title: GOP-based channel rate allocation using genetic algorithm for scalable video streaming over error-prone networks.
abstract: In this paper, we address the problem of unequal error protection (UEP) for scalable video transmission over wireless packet-erasure channel. Unequal amounts of protection are allocated to the different frames (I- or P-frame) of a group-of-pictures (GOP), and in each frame, unequal amounts of protection are allocated to the progressive bit-stream of scalable video to provide a graceful degradation of video quality as packet loss rate varies. We use a genetic algorithm (GA) to quickly get the allocation pattern, which is hard to get with other conventional methods, like hill-climbing method. Theoretical analysis and experimental results both demonstrate the advantage of the proposed algorithm.
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798 Singapore. tfang@pmail.ntu.edu.sg
authors.forename: Tao
authors.initials: T
authors.lastname: Fang
authors.forename: Lap-Pui
authors.initials: LP
authors.lastname: Chau
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003195:Computer Communication Networks; D003198:Computer Simulation; D044962:Data Compression / Q000379:methods*; D003627:Data Interpretation, Statistical; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008957:Models, Genetic; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted; D014741:Video Recording / Q000379:methods*