Name
Abstract | ||
|---|---|---|
For mobile devices, motion estimation has been the most time-consuming part of video compression. Many fast motion vector block matching algorithms are proposed to decrease time complexity. In our paper, a new algorithm called Predictive Root Pattern Search (PRPS) is proposed. Experimental results show that the image quality of the proposed method is better than that of other block matching methods, especially on large and fast motion video chips. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/GCCE.2016.7800343 | 2016 IEEE 5th Global Conference on Consumer Electronics |
Keywords | Field | DocType |
Motion Estimation,Block Matching Algorithms,Mobile Devices | Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Artificial intelligence,Motion estimation,Data compression,Pattern matching,Rate–distortion optimization,Motion vector | Conference |
ISBN | Citations | PageRank |
978-1-5090-2334-9 | 0 | 0.34 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chia-Ming Wu | 1 | 59 | 6.42 |
| Jen-Yi Huang | 2 | 0 | 0.34 |