Model-based joint source channel coding for subband video

The objective of joint source channel coding (JSCC) is to optimally allocate the available channel bandwidth between source coding and channel coding in order to minimize the average distortion in the presence of packet losses. Unlike previous research, which focuses on determining distortion-optimi...

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Vydáno v:IEEE signal processing letters Ročník 13; číslo 6; s. 341 - 344
Hlavní autoři: Mingshi Wang, van der Schaar, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2006
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Analytical models
Bandwidth
Channel coding
Channels
Coding
Computational efficiency
Distortion
Dynamic programming
Joint source channel coding (JSCC)
Mathematical analysis
Mathematical models
Nonlinear distortion
Nonlinear equations
Nonlinear programming
nonlinear programming (NP)
operational rate-distortion (R-D) model
Optimization
Rate-distortion
Source coding
three-dimensional (3-D) wavelet subband coding
Video coding
Wavelet analysis
ISSN:1070-9908, 1558-2361
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Shrnutí:The objective of joint source channel coding (JSCC) is to optimally allocate the available channel bandwidth between source coding and channel coding in order to minimize the average distortion in the presence of packet losses. Unlike previous research, which focuses on determining distortion-optimized methods for JSCC using either assumptions about the rate-distortion (R-D) curve properties of source data (e.g., convexity) or experimental R-D data, we explicitly employ the analytical operational R-D model of a three-dimensional wavelet video coder to solve the JSCC problem. Using this model, we formulated the JSCC optimization as a nonlinear programming (NP) problem. By expressing the NP problem in terms of a dynamic programming equation, we derived the necessary conditions that facilitate the search for global optimal solutions. In this letter, we focus on finding the optimal JSCC problem for subband video coding and not on deriving computationally efficient methods for JSCC.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2006.871717