Title :
Estimating PSNR without reference for real H.264/AVC sequence intra frames
Author :
Martin Slanina;Vaclav Ricny
Author_Institution :
Dept. of Radio Electronics, Brno University of Technology, Purky?ova 118, 612 00, Czech Republic
fDate :
4/1/2008 12:00:00 AM
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.
Keywords :
"PSNR","Automatic voltage control","Quality assessment","Streaming media","Testing","Decoding","Humans","Video compression","Artificial neural networks","Usability"
Conference_Titel :
Radioelektronika, 2008 18th International Conference
Print_ISBN :
978-1-4244-2087-2
DOI :
10.1109/RADIOELEK.2008.4542692
