Compression Performances of Computer Vision Based Coding (Methodologies) (<Special Section>Machine Vision Applications)
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概要
- 論文の詳細を見る
This paper presents new results in the field of very low bitrate coding and compression using 3D informations. Contrary to prior art in model-based coding where 3D models have to be known, the 3D models are automatically computed from the original video sequence. The camera parameters and the scene content are supposed unknown and the video sequence is processed on the fly. A stream of 3D models is then extracted and compressed, using adapted compression techniques. We finally show the results of the proposed compression scheme, and the efficiency of this approach.
- 社団法人電子情報通信学会の論文
- 2004-01-01
著者
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Morin Luce
Irisa/inria Rennes Campus De Beaulieu
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GALPIN Franck
Graduate School of Information Sciences, Tohoku University
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DEGUCHI Koichiro
INRIA Rennes, Campus de Beaulieu
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Galpin Franck
Graduate School Of Information Sciences Tohoku University
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Deguchi K
Graduate School Of Information Sciences Tohoku University
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Deguchi Koichiro
Graduate School Of Information Sciences Tohoku University
関連論文
- Compression Performances of Computer Vision Based Coding (Methodologies) (Machine Vision Applications)
- Compression Performances of Computer Vision Based Coding
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