Cart (Loading....) | Create Account
Close category search window
 

QME: an efficient subsampling-based block matching algorithm for motion estimation

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

4 Author(s)
Kun-Bin Lee ; Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan ; Hao-Yun Chin ; Hui-Cheng Hsu ; Chein-Wei Jen,

This paper presents a new pel subsampling-based search algorithm for motion estimation. The proposed quartet-pel motion estimation (QME) search algorithm reduces the number of pels taken into account for the cost function of the matching criteria at every search position, therefore reduces the computational complexity and the required memory bandwidth. Furthermore, the proposed algorithm has a regular data flow, which in turn leads to hardware-efficient implementations. Simulation results show that QME achieves almost the same coding performance as full-search block matching algorithm (FBMA) in terms of PSNR and the size of the coded bitstream. A flexible and efficient architecture design using QME is also proposed. The flexibility is based on the configurations of processing units, such that the processing time and memory access of QME architecture can be reduced with facility. On the other hand, the efficiency of proposed hardware design, characterized by normalized processing capability per gate, also surpasses other designs.

Published in:

Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on  (Volume:2 )

Date of Conference:

23-26 May 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.