Error concealment using multiresolution motion estimation
Autor: | Stephen M. Wiener, Augustine Tsai, Joseph Wilder |
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Rok vydání: | 1995 |
Předmět: |
Motion compensation
Computer science Image quality business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Quarter-pixel motion Motion estimation Pyramid Computer vision Affine transformation Artificial intelligence Pyramid (image processing) business Block-matching algorithm |
Zdroj: | SPIE Proceedings. |
ISSN: | 0277-786X |
DOI: | 10.1117/12.223993 |
Popis: | An error concealment scheme for MPEG video networking is presented. Cell loss occurs in the presence of network congestion and buffer overflow. This phenomenon of cell loss transforms into lost image blocks in the decoding process, which can severely degrade the viewing quality. The new method differs from the conventional concealment by its exploitation of spatial and temporal redundancies in large scale. The motion estimation is carried out by registering images within a multiresolution pyramid. The global motion is estimated in the lowest resolution level, and is then used to update and refine the local motion. The local motion is further refined iteratively at higher resolution levels. An affine transform is used to extract translation, scaling and rotation parameters. In many applications where there is significant camera motion (e.g., remote surveillance), the new method performs better than the conventional concealment.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |
Databáze: | OpenAIRE |
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