Efficient motion estimation algorithm based on structure segmentation compensability analysis

Jianping Fan; Jun Yu; XiangLan Xue; Lide Wu

doi:10.1117/1.601682

1 May 1998 Efficient motion estimation algorithm based on structure segmentation compensability analysis

Jianping Fan, Jun Yu, XiangLan Xue, Lide Wu

Optical Engineering, Vol. 37, Issue 5, (May 1998). https://doi.org/10.1117/1.601682

We report our study of a novel motion estimation algorithm based on structure segmentation and compensability analysis, where the macroblocks in the prediction frames are classified into four types corresponding to stationary background (or stationary objects), uncovered background (or new objects), moving objects, and edges among them. Then the following motion estimation operation is only performed on the compensable macroblocks, and the motion interaction among neighboring macroblocks is further used for reducing the search range. Preliminary results indicate that this proposed technique not only reduces the estimation burden drastically but also avoids the discontinuous change of picture quality, thus resulting in improvements of the subjective picture quality in comparison with a normal fast search algorithm.

Citation Download Citation

Jianping Fan, Jun Yu, XiangLan Xue, and Lide Wu "Efficient motion estimation algorithm based on structure segmentation compensability analysis," Optical Engineering 37(5), (1 May 1998). https://doi.org/10.1117/1.601682

Published: 1 May 1998

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available