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SLANINA, M. ŘÍČNÝ, V.
Original Title
Estimating Peak SNR Without Reference for Real H.264/AVC Sequence Intra Frames
Type
conference paper
Language
English
Original Abstract
The paper describes a novel metric for video quality measurement. The metric is capable of estimating peak signal-to-noise ratio (PSNR) values of pictures in compressed bit streams conforming to the H.264/AVC standard. It is designed and has been tested for intra predicted pictures with varying encoder settings. The metric uses an artificial neural network to estimate PSNR examining the compressed bit stream only. In other words, we do not need to decode the actual pixels within the pictures being evaluated. We present a concept of the metric and its performance results in this paper.
Keywords
H.264/AVC, PSNR, video quality, no reference, quality metric.
Authors
SLANINA, M.; ŘÍČNÝ, V.
RIV year
2008
Released
25. 4. 2008
Publisher
Czechoslovakia Section IEEE
Location
Prague
ISBN
978-1-4244-2087-2
Book
Proceedings of the 18th International Conference Radioelektronika 2008
Pages from
55
Pages to
58
Pages count
4
BibTex
@inproceedings{BUT25749, author="Martin {Slanina} and Václav {Říčný}", title="Estimating Peak SNR Without Reference for Real H.264/AVC Sequence Intra Frames", booktitle="Proceedings of the 18th International Conference Radioelektronika 2008", year="2008", pages="55--58", publisher="Czechoslovakia Section IEEE", address="Prague", isbn="978-1-4244-2087-2" }