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Journal ArticleDOI

Low-complexity transform and quantization in H.264/AVC

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TLDR
The 4/spl times/4 transforms in H.264 can be computed exactly in integer arithmetic, thus avoiding inverse transform mismatch problems and minimizing computational complexity, especially for low-end processors.
Abstract
This paper presents an overview of the transform and quantization designs in H.264. Unlike the popular 8/spl times/8 discrete cosine transform used in previous standards, the 4/spl times/4 transforms in H.264 can be computed exactly in integer arithmetic, thus avoiding inverse transform mismatch problems. The new transforms can also be computed without multiplications, just additions and shifts, in 16-bit arithmetic, thus minimizing computational complexity, especially for low-end processors. By using short tables, the new quantization formulas use multiplications but avoid divisions.

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Citations
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Journal ArticleDOI

Overview of the H.264/AVC video coding standard

TL;DR: An overview of the technical features of H.264/AVC is provided, profiles and applications for the standard are described, and the history of the standardization process is outlined.
Journal ArticleDOI

Video Compression - From Concepts to the H.264/AVC Standard

TL;DR: This paper starts with an explanation of the basic concepts of video codec design and then explains how various features have been integrated into international standards, up to and including the most recent such standard, known as H.264/AVC.
Journal ArticleDOI

Rate-distortion analysis for H.264/AVC video coding and its application to rate control

TL;DR: A new rate-distortion (R-D) model is proposed by utilizing the true quantization stepsize and an improved rate-control scheme for the H.264/AVC encoder based on this new R-D model is developed.
Journal ArticleDOI

Analysis, fast algorithm, and VLSI architecture design for H.264/AVC intra frame coder

TL;DR: This paper proposed two solutions for platform-based design of H.264/AVC intra frame coder with comprehensive analysis of instructions and exploration of parallelism, and proposed a system architecture with four-parallel intra prediction and mode decision to enhance the processing capability.
References
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Book

Discrete Cosine Transform: Algorithms, Advantages, Applications

TL;DR: This paper presents two Dimensional DCT Algorithms and their relations to the Karhunen-Loeve Transform, and some applications of the DCT, which demonstrate the ability of these algorithms to solve the discrete cosine transform problem.
Book

Signal processing with lapped transforms

TL;DR: Applications of transforms in signal processing signal processing in subbands lapped orthogonal transforms the modulated lapped transform heirarchical lapped transforms applications of lapping transforms.
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