Name
Abstract | ||
|---|---|---|
Motion estimation is one of the most crucial and time-consuming component of video compression methods. However, much research has been done to improve computational complexity at the expense of the loss in performance of matching of blocks. A novel block matching algorithm named efficient direction-oriented search is proposed. For this, the proposed algorithm firstly aims to dynamically switch be... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.0641 | IET Image Processing |
Keywords | Field | DocType |
computational complexity,data compression,image matching,image sequences,motion estimation,search problems,video coding | Convergence (routing),Computer vision,Block-matching algorithm,Search algorithm,Threshold limit value,Artificial intelligence,Motion estimation,Data compression,Distortion,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
12 | 9 | 1751-9659 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tushar Shankar Shinde | 1 | 1 | 1.70 |
| Anil Kumar Tiwari | 2 | 65 | 17.51 |