Conference/ProceedingsProceedings of the 18th IEEE International Conference on Image Processing (IEEE ICIP2011)
Start date11.09.2011
End date14.09.2011
AddressBrussels, Belgium
Author(s)Alexander Glantz, Michael Tok, Andreas Krutz, Thomas Sikora
TitleA Block-adaptive Skip Mode for Inter Prediction based on Parametric Motion Models
AbstractMotion compensated prediction (MCP) in hybrid video coding estimates a
translational motion vector for a given block which is then used for
residual computation. However, when complex motion like zoom, rotation, and
perspective transformation occur, the translational model assumption does
not always hold. This may result in higher residual energy and splitting of
blocks, respectively. This paper proposes a skip mode based on higher-order
parametric motion models. Often, these models provide a better prediction
quality resulting in lower residual energy and larger block sizes. The
proposed technique estimates a higher-order motion model between two given
pictures. The encoder decides in terms of rate-distortion optimization
whether to use the new skip mode for a block and therefore not to transfer
any additional information like coefficient data. Experimental evaluation
shows that the proposed technique can improve the coding performance of
next generation video coding standards significantly.
Key wordscompression, H.264/AVC, HEVC, video coding, parametric motion model, motion compensated prediction
NoteIEEE catalog number: CFP11CIP-USB
ISBN: 978-1-4577-1302-6