Fast Motion Estimation With Interpolation-Free Sub-Sample Accuracy
| Autor: | Tarik Arici, Salih Dikbas, Yucel Altunbasak |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Signal processing
Computational complexity theory business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Motion vector Motion estimation Distortion Media Technology Algorithm design Computer vision Artificial intelligence Electrical and Electronic Engineering business Block (data storage) Mathematics Interpolation |
| Zdroj: | IEEE Transactions on Circuits and Systems for Video Technology. 20:1047-1051 |
| ISSN: | 1558-2205 1051-8215 |
| DOI: | 10.1109/tcsvt.2010.2051283 |
| Popis: | In this letter, a new fast motion estimation (FME) algorithm capable of producing sub-sample motion vectors at low computational-complexity is proposed. Unlike existing FME algorithms, the proposed algorithm considers the low complexity sub-sample accuracy in designing the search pattern for FME. The proposed FME algorithm is designed in such a way that the block distortion measure is modeled as a parametric surface in the vicinity of the integer-sample motion vector; this modeling enables low computational-complexity sub-sample motion estimation (ME) without pixel interpolation. Experimental results on video test sequences show that the proposed FME algorithm reduces computational complexity of integer and sub-sample ME considerably compared with traditional methods at the cost of negligible performance degradation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|