An Approach to Side Information Estimation Based on Universal Prediction and Motion Compensated Interpolation

In Wyner-Ziv (WZ) video coding, decoder side information (SI) estimation takes an important role. In this paper, an approach to SI estimation for WZ video coding is proposed. It is based on universal prediction and motion compensated temporal interpolation (MCTI). In the approach, a WZ frame which is to be decoded is first divided into non-overlapping blocks. According to their motion activity, the blocks in the WZ frame are further classified as of low or high motion activity. SI for blocks with low motion activity are estimated based on universal prediction, while those of high motion activity are estimated through MCTI. As a result, the approach takes the advantages of both universal prediction and MCTI based SI estimation. It can provide SI of better quality than the first approach while is more computationally efficient than the second one. The performance of the proposed approach is tested and the simulation results are presented.