Please use this identifier to cite or link to this item: https://doi.org/10.1109/RSP.2008.22
Title: Implementation strategies for statistical codec designs in H.264/AVC standard
Authors: Tian, X.H.
Le, T.M. 
Jiang, X. 
Lian, Y. 
Issue Date: 2008
Source: Tian, X.H., Le, T.M., Jiang, X., Lian, Y. (2008). Implementation strategies for statistical codec designs in H.264/AVC standard. Proceedings The 19th IEEE/IFIP International Symposium on Rapid System Prototyping - Shortening the Path from Specification to Prototype, RSP 2008 : 151-157. ScholarBank@NUS Repository. https://doi.org/10.1109/RSP.2008.22
Abstract: Two statistical coding tools - the Context-based Adaptive Variable Length Coding (CAVLC) and the Context-based Adaptive Binary Arithmetic Coding (CABAC) - have been adopted in different profiles of the H.264/AVC video coding standard. The throughput at the statistical coding stage is mainly constrained by the high data dependency and sequential coding nature of CAVLC and CABAC. Many hardware designs have been proposed to remove the bottlenecks and accelerate statistical coding and decoding of H.264/AVC. In this paper, different implementation strategies of CAVLC and CABAC encoder and decoder architectures are investigated. The strategies are evaluated using criteria such as circuit area, processing time, and power consumption. The three most important techniques used are: multi-symbol processing, table lookup optimization, and critical path reduction by data prefetch and pre-calculation. In the discussion of CABAC encoder design, our implementation strategies are introduced and compared with other reported designs. © 2008 IEEE. DOI 10.1109/RSP.2008.22.
Source Title: Proceedings The 19th IEEE/IFIP International Symposium on Rapid System Prototyping - Shortening the Path from Specification to Prototype, RSP 2008
URI: http://scholarbank.nus.edu.sg/handle/10635/70546
ISBN: 9780769531809
DOI: 10.1109/RSP.2008.22
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

1
checked on Nov 20, 2017

Page view(s)

24
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.