DocumentCode
2298501
Title
High-Rate Analysis of Systematic Lossy Error Protection of a Predictively Encoded Source
Author
Rane, Shantanu ; Rebollo-Monedero, David ; Girod, Bernd
Author_Institution
Lab. of Inf. Syst., Stanford Univ., CA
fYear
2007
fDate
27-29 March 2007
Firstpage
263
Lastpage
272
Abstract
We consider a first-order Markov source, which is predictively encoded using a DPCM-style encoder. The quantized compressed prediction residual is transmitted over an erasure channel. Additionally, a Wyner-Ziv encoded version of the prediction residual is transmitted in order to provide error resilience. When the symbols from the first transmission are erased by the channel, this second description is decoded, and limits the maximum distortion that can occur. Since the quantization step size used in the second description is, in general, larger than that used in the main transmission, error protection is lossy. Using high-rate quantization theory, we derive expressions for the rate and the end-to-end distortion incurred by this system. We show that, compared to conventional lossless forward error correction, this lossy error protection scheme is robust in the sense that it allows the received signal quality to degrade gracefully when the erasure probability increases
Keywords
Markov processes; combined source-channel coding; forward error correction; image coding; visual communication; DPCM-style encoder; Wyner-Ziv encoded version; erasure channel; first-order Markov source; forward error correction; high-rate quantization theory; lossy error protection scheme; predictively encoded source; quantized compressed prediction; systematic lossy error protection; Decoding; Degradation; Error correction; Forward error correction; Propagation losses; Protection; Quantization; Resilience; Robustness; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2007. DCC '07
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-7695-2791-4
Type
conf
DOI
10.1109/DCC.2007.45
Filename
4148765
Link To Document