DocumentCode
442773
Title
Error-resilient video transmission using multiple embedded Wyner-Ziv descriptions
Author
Rane, Shantanu ; Aaron, Anne ; Girod, Bernd
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume
2
fYear
2005
fDate
11-14 Sept. 2005
Abstract
This paper proposes systematic lossy error protection of video waveforms using multiple embedded Wyner-Ziv video descriptions. A video signal transmitted over an error-prone channel, without channel coding, constitutes the systematic portion of the transmission. Error protection is achieved by additionally transmitting two or more bitstreams generated by Wyner-Ziv coding of the video signal. The Wyner-Ziv bitstreams contain multiple embedded coarsely quantized descriptions of the original video signal. In the event of channel errors, the Wyner-Ziv descriptions are decoded, thereby limiting the maximum distortion that can occur. The available Wyner-Ziv bit-rate is allocated among the multiple embedded descriptions, using the observation that the visibility of slice losses and quantization artifacts depends on the employed coding structure. Experimental results show that the trade-off between error-resilience and residual quantization distortion can be better exploited using multiple embedded Wyner-Ziv descriptions, compared to earlier results with a single Wyner-Ziv bitstream. The system delivers gracefully deteriorating video quality without requiring a layered video compression scheme in the systematic portion of the transmission.
Keywords
combined source-channel coding; telecommunication channels; video coding; video streaming; Wyner-Ziv bitstreams; decoding; embedded Wyner-Ziv video; error-prone channel; error-resilient video transmission; lossy error protection; multiple embedded Wyner-Ziv descriptions; residual quantization distortion; source-channel coding; video signal; video waveforms; Codecs; Decoding; Degradation; Error correction; Forward error correction; Information systems; Laboratories; Protection; Quantization; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1530143
Filename
1530143
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