TY - GEN
T1 - A linear dependent rate-quantization model for scalable video enhancement layer encoding
AU - Hou, Junhui
AU - Wan, Shuai
AU - Ma, Zhan
AU - Chau, Lap Pui
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/27
Y1 - 2015/7/27
N2 - In this paper, we propose a linear dependent rate-quantization model for video enhancement layers encoding in H.264/AVC based scalable video coding (SVC). It is noted that the proposed model is applicable for different scalable structures, such as temporal, quality, spatial and combined scalability. Leveraging the base layer information (such as bitrate and quantization parameter), proposed model can accurately predict the number of bit required for the enhancement layer encoding. Such linear model demonstrates the high accuracy for bitrate estimation at enhancement layers, with the average prediction accuracy over 94%. It has the noticeable improvement from the existing works, without requiring additional complexity increase. Meanwhile, proposed model is applied to do the rate control for enhancement layers encoding. Experimental results show that the average bitrate mismatch error can be significantly reduced compared with the existing algorithms.
AB - In this paper, we propose a linear dependent rate-quantization model for video enhancement layers encoding in H.264/AVC based scalable video coding (SVC). It is noted that the proposed model is applicable for different scalable structures, such as temporal, quality, spatial and combined scalability. Leveraging the base layer information (such as bitrate and quantization parameter), proposed model can accurately predict the number of bit required for the enhancement layer encoding. Such linear model demonstrates the high accuracy for bitrate estimation at enhancement layers, with the average prediction accuracy over 94%. It has the noticeable improvement from the existing works, without requiring additional complexity increase. Meanwhile, proposed model is applied to do the rate control for enhancement layers encoding. Experimental results show that the average bitrate mismatch error can be significantly reduced compared with the existing algorithms.
UR - http://www.scopus.com/inward/record.url?scp=84946218715&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2015.7169260
DO - 10.1109/ISCAS.2015.7169260
M3 - Conference article published in proceeding or book
AN - SCOPUS:84946218715
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2768
EP - 2771
BT - 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Symposium on Circuits and Systems, ISCAS 2015
Y2 - 24 May 2015 through 27 May 2015
ER -