DocumentCode :
3489012
Title :
An H.264/SVC memory architecture supporting spatial and course-grained quality scalabilities
Author :
Narvekar, Niranjan D. ; Konnanath, Bharatan ; Mehta, Shalin ; Chintalapati, Santosh ; AlKamal, Ismail ; Chakrabarti, Chaitali ; Karam, Lina J.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
2661
Lastpage :
2664
Abstract :
The standardized scalable video coding (SVC) extension of H.264/AVC achieves significant improvements in coding efficiency relative to the scalable profiles of prior video coding standards, but its computational complexity and memory access requirements make the design of a low power hardware architecture a challenging task. This paper presents an SVC decoder architecture supporting spatial and coarse-grained quality scalability. The architecture optimizes the size of the on-chip memory and reduces the power-consuming and time-intensive external memory accesses.
Keywords :
low-power electronics; memory architecture; video coding; H.264/AVC; H.264/SVC memory architecture; SVC decoder architecture; coding efficiency; computational complexity; course-grained quality scalability; low power hardware architecture; memory access requirement; on-chip memory; power consumption; spatial quality scalability; standardized scalable video coding; Application specific integrated circuits; Automatic voltage control; Computer architecture; Decoding; Hardware; Memory architecture; Memory management; Scalability; Static VAr compensators; Video coding; CGS; H.264/AVC; Scalable Video Coding (SVC); decoder architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414130
Filename :
5414130
Link To Document :
بازگشت