TY - GEN
T1 - An H.264/SVC memory architecture supporting spatial and course-grained quality scalabilities
AU - Narvekar, Niranjan D.
AU - Konnanath, Bharatan
AU - Mehta, Shalin
AU - Chintalapati, Santosh
AU - AlKamal, Ismail
AU - Chakrabarti, Chaitali
AU - Karam, Lina
PY - 2009/1/1
Y1 - 2009/1/1
N2 - 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 powerconsuming and time-intensive external memory accesses.
AB - 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 powerconsuming and time-intensive external memory accesses.
KW - CGS
KW - Decoder architecture
KW - H.264/AVC
KW - Scalable Video Coding (SVC)
UR - http://www.scopus.com/inward/record.url?scp=77951953817&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951953817&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2009.5414130
DO - 10.1109/ICIP.2009.5414130
M3 - Conference contribution
AN - SCOPUS:77951953817
SN - 9781424456543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2661
EP - 2664
BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PB - IEEE Computer Society
T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009
Y2 - 7 November 2009 through 10 November 2009
ER -