2D frequency selective extrapolation for spatial error concealment in H.264/AVC video coding

Meisinger K, Kaup A (2006)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2006

Publisher: IEEE

Pages Range: 2233-2236

Article Number: 4107009

Event location: Atlanta, GA US

ISBN: 1-4244-0480-0

DOI: 10.1109/ICIP.2006.313014

Abstract

The frequency selective extrapolation extends an image signal beyond a limited number of known samples. This problem arises in image and video communication in error prone environments where transmission errors may lead to data losses. In order to estimate the lost image areas, the missing pixels are extrapolated from the available correctly received surrounding area which is approximated by a weighted linear combination of basis functions. In this contribution, we integrate the frequency selective extrapolation into the H.264/AVC coder as spatial concealment method. The decoder reference software uses spatial concealment only for I frames. Therefore, we investigate the performance of our concealment scheme for I frames and its impact on following P frames caused by error propagation due to predictive coding. Further, we compare the performance for coded video sequences in TV quality against the non-normative concealment feature of the decoder reference software. The investigations are done for slice patterns causing chequerboard and raster scan losses enabled by Flexible Macroblock Ordering (FMO). ©2006 IEEE.

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How to cite

APA:

Meisinger, K., & Kaup, A. (2006). 2D frequency selective extrapolation for spatial error concealment in H.264/AVC video coding. In Proceedings of the 2006 IEEE International Conference on Image Processing, ICIP 2006 (pp. 2233-2236). Atlanta, GA, US: IEEE.

MLA:

Meisinger, Katrin, and André Kaup. "2D frequency selective extrapolation for spatial error concealment in H.264/AVC video coding." Proceedings of the 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA IEEE, 2006. 2233-2236.

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