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|Title: ||Block motion estimation using adaptive partial distortion search|
|Authors: ||Chan, Yui-lam|
|Subjects: ||Hilbert spaces|
|Issue Date: ||2002 |
|Citation: ||2002 IEEE International Conference on Multimedia and Expo : proceedings, August 26-29, 2002, Swiss Federal Institute of Technology, Lausanne, Switzerland, v. 1, p. 477-480.|
|Abstract: ||The conventional search algorithms for block motion estimation reduce the set of possible displacements for locating the motion vector. All of these algorithms produce some quality degradation of the predicted image. To reduce the computational complexity of the full search algorithm without introducing any loss in the predicted image, we propose an adaptive partial distortion search algorithm (APDS) by selecting the most representative pixels with high activities, such as edges and texture which contribute most to the matching criterion. The APDS algorithm groups the representative pixels based on the pixel activities in the hilbert scan. By using the grouped information and computing the accumulated partial distortion of the representative pixels before that of the other pixels, impossible candidates can be rejected sooner and the remaining computation involved in the matching criterion can be reduced remarkably. Simulation results show that the proposed APDS algorithm has a significant computational speed-up and is the fastest when compared to the conventional partial distortion search algorithms.|
|Description: ||DOI: 10.1109/ICME.2002.1035822|
|Rights: ||© 2002 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.|
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|Type: ||Conference Paper|
|Appears in Collections:||EIE Conference Papers & Presentations|
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