This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Data Compression Conference (DCC '00)
Multi-Resolution Adaptation of the SPIHT Algorithm for Multiple Description
Snowbird, Utah
March 28-March 30
ISBN: 0-7695-0592-9
N. Varnica, University of Belgrade
M. Fleming, California Institute of Technology
M. Effros, California Institute of Technology
Multiple description codes are data compression algorithms designed with the goal of minimizing the distortion caused by data loss in packet-based or diversity communications systems. Recently, techniques that achieve multiple description coding by combining embedded source codes with unequal error protection channel codes have become popular in the literature.These codes allow for data reconstruction with any subset of the transmitted packets and achieve progressively better source reconstructions as more and more packets are decoded. The given methods may be applied to any embedded source description. While applicability to all embedded source codes provides great flexibility, this separation approach begs the question of whether better performance could be achieved by taking advantage of the internal structure of a particular embedded code.In this paper, we investigate an extremely simple method for using an embedded source code's internal state information in the construction of a multiple description code. In particular, we protect an embedded SPIHT bitstream by adding to that bitstream periodic descriptions of the state information from the encoder. For low probabilities of network packet loss, the proposed algorithm achieves performance within 0.35 dB of the performance of a more sophisticated channel coding algorithm when both algorithms are applied to same SPIHT embedded source code.
Index Terms:
Multiple description, multi-resolution, SPIHT, separation principle, state information
Citation:
N. Varnica, M. Fleming, M. Effros, "Multi-Resolution Adaptation of the SPIHT Algorithm for Multiple Description," dcc, pp.303, Data Compression Conference (DCC '00), 2000
Usage of this product signifies your acceptance of the Terms of Use.