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Proceedings ArticleDOI

An optimal transform architecture for H.264/AVC

TLDR
The design of the area optimized integer Two Dimensional Discrete Cosine Transform (2-D DCT) used in H.264/AVC codecs is presented.
Abstract
This paper presents the design of the area optimized integer Two Dimensional Discrete Cosine Transform (2-D DCT) used in H.264/AVC codecs. The 2-D DCT calculation is performed by utilizing the separability property, in such a way that 2-D DCT is divided into two 1-D DCT calculation that are joined through a common memory. Due to its area optimized approach, the design will find application in mobile devices. Verilog hardware description language (HDL) in cadence environment has been used for design, compilation, simulation and synthesis of transform block in 0.18µ TSMC technology.

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References
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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

Rate-constrained coder control and comparison of video coding standards

TL;DR: A unified approach to the coder control of video coding standards such as MPEG-2, H.263, MPEG-4, and the draft video coding standard H.264/AVC (advanced video coding) is presented.
Book

Introduction to data compression

TL;DR: The author explains the development of the Huffman Coding Algorithm and some of the techniques used in its implementation, as well as some of its applications, including Image Compression, which is based on the JBIG standard.
Proceedings ArticleDOI

Overview of the H.264/AVC video coding standard

TL;DR: An overview of H.264/MPEG-4 AVC is provided and some comparisons with the existing standards, MPEG-2 and MPEG-4 Part 2, are also provided.
Journal ArticleDOI

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

TL;DR: 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.
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