Share Email Print

Proceedings Paper

Adaptive λ estimation in Lagrangian rate-distortion optimization for video coding
Author(s): Lulin Chen; Ilie Garbacea
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, adaptive Lagrangian multiplier λ estimation in Larangian R-D optimization for video coding is presented that is based on the ρ-domain linear rate model and distortion model. It yields that λ is a function of rate, distortion and coding input statistics and can be written as λ(R, D, σ2) = β(ln(σ2/D) + δ)D/R + k0, with β, δ and k0 as coding constants, σ2 is variance of prediction error input. λ(R, D, σ2) describes its ubiquitous relationship with coding statistics and coding input in hybrid video coding such as H.263, MPEG-2/4 and H.264/AVC. The lambda evaluation is de-coupled with quantization parameters. The proposed lambda estimation enables a fine encoder design and encoder control.

Paper Details

Date Published: 19 January 2006
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60772B (19 January 2006); doi: 10.1117/12.657435
Show Author Affiliations
Lulin Chen, Mobilygen Corp. (United States)
Ilie Garbacea, Mobilygen Corp. (United States)

Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?