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Compression Performances of Computer Vision Based Coding

机译:基于计算机视觉的编码压缩性能

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摘要

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.
机译:本文介绍了使用3D信息在非常低的比特率编码和压缩领域中的新结果。与必须知道3D模型的基于模型的编码的现有技术相反,该3D模型是根据原始视频序列自动计算的。摄像机参数和场景内容被认为是未知的,视频序列会被实时处理。然后,使用适应的压缩技术提取并压缩3D模型流。我们最终显示了提出的压缩方案的结果以及这种方法的效率。

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