Publication detail

Estimating Peak SNR Without Reference for Real H.264/AVC Sequence Intra Frames

SLANINA, M. ŘÍČNÝ, V.

Original Title

Estimating Peak SNR Without Reference for Real H.264/AVC Sequence Intra Frames

English Title

Estimating Peak SNR Without Reference for Real H.264/AVC Sequence Intra Frames

Type

conference paper

Language

en

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.

English 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.

RIV year

2008

Released

25.04.2008

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",
  annote="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.",
  address="Czechoslovakia Section IEEE",
  booktitle="Proceedings of the 18th International Conference Radioelektronika 2008",
  chapter="25749",
  howpublished="print",
  institution="Czechoslovakia Section IEEE",
  year="2008",
  month="april",
  pages="55--58",
  publisher="Czechoslovakia Section IEEE",
  type="conference paper"
}