Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks
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Date
2008-09
Authors
ORCID
Advisor
Referee
Mark
Journal Title
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Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
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.
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Citation
Radioengineering. 2008, vol. 17, č. 3, s. 103-108. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2008/08_03_103_108.pdf
http://www.radioeng.cz/fulltexts/2008/08_03_103_108.pdf
Document type
Peer-reviewed
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Published version
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en