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

Seiler J, Kaup A (2010)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2010

Pages Range: 886-889

Article Number: 5495253

Event location: Dallas, TX US

ISBN: 978-1-4244-4295-9

URI: https://arxiv.org/abs/2207.01207

DOI: 10.1109/ICASSP.2010.5495253

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.

Authors with CRIS profile

Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Seiler, J., & Kaup, A. (2010). Multiple selection approximation for improved spatio-temporal prediction in video coding. In Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 (pp. 886-889). Dallas, TX, US.

MLA:

Seiler, Jürgen, and André 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.

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