By Topic

Efficient Motion Estimation Using a Sorting-Based Early Termination Algorithm in H.264 Video Coding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chou-Chen Wang ; Dept. of Electron. Eng., I-Shou Univ., Kaohsiung ; Jung-Yang Kao ; Yu-Kai Lin

The H.264/AVC video coding standard uses 7 variable block sizes ranging from 16times16 to 4times4 in interframe coding. The motion estimation with 7 modes needs very high computational complexity. To reduce the complexity of ME module in H.264, we propose a new and fast motion-estimation algorithm based on partial block distortion for sorted significant features including bit-plane and absolute difference of means (ADM). The partial distortion searching (PDS) algorithm, from top-to-bottom line matching scan, is a popular method for fast full search (FSS) in H.264. When the proposed algorithm is combined with the sub-block PDS (proposed-PDS), it can find the same motion vectors as FSS. Furthermore, when the proposed algorithm is combined with the normalized PDS (proposed-NPDS), it can obtain relatively accurate motion vectors with a large reduced computational load. Simulation results show that the proposed-PDS method requires about 90% of the computation needed by the FSS in H.264 without any loss of R-D performance, and the proposed-NPDS requires only about 68% of the computation needed by the FSS with the R-D performance very close to FFS

Published in:

Multimedia, 2006. ISM'06. Eighth IEEE International Symposium on

Date of Conference:

Dec. 2006