Estimating H.264/AVC Video PSNR Without Reference Using the Artificial Neural Network Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU75052" target="_blank" >RIV/00216305:26220/08:PU75052 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Estimating H.264/AVC Video PSNR Without Reference Using the Artificial Neural Network Approach
Original language description
This paper presents a method capable of estimating peak signal-to-noise ratios (PSNR) of digital video sequences compressed using the H.264/AVC algorithm. The idea is in replacing a full reference metric - the PSNR (for whose evaluation we need the original as well as the processed video data) - with a no reference metric, operating on the encoded bit stream only. As we are working just with the encoded bit stream, we can spare a significant amount of computations needed to decode the video pixel values. In this paper, we describe the network inputs and network configurations, suitable to estimate PSNR in intra and inter predicted pictures. Finally, we make a simple evaluation of the proposed algorithm, having the correlation coefficient of the real and estimated PSNRs as the measure of optimality.
Czech name
Estimace PSNR v sekvencích komprimovaných ve strandardu H.264/AVC s využitím umělých neuronových sítí.
Czech description
Článek popisuje metodu pro výpočet špičkového poměru signál-šum v reálných video sekvencích komprimovaných dle standardu H.264/AVC. Pro výpočet není nutná originální video sekvence před komprimací, jedná se tedy o metodu bez reference.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GD102%2F08%2FH027" target="_blank" >GD102/08/H027: Advanced Methods, Structures and Components of Electronic Wireless Communication</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sigmap 2008 International Conference on Signal Processing and Multimedia Applications Proceedings
ISBN
978-989-8111-60-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
INSTICC
Place of publication
Porto
Event location
Porto
Event date
Jul 26, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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