Efficient rate-distortion estimation for H.264/AVC coders

Authors:
Yu-Kuang Tu;Jar-Ferr Yang;Ming-Ting Sun
Affiliations:
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan;-;-
Venue:
IEEE Transactions on Circuits and Systems for Video Technology
Year:
2006

Citing 0
Cited 6

Efficient Bit-Rate Estimation for Mode Decision of H.264/AVC

ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
An efficient intra-mode selection algorithm for H.264 based on edge classification and rate-distortion estimation

Image Communication
Fast inter-mode decision in an H.264/AVC encoder using mode and Lagrangian cost correlation

IEEE Transactions on Circuits and Systems for Video Technology
Algorithm analysis and architecture design for rate distortion optimized mode decision in high definition AVS video encoder

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A perceptual macroblock layer power control for energy scalable video encoder based on just noticeable distortion principle

Journal of Network and Computer Applications
Parallel fast inter mode decision for H.264/AVC encoding

Journal of Visual Communication and Image Representation

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Abstract

In video coders, the optimal coding mode decision for each coding block can be achieved by exhaustively calculating the rate-distortion cost, which simultaneously considers the distortion performance and the coding bit consumption of all possible modes. The best mode is chosen from the one with the minimum Lagrange cost. To avoid the expensive computation of Lagrange costs, in this paper, we propose transform-domain bit-rate estimation and distortion measures, based on quantized and inverse quantized integer transform coefficients, for the inter-mode decision in H.264/AVC coders. With the proposed scheme, entropy coding, inverse transform, and pixel-reconstructions are not required in the process. With ignorable degradation in coding performance, simulations demonstrate that the proposed estimation method achieves about 40% reduced computation time of rate-distortion cost for the inter-mode decision and saves about 17% total encoding time while combining with fast motion estimation and fast mode decision algorithms.