Consistent Estimation of Erased Data in a DPCM Based Multiple Description Coding System

Authors:
Raghavendra Singh;Antonio Ortega
Affiliations:
IBM Indian Research Laboratory, Indian Institute of Technology, Delhi, India;Integrated Media Systems Center, University of Southern California, Los Angeles, USA
Venue:
Journal of VLSI Signal Processing Systems
Year:
2003

Citing 3
Cited 2

Optimal Multiple Description Transform Coding of Gaussian Vectors

DCC '98 Proceedings of the Conference on Data Compression
A Viterbi based decoding algorithm for multiple description variable length codes

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Entropy-constrained halftoning using multipath tree coding

IEEE Transactions on Image Processing

Estimation of erased data in a H.263 coded stream by using unbalanced multiple description coding

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
A sequence-based error-concealment algorithm for an unbalanced multiple description video coding system

Image Communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we tackle the problem of error propagation that packet losses can cause in commonly used predictive coding environments. Using multiple description coding (MDC) to generate redundant source data, we propose an algorithm for estimating the lost data in a DPCM coded stream. The novelty of our algorithm is that it uses a sequence search to verify the consistency of the estimates with the received data. In addition for the proposed MDC system, we have developed DPCM encoders which use simple quantizers such as uniform threshold quantizers, and do not require any special indexing or transform. The advantage of this encoder is that it gives good results and it can be constructed using standard codecs.