Lossy parametric motion model compression for global motion temporal filtering
It has been shown that techniques using higher-order motion parameters outperform common translational motion compensated prediction for hybrid video coders. A critical issue is the transmission of accurate higher-order motion parameters with as little additional bits as possible to maximize the compression gain of the whole system. For that, we propose a compression scheme for perspective motion models using transformation before quantization and temporal redundancy reduction and integrate this scheme into a video coding environment using adaptive global motion temporal filtering. Experimental results show that using the proposed compression scheme for the perspective motion models, the BD-rate can be improved up to 8.8% in average in the higher bit rate range and up to 7.7% in average in the lower bit rate range compared to the latest version of the HEVC test model HM 4.0.