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Proceedings Paper

Addressing the uncertainty in critical rate estimation for pixel-domain Wyner-Ziv video coding
Author(s): Abdul Rehman; Hu Chen; Eckehard Steinbach
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Paper Abstract

Distributed video coding is typically treated as a channel coding problem among others. The encoder generates parity bits (or syndrome bits) for the source and transmits part of them to the decoder for a certain target quality. The decoder tries to reconstruct the source using the received parity bits along with the side information available. In this paper, we aim to estimate the critical number of parity bits to transmit. Having observed the uncertainty of the critical rate, we model it as a random variable, use its distribution to calculate the decoding failure probability and formulate the expected distortion. We allocate a certain bit budget among different bit-planes such that the expected distortion is minimized. Moreover, we introduce fast decoding at the encoder, which helps us to estimate the critical rate far more accurately. Eventually, we achieve up to 1.5 dB gain in rate-distortion performance at high bit rates.

Paper Details

Date Published: 4 August 2010
PDF: 9 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774416 (4 August 2010); doi: 10.1117/12.863285
Show Author Affiliations
Abdul Rehman, Technische Univ. München (Germany)
Hu Chen, Technische Univ. München (Germany)
Eckehard Steinbach, Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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