Name
Title | ||
|---|---|---|
An efficient true-motion estimator using candidate vectors from a parametric motion model |
Abstract | ||
|---|---|---|
Some efficient motion estimation algorithms select their output motion vector from a limited number of likely correct candidate, or prediction, vectors. In this paper, next to the known spatial and temporal prediction vectors, an additional and independent prediction is proposed. This candidate is generated with a parametric model describing the global motion in a previously estimated motion vector field. The proposal is elaborated as an addition to the three-dimensional (3-D) recursive search block-matching algorithm. The evaluation shows that a subpixel accurate, true-motion estimator results with a very low operations count |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/76.660831 | Circuits and Systems for Video Technology, IEEE Transactions |
Keywords | Field | DocType |
image matching,image sequences,motion estimation,parameter estimation,search problems,video signal processing,candidate vectors,global motion,motion estimation algorithms,output motion vector,parametric motion model,spatial prediction vector,subpixel accurate true-motion estimator,temporal prediction vector,three-dimensional recursive search block-matching algorithm,true-motion estimator | Computer vision,Parametric model,Pattern recognition,Computer science,Image processing,Parametric statistics,Artificial intelligence,Estimation theory,Subpixel rendering,Motion estimation,Estimator,Motion vector | Journal |
Volume | Issue | ISSN |
8 | 1 | 1051-8215 |
Citations | PageRank | References |
18 | 2.00 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. de Haan | 1 | 358 | 38.16 |
| Biezen, P.W.A.C. | 2 | 31 | 5.15 |