Please use this identifier to cite or link to this item:
|Title:||New results on exhaustive search algorithm for motion estimation using adaptive partial distortion search and successive elimination algorithm|
Motion estimation algorithm
|Source:||2006 IEEE International Symposium on Circuits and Systems : May 21-24, 2006, Kos International Convention Centre (KICC), Island of Kos, Greece : proceedings, p.3978-3981 How to cite?|
|Abstract:||Motion estimation is one of the most computational-intensive tasks in video compression. In order to reduce the amount of computation, various fast motion estimation algorithms have been developed. These fast algorithms can be classified into two groups. One is the lossy motion-estimation approach, which may have some degradation of predicted images, and the other is lossless, which means that the quality of the predicted images is exactly the same as those obtained by the conventional full search algorithm. The partial distortion search and successive elimination algorithm are two well-known techniques belonging to the second kind of approach. These two algorithms use different checking criteria to eliminate as much redundant computations as possible. Actually, the working principles of these methods are independent to each others and it is possible to apply them sequentially in order to achieve greater saving in computation. In this paper, we propose a new fast full-search motion estimation algorithm which can exploit fully the advantages of adaptive partial distortion search and successive elimination algorithm. Experimental results show that this proposed algorithm has an average speed-up of 13.31 as compared with the full search algorithm in terms of computational efficiency. This result is much better than the method simply combing both partial distortion search and successive elimination algorithm, which has an average computational speed-up of 10.60. For a practical realization using a PC, the average execution time speed-up for our algorithm is 4.96, which is also the best performance among all algorithms tested.|
|Rights:||© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
|Appears in Collections:||Conference Paper|
Show full item record
Checked on May 22, 2016
Checked on May 22, 2016
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.