TY - GEN
T1 - A new rate-quantization model for H.264/AVC low-delay rate control
AU - Hou, Junhui
AU - Wan, Shuai
AU - Ma, Zhan
AU - Yang, Fuzheng
AU - Chau, Lap-Pui
PY - 2012
Y1 - 2012
N2 - In this paper, we present a new rate-quantization (R-Q) model for H.264/AVC low-delay rate control. Our rate model is a power function of the quantization stepsize, which is derived through theoretical analysis assuming the Laplacian distributed source. Model parameters are content adaptive and updated frame by frame. Proposed R-Q model is implemented on H.264/AVC reference software JM17.2 to evaluate the performance, where accurate quantization stepsize is selected for each frame according to the target bit rate. As compared to the most recent published work [5] and well-known R-Q model adopted in JM [13], we have shown that almost 2x performance improvement in terms of the bits mismatch error. © 2012 Springer-Verlag.
AB - In this paper, we present a new rate-quantization (R-Q) model for H.264/AVC low-delay rate control. Our rate model is a power function of the quantization stepsize, which is derived through theoretical analysis assuming the Laplacian distributed source. Model parameters are content adaptive and updated frame by frame. Proposed R-Q model is implemented on H.264/AVC reference software JM17.2 to evaluate the performance, where accurate quantization stepsize is selected for each frame according to the target bit rate. As compared to the most recent published work [5] and well-known R-Q model adopted in JM [13], we have shown that almost 2x performance improvement in terms of the bits mismatch error. © 2012 Springer-Verlag.
KW - H.264/AVC
KW - low-delay rate control
KW - Rate-quantization model
UR - http://www.scopus.com/inward/record.url?scp=84871439439&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84871439439&origin=recordpage
U2 - 10.1007/978-3-642-34778-8_46
DO - 10.1007/978-3-642-34778-8_46
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783642347771
VL - 7674 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 492
EP - 500
BT - Advances in Multimedia Information Processing, PCM 2012
PB - Springer Verlag
T2 - 13th Pacific-Rim Conference on Multimedia, PCM 2012
Y2 - 4 December 2012 through 6 December 2012
ER -