Generalized motion compensation for drift reduction

Anthony Vetro; Huifang Sun

doi:10.1117/12.298360

9 January 1998 Generalized motion compensation for drift reduction

Anthony Vetro, Huifang Sun

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298360
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

The most straight-forward approach in obtaining a down- converted image sequence is to decimate each frame after it has been fully encoded. To reduce memory requirements and other costs incurred by this approach, a down-conversion decoder would perform a decimation within the decoding loop. In this way, predictions are made from a low-resolution reference which has experienced a considerable loss of information. Additionally the prediction s must be made from a set of motion vectors which correspond to the full- resolution image sequence. Given these conditions, it is desirable to optimize the performance of the motion compensation process. In this paper we show that the optimal set of filters for performing the low-resolution motion compensation are dependent on the choice of down-conversion are provided. To demonstrate the usefulness of these results, a sample set of motion compensation filters for each class of down-conversion are calculated. The results are incorporated into a low-resolution decoder and comparisons of each down-conversion class are made. Simulation results reveal that the filters which were based on multiple block down-conversion can reduce the amount of prediction drift found in the single block down-conversion by as much as 35 percent.

Citation Download Citation

Anthony Vetro and Huifang Sun "Generalized motion compensation for drift reduction", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298360

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