Title :
Distributed Multiple Description Video Coding on Packet Loss Channels
Author :
Fan, Yuhua ; Wang, Jia ; Sun, Jun
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fDate :
6/1/2011 12:00:00 AM
Abstract :
In this paper, we are to solve the drift problem of multiple description video coding on packet loss channels by using state-of-the-art distributed techniques. We first present an asymptotically optimal code design of multiple descriptions in the Wyner-Ziv (MDWZ) setting. Then we propose a distributed multiple description video coding (DMDVC) scheme, which performs MDWZ coding on each nonintra coded frame. Instead of the prediction loops used in traditional multiple description video coding, Slepian-Wolf based coding is used to exploit interframe correlations. A bitplane extraction scheme is proposed to improve the balance between two descriptions, so that side informations can be interchanged between the side decoders of DMDVC with negligible quality degradation, which is crucial to robust transmission over packet loss channels. Experiment results demonstrate the robustness of our scheme, especially at high packet loss rates.
Keywords :
video coding; DMDVC; MDWZ coding; Slepian-Wolf based coding; Wyner-Ziv setting; asymptotically optimal code design; distributed multiple description video coding; multiple description video coding; nonintra coded frame; packet loss channels; robust transmission; Bismuth; Codecs; Decoding; Encoding; Quantization; Random variables; Redundancy; Drift problem; multiple description video coding (MDVC); multiple descriptions in the Wyner–Ziv setting (MDWZ); packet loss channels; Algorithms; Artifacts; Computer Communication Networks; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2010.2097271