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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xuan Jing Lap-Pui Chau |
| Copyright Year | 1994 |
| Abstract | In this letter, a fast partial distortion search algorithm for motion estimation is presented. The proposed method is based on the observation that when normalized partial distortion is utilized, the false rejection of impossible candidates most likely occurs within a small area adjacently located near the true motion vector. Our objective is to enhance the prediction accuracy in this small predictive search area and further save computations outside this area. Experimental results show that the proposed algorithm achieves an average 42 times speedup ratio as compared to full-search algorithm with only 0.05 dB degradation in PSNR performance. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 840 |
| Ending Page | 843 |
| Page Count | 4 |
| File Size | 313936 |
| File Format | |
| ISSN | 10709908 |
| Volume Number | 14 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Prediction algorithms Motion estimation Avalanche photodiodes Degradation Q factor Accuracy PSNR Computational complexity Distortion measurement Current measurement predictive search area Block matching motion estimation partial distortion search |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing Electrical and Electronic Engineering |
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