TY - JOUR
T1 - Rate-distortion optimized unequal loss protection for video transmission over packet erasure channels
AU - Zhang, Yongfei
AU - Qin, Shiyin
AU - Li, Bo
AU - He, Zhihai
PY - 2013/11
Y1 - 2013/11
N2 - Video transmission over networks often suffers from packet loss due to network congestions and stringent end-to-end delay constraints. In this paper, we develop a Rate-Distortion optimized Unequal Loss Protection (RD-ULP) scheme to combat packet loss. Based on packet-level transmission distortion modeling, we estimate the amount of contribution of each video packet to the reconstructed video quality, which defines the priority level of each packet. Unequal amounts of protection are then allocated to different video packets according to their priority levels and the dynamic channel conditions. The proposed RD-ULP resource allocation problem is formulated as a constrained nonlinear optimization problem. An optimization algorithm based on Particle Swarm Optimization (PSO) is then developed to solve the optimal resource allocation problem. Our extensive experimental results demonstrate the effectiveness of the proposed RD-ULP scheme, which outperforms existing methods by up to 2 dB in the reconstructed video quality.
AB - Video transmission over networks often suffers from packet loss due to network congestions and stringent end-to-end delay constraints. In this paper, we develop a Rate-Distortion optimized Unequal Loss Protection (RD-ULP) scheme to combat packet loss. Based on packet-level transmission distortion modeling, we estimate the amount of contribution of each video packet to the reconstructed video quality, which defines the priority level of each packet. Unequal amounts of protection are then allocated to different video packets according to their priority levels and the dynamic channel conditions. The proposed RD-ULP resource allocation problem is formulated as a constrained nonlinear optimization problem. An optimization algorithm based on Particle Swarm Optimization (PSO) is then developed to solve the optimal resource allocation problem. Our extensive experimental results demonstrate the effectiveness of the proposed RD-ULP scheme, which outperforms existing methods by up to 2 dB in the reconstructed video quality.
KW - Particle Swarm Optimization (PSO)
KW - Resource allocation
KW - Transmission distortion modeling
KW - Unequal Loss Protection (ULP)
KW - Video transmission
UR - https://www.scopus.com/pages/publications/84888203668
U2 - 10.1016/j.image.2013.05.009
DO - 10.1016/j.image.2013.05.009
M3 - 文章
AN - SCOPUS:84888203668
SN - 0923-5965
VL - 28
SP - 1390
EP - 1404
JO - Signal Processing: Image Communication
JF - Signal Processing: Image Communication
IS - 10
ER -