Name
Title | ||
|---|---|---|
A Novel Computationally Efficient Motion Compensation Method Based on Pixel by Pixel Prediction |
Abstract | ||
|---|---|---|
This paper presents a novel loss less compression method for video. In this work, we propose a novel method for finding motion compensated frame. This is computationally much efficient than other method reported in literature. After finding the motion compensated frame, we propose a new method for efficiently applying LS based predictor on the frames. The predictor structure uses pixels in the current frame and also in the motion compensated frame. Overall performance of the proposed method is significantly better than many competitive methods at significantly reduced computational complexity. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/DCC.2011.83 | Data Compression Conference |
Keywords | Field | DocType |
current frame,overall performance,predictor structure,pixel prediction,novel computationally efficient motion,novel loss,novel method,competitive method,compression method,compensation method,new method,computational complexity,data compression,motion estimation,pixel,information technology,motion compensation | Computer vision,Quarter-pixel motion,Computer science,Motion compensation,Residual frame,Pixel,Artificial intelligence,Inter frame,Motion estimation,Data compression,Computational complexity theory | Conference |
ISSN | ISBN | Citations |
1068-0314 | 978-1-61284-279-0 | 2 |
PageRank | References | Authors |
0.45 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohit Vaishnav | 1 | 3 | 1.16 |
| Ashwani Sharma | 2 | 10 | 1.96 |
| Anil Kumar Tiwari | 3 | 65 | 17.51 |