Detail publikace

Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks

SLANINA, M. ŘÍČNÝ, V.

Originální název

Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

The paper presents a video quality metric designed for the H.264/AVC codec. The metric operates directly on the encoded H.264/AVC bit stream, parses the encoding parameters and processes them using an artificial neural network. The network is designed to estimate peak signal-to-noise ratios of the video sequence frames, thus enabling computation of full reference objective quality metric values without having the undistorted video material prior to encoding for comparison. We present the metric framework and test its performance for LDTV (low definition television) as well as HDTV (high definition television) video material.

Klíčová slova

H.264/AVC, video quality, objective quality metric, HDTV, artificial neural network.

Autoři

SLANINA, M.; ŘÍČNÝ, V.

Rok RIV

2008

Vydáno

30. 9. 2008

ISSN

1210-2512

Periodikum

Radioengineering

Ročník

17

Číslo

3

Stát

Česká republika

Strany od

103

Strany do

108

Strany počet

6

BibTex

@article{BUT47911,
  author="Martin {Slanina} and Václav {Říčný}",
  title="Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks",
  journal="Radioengineering",
  year="2008",
  volume="17",
  number="3",
  pages="103--108",
  issn="1210-2512"
}