Title
An efficient request stopping method at the turbo decoder in distributed video coding
Abstract
Most of the literature on distributed video coding (DVC) is based on a Wyner-Ziv video coding architecture that adopts turbo codes to replace conventional source coding tools. By moving the motion estimation task at the decoder, it achieves light encoding complexity. Nevertheless, this scheme has a serious limitation that hinders its practical application. In fact, the decoder needs an effi- cient way to estimate the probability of error without assuming the availability of the original video at the decoder. The original frames are used to detect when a sufficient number of parity bits are re- ceived, in order to guarantee a residual BER (bit-error rate) below a given threshold, typically set to be equal to 10 3. In this paper we investigate the use of a practical stopping criterion that can be used to detect successful decoding, without the need to have access to the original frames. We study the robustness of this method for binary i.i.d. sequences transmitted over a BSC channel. We show that there is a tradeoff between residual BER and rate overhead, that can be adjusted by tuning the threshold of the stopping criterion. We ap- ply these concepts to both pixel-domain Wyner-Ziv coding (PDWZ) and transform-domain Wyner-Ziv coding (TDWZ), showing that the rate-distortion performance is only marginally affected by the lack of original frames at the decoder. A maximum loss of 0.1dB is ob- served at high bit-rates.
Year
Venue
Keywords
2007
EUSIPCO
computational complexity,error statistics,turbo codes,video coding,dvc,wyner-ziv video coding architecture,distributed video coding,light encoding complexity,pixel-domain wyner-ziv coding,rate-distortion performance,request stopping method,residual ber,residual bit-error rate,transform-domain wyner-ziv coding,turbo decoder
Field
DocType
ISBN
Coding gain,Coding tree unit,Computer science,Algorithm,Real-time computing,Distributed source coding,Soft-decision decoder,Harmonic Vector Excitation Coding,Shannon–Fano coding,Variable-length code,Context-adaptive binary arithmetic coding
Conference
978-839-2134-04-6
Citations 
PageRank 
References 
7
0.68
3
Authors
4
Name
Order
Citations
PageRank
Marco Tagliasacchi186968.63
Pedro, J.270.68
Fernando Pereira3177172124.79
Stefano Tubaro41033119.50