Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19274
Title: Efficient rate-distortion optimization techniques for H.264
Authors: Yu, Hongtao
Keywords: DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory
Issue Date: 2009
Source: Yu, H. (2009). Efficient rate-distortion optimization techniques for H.264. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: This thesis addresses the rate-distortion optimization (RDO) techniques for H.264. The research of the current project aims at improving the coding efficiency of video sequences. It proposes several efficient RDO techniques for H.264. These techniques include rate control, perceptual bit allocation and fast mode decision. To solve the rate control problem in H.264, we propose a motion complexity measure and a minimum distortion based mode decision process. The motion complexity measure can represent the complexity of a video frame’s motion contents effectively and is used to estimate the frame’s target bit in frame level bit allocation. Different from other existing H.264 rate control methods, quantization parameter (QP) of a macroblock is accurately estimated based on the minimum distortion after full-search of all coding modes. According to the motion complexity measure and minimum distortion mode decision process, an efficient rate control scheme is proposed. To solve the perceptual bit allocation problem in H.264, we propose a Lagrangian multiplier update algorithm in mode decision. The Lagrangian multiplier update algorithm decides the macroblock coding mode according to the perceptual characteristics of video contents, so that more bits are allocated to pixels which are perceptually more important and fewer bits are allocated to pixels which are perceptually less important.
URI: https://hdl.handle.net/10356/19274
DOI: 10.32657/10356/19274
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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