|
HKUST Institutional Repository >
Electronic and Computer Engineering >
ECE Conference Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1783.1/2589
|
| Title: | Predictive motion estimation for reduced-resolution video from high-resolution compressed video |
| Authors: | Wong, Wai Chuen
Au, Oscar C.
Wong, Hon Wah
Tourapis, Alexandros |
| Keywords: | Predictive motion estimation
Reduced-resolution video
Compressed video
Motion vector |
| Issue Date: | 1998 |
| Citation: | Proceedings 1998 International Conference on Image Processing, ICIP 98, 4-7 October 1998, Chicago, IL, USA, vol. 2, p. 461-464 |
| Abstract: | To convert a compressed video sequence to a lower-resolution compressed video, one typically needs to decompress the original sequence, down-sample each frame, and recompress it. It involves motion estimation in the reduced sequence which is computational intensive. In this paper, we propose a novel fast algorithm to predict the motion vector of the reduced video by using the original motion information in the compressed bitstream. We achieve a much higher quality than existing algorithms with low additional complexity. |
| Rights: | © 1998 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. |
| URI: | http://hdl.handle.net/1783.1/2589 |
| Appears in Collections: | ECE Conference Papers
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| predict.pdf | pre-published version | 531Kb | Adobe PDF | View/Open |
|
All items in this Repository are protected by copyright, with all rights reserved.
|
