@INPROCEEDINGS{1346Tok2012, AUTHOR = {Michael Tok and Andreas Krutz and Alexander Glantz and Thomas Sikora}, TITLE = {Lossy Parametric Motion Model Compression for Global Motion Temporal Filtering}, BOOKTITLE = {Proceedings of the 29th IEEE Picture Coding Symposium (PCS 2012)}, YEAR = {2012}, MONTH = may, ORGANIZATION = {IEEE}, ADDRESS = {Kraków, Poland}, NOTE = {ISBN: 978-1-4577-2048-2}, PDF = {http://elvera.nue.tu-berlin.de/files/1346Tok2012.pdf}, URL = {http://elvera.nue.tu-berlin.de/files/1346Tok2012.pdf}, ABSTRACT = {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.} }