TY - GEN
T1 - A bandwidth-efficient embedded compression algorithm using two-level rate control scheme for video coding system
AU - Lee, Yu Hsuan
AU - Chen, Yi Cheng
AU - Tsai, Tsung Han
PY - 2010
Y1 - 2010
N2 - In modern video coding system, the memory bandwidth of external memory becomes more and more important and almost dominates the system performance. To save the memory bandwidth, the embedded compression (EC) technique is integrated into video coding system. In this paper, the bandwidth-efficient EC algorithm is proposed. It comprises three core techniques: side-oriented prediction, adjusted binary code (ABC) entropy coding, and two-level rate control scheme. The side-oriented prediction can save the extra bits for the representation of prediction residual. The prediction residual is allocated to an efficient codeword by ABC entropy coding. With two-level rate control scheme, not only the compression ratio (CR) can be precisely controlled, but also the visual quality is maintained. Experiment results show this work achieves the PSNR drop of 1.33%, and the error between CR and Target CR (TCR) is as minor as 1.60%. Consequently, this work is quite suitable for saving memory bandwidth in video coding system.
AB - In modern video coding system, the memory bandwidth of external memory becomes more and more important and almost dominates the system performance. To save the memory bandwidth, the embedded compression (EC) technique is integrated into video coding system. In this paper, the bandwidth-efficient EC algorithm is proposed. It comprises three core techniques: side-oriented prediction, adjusted binary code (ABC) entropy coding, and two-level rate control scheme. The side-oriented prediction can save the extra bits for the representation of prediction residual. The prediction residual is allocated to an efficient codeword by ABC entropy coding. With two-level rate control scheme, not only the compression ratio (CR) can be precisely controlled, but also the visual quality is maintained. Experiment results show this work achieves the PSNR drop of 1.33%, and the error between CR and Target CR (TCR) is as minor as 1.60%. Consequently, this work is quite suitable for saving memory bandwidth in video coding system.
UR - http://www.scopus.com/inward/record.url?scp=77955995131&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2010.5537318
DO - 10.1109/ISCAS.2010.5537318
M3 - 會議論文篇章
AN - SCOPUS:77955995131
SN - 9781424453085
T3 - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems
SP - 1149
EP - 1152
BT - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
T2 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
Y2 - 30 May 2010 through 2 June 2010
ER -