Compressed domain global motion estimation using the Helmholtz Tradeoff Estimator
| Autor: | Marina Georgia Arvanitidou, Andreas Krutz, Thomas Sikora, Michael Tok, Alexander Glantz |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Motion compensation
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Estimator Motion vector Quarter-pixel motion symbols.namesake Robustness (computer science) Motion estimation Helmholtz free energy Computer Science::Multimedia symbols Computer vision Artificial intelligence business Mathematics Data compression |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip.2010.5652525 |
| Popis: | Several algorithms for global motion estimation in video sequences using pixel- or block-based approaches have been published. Most known pixel-based methods lack in performance while when using block-based algorithms working on motion vectors, robustness to outliers and accuracy is missing. In this paper we present the fundamentals of a significantly improved, robust block-based method for global motion estimation in compressed domain following the generic Helmholtz principle. To this aim, we use motion vector fields as provided by MPEG data streams. Background PSNR values for four motion compensated test sequences show that our new method delivers results comparable to more complex algorithms. |
| Databáze: | OpenAIRE |
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