DocumentCode :
1866689
Title :
Scalable video compression and spatiotemporal scalability with lifted pyramid and antialiased DWT schemes
Author :
Leung, Raymond ; Taubman, David
Author_Institution :
Univ. of New South Wales, Sydney, NSW
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1216
Lastpage :
1219
Abstract :
This paper examines the effects of aliasing and investigates the extent to which different transform structures support spatiotemporal scalability. The efficacy of an open-loop spatial pyramid and antialiased DWT schemes are assessed under scalable conditions in terms of their ability to generate highly compressible quality embedded subsets at reduced resolution. The main emphasis is placed on lifting inspired structures with noise suppression or antialiasing properties. As an example, the DWT is augmented with spectral energy exchange lifting steps which disperse aliased content from critical regions of the video sequence at reduced resolution. Finally, we propose alternate ways to characterize a video compression system based on the amount of shift variance and aliasing distortion incurred in half resolution sequences.
Keywords :
data compression; discrete wavelet transforms; image resolution; video coding; antialiased DWT schemes; discrete wavelet transform; half resolution sequences; reduced resolution; scalable video compression; spatial pyramid DWT schemes; spatiotemporal scalability; spectral energy exchange; video sequence; Discrete wavelet transforms; Energy resolution; Frequency; Image reconstruction; Laplace equations; Scalability; Spatial resolution; Spatiotemporal phenomena; Video compression; Video sequences; Antialiasing; Lifted Pyramid; Packet DWT; Scalability; Video Coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4711980
Filename :
4711980
Link To Document :
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