrent patterns to
compress both spatial and temporal prediction residues, totally
replacing the use of transforms and quantization.
Experimental results show that the coding performance of
MMP-Video is better than the one of H.264/AVC high profile,
specially for medium to high bit-rates. The gains range up
to 0.7dB, showing that, in spite of its larger computational
complexity, the use of multiscale recurrent pattern matching
paradigm deserves being investigated as an alternative for video
compression.