NORMA eResearch @NCI Library

Fast Mode Decision in H.264/AVC

Lambert, Peter, Mys, Stefaan, Skorupa, Jozef, Slowack, Jürgen, Van de Walle, Rik, Yang, Ming Yuan, Grecos, Christos and Argiriou, Vassilios (2010) Fast Mode Decision in H.264/AVC. In: Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies. IGI Global, Hershey, PA, pp. 403-424. ISBN 9781615207626

Full text not available from this repository.
Official URL:


The latest video coding standard (Wiegand, 2003), H.264/AVC, uses variable block sizes ranging from 16x16 to 4x4 to perform motion estimation in inter-frame coding and a rich set of prediction patterns for intra-frame coding. Then a robust RDO (Rate Distortion Optimization) technique is employed to select the best coding mode and reference frame for each macroblock. As a result, H.264/AVC exhibits high coding efficiency compared to older video coding standards [2, 3] and shows significant future promise in the fields of video broadcasting and communication. However, high coding efficiency also carries high computational complexity. Fast mode decision is one of the key techniques to significantly reducing computational complexity for a similar RD (Rate Distortion) performance. This chapter provides an up-to-date critical survey of fast mode decision techniques for the H.264/AVC standard. The motivation for this chapter is twofold: Firstly to provide an up-to-data review of the existing techniques and secondly to offer some insights into the studies of fast mode decision techniques.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ni Mhaicin
Date Deposited: 06 Mar 2019 13:17
Last Modified: 06 Mar 2019 13:17

Actions (login required)

View Item View Item