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Scientific Publications

Lossy Parametric Motion Model Compression for Global Motion Temporal Filtering
Citation key 1346Tok2012
Author Michael Tok and Andreas Krutz and Alexander Glantz and Thomas Sikora
Title of Book Proceedings of the 29th IEEE Picture Coding Symposium (PCS 2012)
Year 2012
Address Kraków, Poland
Month may
Note ISBN: 978-1-4577-2048-2
Organization IEEE
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.
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