Name
Abstract | ||
|---|---|---|
Motion-threading is a novel technique that can efficiently incorporate motion information into 3D wavelet video coding. By utilizing a shape adaptive wavelet transform along with the motion-threading technique, 3D wavelet video coding can greatly outperform MPEG-4 for those sequences with simple motion. Since the motion estimation used in the threading process only considers the correlation of adjacent frames in signal magnitude, a large number of short threads are present in the existing motion-threading technique. As a result, the coding efficiency of the 3D motion-threading wavelet coding is far lower than that of MPEG-4 for those sequences with complex motion. This paper contributes a two-pass optimal motion-threading (TOMTH) technique for the 3D wavelet video coding. Both the correlation in signal magnitude and the number of threads are considered by using a new criterion of motion estimation. TOMTH effectively reduces the number of motion threads, meanwhile maintaining considerable accuracy in aligning frames. Experimental results show that the 3D wavelet video coding with the proposed TOMTH technique can achieve consistent good performance in various sequences. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ISCAS.2002.1010583 | ISCAS (4) |
Keywords | Field | DocType |
coding efficiency,shape adaptive wavelet transform,motion information,signal magnitude correlation,wavelet transforms,motion estimation,sequences,3d wavelet video coding,two-pass optimal motion-threading technique,video coding,image sequences,scalability,signal processing,entropy coding,shape,wavelet transform | Computer vision,Quarter-pixel motion,Coding tree unit,Computer science,Motion compensation,Artificial intelligence,Discrete wavelet transform,Sub-band coding,Motion estimation,Wavelet packet decomposition,Wavelet transform | Conference |
Volume | Citations | PageRank |
4 | 1 | 0.41 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Luo | 1 | 1 | 0.41 |
| Feng Wu | 2 | 3635 | 295.09 |
| Shipeng Li | 3 | 3902 | 252.94 |
| Zhenquan Zhuang | 4 | 204 | 57.53 |
| Ya-Qin Zhang | 5 | 3684 | 320.41 |