Video compression with dense motion fields
| Autor: | Christine I. Podilchuk, Soo-Chul Han |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Motion compensation
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Signal compression Lossy compression Residual frame Computer Graphics and Computer-Aided Design Quarter-pixel motion Motion field Motion estimation Discrete cosine transform Structure from motion Computer vision Artificial intelligence business Encoder Software ComputingMethodologies_COMPUTERGRAPHICS Data compression Block-matching algorithm |
| Zdroj: | IEEE Transactions on Image Processing. 10:1605-1612 |
| ISSN: | 1057-7149 |
| DOI: | 10.1109/83.967388 |
| Popis: | We propose a motion-compensated video coding system employing dense motion fields. The dense motion field is calculated at the transmitter, and the motion information is efficiently encoded and transmitted along with the residual frame. The motion estimation is performed by existing techniques in the literature, while we focus on the coding of the motion field and the displaced frame difference (DFD) frame. The dense motion field formulation leads to several novel and distinct advantages. The motion field is encoded in a lossy manner to make the motion rate manageable. The more accurate and precise motion description allows us to predict where the DFD energy will be significant, thus leading to a more efficient DFD encoder compared to applying traditional still-image coding techniques. Furthermore, the dense motion field framework allows us to refine and tailor the motion estimation process such that the resulting DFD frame is easier to encode. Simulations demonstrate superior performance against standard block-based coders, with greater advantages for sequences with more complex motion. |
| Databáze: | OpenAIRE |
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