Multiple selection approximation for improved spatio-temporal prediction in video coding

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Seiler J, Kaup A
Publication year: 2010
Pages range: 886-889
ISBN: 9781424442966


Abstract


In this contribution, a novel spatio-temporal prediction algorithm for video coding is introduced. This algorithm exploits temporal as well as spatial redundancies for effectively predicting the signal to be encoded. To achieve this, the algorithm operates in two stages. Initially, motion compensated prediction is applied on the block being encoded. Afterwards this preliminary temporal prediction is refined by forming a joint model of the initial predictor and the spatially adjacent already transmitted blocks. The novel algorithm is able to outperform earlier refinement algorithms in speed and prediction quality. Compared to pure motion compensated prediction, the mean data rate can be reduced by up to 15% and up to 1.16 dB gain in PSNR can be achieved for the considered sequences. ©2010 IEEE.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Seiler, J., & Kaup, A. (2010). Multiple selection approximation for improved spatio-temporal prediction in video coding. (pp. 886-889). Dallas, TX, US.

MLA:
Seiler, Jürgen, and Andre Kaup. "Multiple selection approximation for improved spatio-temporal prediction in video coding." Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, Dallas, TX 2010. 886-889.

BibTeX: 

Last updated on 2018-16-12 at 13:50