Name
Abstract | ||
|---|---|---|
This paper describes low-bitrate video compression based upon the characterization of the new frame as a set of geometric transformations of objects of the previous frame. Objects with motion are detected and the motion is estimated. The estimated motion (motion field) is used to obtain the parameters for the geometric transformations. The pertinent geometric transformations are rotation, translation, zooming and isotropie and anisotropie distortion. The motivation for choosing this set of third-order transformations is that we have at our disposal special ASICS for real-time video processing. We only want to transform moving objects and therefore the boundaries of the moving objects must be known. The boundaries of the objects are represented by closed contours. |
Year | Venue | Keywords |
|---|---|---|
1998 | EUSIPCO | data compression,motion estimation,object detection,video coding,asics,anisotropic distortion,isotropic distortion,low bitrate video coding,low-bitrate video compression,moving object transformation,real-time video processing,third order geometric transformation,image reconstruction,polynomials,real time systems |
Field | DocType | ISBN |
Computer vision,Block-matching algorithm,Quarter-pixel motion,Motion field,Computer science,Transformation geometry,Motion compensation,Video tracking,Artificial intelligence,Motion estimation,Video compression picture types | Conference | 978-960-7620-06-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. H. Slump | 1 | 9 | 3.70 |
| van Veen, M.A.J.A. | 2 | 0 | 0.34 |
| de Bruijn, F.J. | 3 | 4 | 1.36 |