|Proceedings of the 29th IEEE Picture Coding Symposium (PCS 2012)
|Michael Tok, Andreas Krutz, Alexander Glantz, Thomas Sikora
|Lossy Parametric Motion Model Compression for Global Motion Temporal Filtering
|It has been shown that techniques using higher- order motion parameters outperform common translational mo- tion compensated prediction for hybrid video coders. A critical issue is the transmission of accurate higher-order motion pa- rameters 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 trans- formation before quantization and temporal redundancy reduc- tion 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 3.5% in average in the higher bit rate range and up to 6.3% in average in the lower bit rate range compared to the latest version of the HEVC test model HM 4.0.