Name
Abstract | ||
|---|---|---|
Fractional motion estimation, using the interpolation process, improves the quality of the compressed video by about 2dB in terms of PSNR over integer motion estimation. Most existing interpolation techniques in recent video coding standards, such as the symmetric 6-tap filter of the H.264/AVC standard, do not perform well around the object edges. This increases the value of residuals, which in turn results in higher bit rate. In this paper, a new interpolation method has been proposed that considers the edges of video objects. Simulation results indicate that the proposed method, when used in the H.264/AVC encoder, improves PSNR by up to 1.0 dB (0.4 dB in average) with respect to the standard interpolation technique. This is achieved at the expense of up to 6% (3% in average) increase in the computational complexity. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICME.2011.6011999 | Multimedia and Expo |
Keywords | Field | DocType |
Fractional motion estimation,H.264/AVC,Hybrid video coding,Interpolation,Video object edge | Computer vision,Video post-processing,Quarter-pixel motion,Computer science,Motion compensation,Interpolation,Stairstep interpolation,Artificial intelligence,Encoder,Motion estimation,Image scaling | Conference |
ISSN | ISBN | Citations |
1945-7871 E-ISBN : 978-1-61284-349-0 | 978-1-61284-349-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kokhazadeh, A. | 1 | 0 | 0.34 |
| Alireza Aminlou | 2 | 85 | 14.99 |
| Mahmoud Reza Hashemi | 3 | 131 | 27.70 |