Vector quantization of affine motion models

This paper presents an efficient motion compensation algorithm for low bit rate video coding. The motion field is modelled as a block-segmented affine motion field. Affine motion parameter estimation and quantization are performed in one step by searching a static VQ codebook. The codebook is designed using a GLA-like algorithm to minimize the motion compensation error. Furthermore, variable block size is used to allow more flexible bit allocation between motion coding and prediction error coding. Simulations on various test sequences show 0.8-2.0 dB PSNR gain over H.263 with advanced prediction mode enabled.