Name
Abstract | ||
|---|---|---|
The popular techniques to eliminate temporal redundancy in video sequences are Motion Estimation and Motion Compensation. These techniques have also been used in popular H.264, MPEG-2 and MPEG-4 video coding standards. Conventional fast Block Matching Algorithms (BMA) perform exhaustive search between the current and the reference frame. Although BMA technique gives the exact result but it is computationally very expensive. Another drawback of this method is that it easily gets trapped into the local minima which eventually lead to degradation of the video quality. The proposed Motion Estimation Technique exploits the fact that the human eyes are incapable of detecting different frames when they are run at particular frame rate. The experimental results on various video sequences demonstrate that the proposed technique has outperformed all the existing conventional motion estimation techniques. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/NCVPRIPG.2013.6776184 | National Conference on Computer Vision Pattern Recognition Image Processing and Graphics |
Keywords | DocType | ISSN |
Motion estimation,motion compensation,search range,number of computations,peak signal to noise ratio | Conference | 2372-658X |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. V. Arya | 1 | 289 | 28.09 |
| purnima prasad | 2 | 0 | 0.34 |