Title :
GOP-based channel rate allocation using genetic algorithm for scalable video streaming over error-prone networks
Author :
Fang, Tao ; Chau, Lap-Pui
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
6/1/2006 12:00:00 AM
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.
Keywords :
channel allocation; genetic algorithms; radio networks; video coding; video streaming; wireless channels; GOP-based channel rate allocation; error-prone networks; genetic algorithm; group-of-pictures; packet loss rate; progressive bit-stream; scalable video coding; scalable video streaming; scalable video transmission; unequal error protection; wireless packet-erasure channel; Algorithm design and analysis; Degradation; Error correction; Error correction codes; Forward error correction; Genetic algorithms; Streaming media; Video coding; Wireless LAN; Wireless networks; Equal error protection (EEP); Reed–Solomon coding; forward error correction; genetic algorithm (GA); group-of-pictures; scalable video coding; unequal error protection (UEP); wireless packet-erasure channel; Algorithms; Artifacts; Computer Communication Networks; Computer Simulation; Data Compression; Data Interpretation, Statistical; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Genetic; Models, Statistical; Signal Processing, Computer-Assisted; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.864159