DocumentCode :
2455168
Title :
Prediction of High Resolution Data from a Coded Low Resolution Grid within the Context of SVC
Author :
Segall, Andrew
Author_Institution :
Sharp Labs. of America, Camas, WA
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
396
Lastpage :
400
Abstract :
The joint video team is currently involved in a standardization effort to extend the AVC/H.264 video coding standard to support spatial scalability. The current system utilizes a pyramidal coding framework, where higher spatial resolutions are predicted from lower spatial resolutions and subsequently refined with an enhancement bit-stream. In this paper, the author considers the problem of mapping the lower resolution data to the higher resolution grid. The overall design methodology of the standardization project is described and an optimal method for filter design is considered.
Keywords :
image resolution; standardisation; video coding; AVC/H.264 video coding standard; SVC; filter design; high resolution data; low resolution grid; scalable video coding; spatial resolutions; spatial scalability; Automatic voltage control; Code standards; Design methodology; Displays; Scalability; Spatial resolution; Standardization; Static VAr compensators; Video coding; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2006.354776
Filename :
4176586
Link To Document :
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