DocumentCode :
531824
Title :
Comparing spatial masking modelling in just noticeable distortion controlled H.264/AVC video coding
Author :
Naccari, Matteo ; Pereira, Fernando
Author_Institution :
Inst. Super. Tecnico, Inst. de Telecomun., Lisboa, Portugal
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
1
Lastpage :
4
Abstract :
This paper studies the integration of a just noticeable distortion model in a H.264/AVC standard codec to improve the final rate-distortion performance. Three masking aspects related to lossy transform coding and natural video contents are considered: frequency band decomposition, luminance component variations and pattern masking. For the latter aspect, three alternative models are considered, namely the Foley-Boynton, Foley-Boynton adaptive and Wei-Ngan models. Their performance, measured for high definition video content, and reported in terms of bitrate improvement and objective quality loss, reveals that the Foley-Boynton and its adaptive version provide the best performance with up to 35.6 % bitrate reduction at the cost of at most 1.4 % objective quality loss.
Keywords :
error statistics; rate distortion theory; transform coding; video codecs; video coding; Foley-Boynton adaptive model; H.264/AVC standard codec; H.264/AVC video coding; Wei-Ngan model; bitrate improvement; bitrate reduction; frequency band decomposition; high definition video content; lossy transform coding; luminance component variation; natural video content; noticeable distortion model; pattern masking; quality loss; rate-distortion performance; spatial masking modelling; Adaptation model; Automatic voltage control; Bit rate; Computational modeling; Discrete cosine transforms; Mathematical model; Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
Conference_Location :
Desenzano del Garda
Print_ISBN :
978-1-4244-7848-4
Electronic_ISBN :
978-88-905328-0-1
Type :
conf
Filename :
5617676
Link To Document :
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