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- W2078064910 abstract "The next step in immersive communication beyond video from a single camera is object-based free viewpoint video, which is the capture and compression of a dynamic object such that it can be reconstructed and viewed from an arbitrary viewpoint. The moving human body is a particularly useful subclass of dynamic object for object-based free viewpoint video relevant to both telepresence and entertainment. In this paper, we compress moving human body sequences by applying recently developed Graph Wavelet Filter Banks to time-varying geometry and color signals living on a mesh representation of the human body. This model-based approach significantly outperforms state- of-the-art coding of the human body represented as ordinary depth plus color video sequences. I. INTRODUCTION" @default.
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- W2078064910 date "2014-05-01" @default.
- W2078064910 modified "2023-10-17" @default.
- W2078064910 title "Compression of human body sequences using graph Wavelet Filter Banks" @default.
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- W2078064910 doi "https://doi.org/10.1109/icassp.2014.6854786" @default.
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