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