Multiresolution Video Coding Based on Kalman Filtering Motion Estimation
| Autor: | Chung-Ming Kuo, Cheng-Ping Chao, Chaur-Heh Hsieh |
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| Rok vydání: | 2002 |
| Předmět: |
Propagation of uncertainty
Motion compensation Pixel business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Kalman filter Motion vector Quarter-pixel motion Motion estimation Computer Science::Multimedia Signal Processing Media Technology Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business ComputingMethodologies_COMPUTERGRAPHICS Mathematics Block-matching algorithm |
| Zdroj: | Journal of Visual Communication and Image Representation. 13:348-362 |
| ISSN: | 1047-3203 |
| DOI: | 10.1006/jvci.2001.0498 |
| Popis: | Motion estimation plays an important role for the coding of video signals in the framework of multiresolution. The conventional block-matching algorithms achieve only integer pixel accuracy, if interpolation is not performed. In this paper, a multiresolution video coding system based on Kalman filtering motion estimation is presented. The Kalman filter-based motion estimation employs the predicted motion and measured motion to obtain the best estimate of motion vector at the lowest resolution subimage. The motion vector is used as the initial estimate of other subimages and then refined with the conventional block-matching algorithm. The multiresolution motion-compensated difference of each subband is encoded by lattice vector quantization according to their statistical properties, respectively. Simulation results show that the proposed coding system not only improves the performance but also reduces the error propagation significantly when compared to the multiresolution video coding system based on conventional block-matching algorithms. |
| Databáze: | OpenAIRE |
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