DocumentCode :
2615267
Title :
Efficient spatio-temporal decomposition for perceptual processing of video sequences
Author :
Lindh, Par ; Van Den Branden Lambrech, Christian J.
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Volume :
3
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
331
Abstract :
This paper presents a vision model for moving pictures. The model is an extension of a normalization model by Teo and Heeger (1994). It accounts for normalization of the cortical receptive field responses and inter-channel masking. The model is compared with a simpler vision model for video by presenting results on quality assessment of MPEG compressed video
Keywords :
data compression; image sequences; video coding; visual perception; MPEG compressed video coding quality; cortical receptive field responses; inter-channel masking; moving pictures; normalization model; perceptual processing; quality assessment; spatio-temporal decomposition; video sequences; vision model; Brain modeling; Frequency; Image coding; Neurons; Predictive models; Quality assessment; Transform coding; Video compression; Video sequences; Video signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560498
Filename :
560498
Link To Document :
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