Adaptive &#955; estimation in Lagrangian rate-distortion optimization for video coding

Lulin Chen; Ilie Garbacea

doi:10.1117/12.657435

19 January 2006 Adaptive λ estimation in Lagrangian rate-distortion optimization for video coding

Lulin Chen, Ilie Garbacea

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60772B (2006) https://doi.org/10.1117/12.657435
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Lulin Chen and Ilie Garbacea "Adaptive λ estimation in Lagrangian rate-distortion optimization for video coding", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60772B (19 January 2006); https://doi.org/10.1117/12.657435

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