By Topic

A fast block motion estimation using progressive partial distortion search

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

2 Author(s)
Chun-Ho Cheung ; Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China ; Lai-Man Po

Real-time video applications, such as the speed-oriented videoconferencing require fast motion estimation while high quality video entertainments require motion estimation with small prediction error. In this paper, a novel block-matching algorithm for fast motion estimation named progressive partial distortion search algorithm (PPDS) is proposed. It uses a halfway-stop technique with progressive partial distortion (PPD) to increase the chance of early rejection of impossible candidate motion vectors at very early stages. Experimental results on different kinds of PPD show that PPDS provides a wide range of computational reduction from 19.37 to 62.39 times, with less than 1 dB degradation on PSNR performance as compared to the full search algorithm. It shows PPDS is suitable for a wide range of video applications. The proposed PPDS gives a compromised computational reduction from 28 to 38 times with only 0.34-0.50 dB degradation on PSNR performance as compared to the full search algorithm

Published in:

Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on

Date of Conference: