TY - JOUR
T1 - Efficient Lagrange multiplier selection for scalable video coding using temporal inter-layer dependency
AU - Yang, Kaifang
AU - Wan, Shuai
AU - Gong, Yanchao
AU - Feng, Yan
AU - Wu, Hong Ren
N1 - Publisher Copyright:
© 2014, Springer-Verlag London.
PY - 2015/10/26
Y1 - 2015/10/26
N2 - Designed for scalable video coding, an efficient algorithm for Lagrange multiplier selection, named as Lagrange multiplier selection with temporal scalability, is proposed based on inter-layer dependency in the temporal domain. The inter-layer dependency between the temporal base layer and higher temporal layers is explored and used to select the Lagrange multiplier, which leads to efficient allocation of bit budgets to different temporal layers according to their impact and importance in optimization of the overall video quality. Experimental results show that compared with using the original Lagrange multiplier in the reference software model of H.264/SVC (i.e., JSVM), the proposed Lagrange multiplier achieves a performance gain of up to 0.41 dB in $$\Delta PSNR$$ΔPSNR and 10.61 % in bit-rate reduction at various bit-rates. At lower bit-rates, the performance gain can be further improved. Consistent performance gain is also observed when compared with two other state-of-the-art Lagrange multiplier selection techniques for scalable video coding.
AB - Designed for scalable video coding, an efficient algorithm for Lagrange multiplier selection, named as Lagrange multiplier selection with temporal scalability, is proposed based on inter-layer dependency in the temporal domain. The inter-layer dependency between the temporal base layer and higher temporal layers is explored and used to select the Lagrange multiplier, which leads to efficient allocation of bit budgets to different temporal layers according to their impact and importance in optimization of the overall video quality. Experimental results show that compared with using the original Lagrange multiplier in the reference software model of H.264/SVC (i.e., JSVM), the proposed Lagrange multiplier achieves a performance gain of up to 0.41 dB in $$\Delta PSNR$$ΔPSNR and 10.61 % in bit-rate reduction at various bit-rates. At lower bit-rates, the performance gain can be further improved. Consistent performance gain is also observed when compared with two other state-of-the-art Lagrange multiplier selection techniques for scalable video coding.
KW - Hierarchical structure
KW - Lagrange multiplier
KW - Lagrangian optimization
KW - Scalable video coding
UR - http://www.scopus.com/inward/record.url?scp=84940448183&partnerID=8YFLogxK
U2 - 10.1007/s11760-014-0622-y
DO - 10.1007/s11760-014-0622-y
M3 - 文章
AN - SCOPUS:84940448183
SN - 1863-1703
VL - 9
SP - 1637
EP - 1647
JO - Signal, Image and Video Processing
JF - Signal, Image and Video Processing
IS - 7
ER -