Publication detail

No-Reference Estimation of Coding PSNR in Compressed Video Sequences

SLANINA, M.

Original Title

No-Reference Estimation of Coding PSNR in Compressed Video Sequences

English Title

No-Reference Estimation of Coding PSNR in Compressed Video Sequences

Type

conference paper

Language

en

Original Abstract

The paper briefly describes progress in developing a new algorithm for compressed video quality assessment achieved in 2008. The new objective method itself is based on an artificial neural network, taking bit stream parameters (quantization coarsness and processed block size) as its inputs. It is designed and tested for the H.264/AVC algorithm. As the doctoral thesis was finished in 2008, a few results are presented at the end of the paper.

English abstract

The paper briefly describes progress in developing a new algorithm for compressed video quality assessment achieved in 2008. The new objective method itself is based on an artificial neural network, taking bit stream parameters (quantization coarsness and processed block size) as its inputs. It is designed and tested for the H.264/AVC algorithm. As the doctoral thesis was finished in 2008, a few results are presented at the end of the paper.

Keywords

PSNR, H.264/AVC, video quality, quality metric, no-reference assessment

RIV year

2008

Released

26.11.2008

Publisher

Ústav radioelektroniky FEKT VUT v Brně

Location

Brno

ISBN

978-80-214-3753-1

Book

Sborník o řešení doktorského projektu Grantové agentury České republiky č. 102/08/H027 v roce 2008

Pages from

47

Pages to

50

Pages count

129

BibTex


@inproceedings{BUT29117,
  author="Martin {Slanina}",
  title="No-Reference Estimation of Coding PSNR in Compressed Video Sequences",
  annote="The paper briefly describes progress in developing a new algorithm for compressed video quality assessment achieved in 2008. The new objective method itself is based on an artificial neural network, taking bit stream parameters (quantization coarsness and processed block size) as its inputs. It is designed and tested for the H.264/AVC algorithm. As the doctoral thesis was finished in 2008, a few results are presented at the end of the paper.",
  address="Ústav radioelektroniky FEKT VUT v Brně",
  booktitle="Sborník o řešení doktorského projektu Grantové agentury České republiky č. 102/08/H027 v roce 2008",
  chapter="29117",
  howpublished="print",
  institution="Ústav radioelektroniky FEKT VUT v Brně",
  year="2008",
  month="november",
  pages="47--50",
  publisher="Ústav radioelektroniky FEKT VUT v Brně",
  type="conference paper"
}