Efficient quantization based on rate-distortion optimization for video coding
Journal
IEEE Transactions on Circuits and Systems for Video Technology
Journal Volume
26
Journal Issue
6
Pages
1099-1106
Date Issued
2016
Author(s)
Huang, T.-Y.
Abstract
Most rate-distortion (R-D) optimized quantization methods of video coding involve an exhaustive search process to determine the optimal quantized transform coefficients of a coding block and are computationally more expensive than the conventional quantization. In this paper, we present a novel analytical method that directly solves the rate-distortion optimization problem in a closed form by employing a rate model for entropy coding. It has the appealing property of low complexity and is easy to implement. The results show that the proposed method is 4× to 40× faster than the previous methods and 3%-5% more efficient in bitrate than the H.264/AVC reference encoder, which uses the conventional quantization, for video coded with the IBBP structure of group of pictures (GOP) in the normal peak signal-to-noise ratio (PSNR) range (30-40 dB).
Type
journal article