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Compression of Human Body Sequences Using Graph Wavelet Filter Banks

Citation Author(s):
Ha Q. Nguyen, Yinpeng Chen
Submitted by:
Philip Chou
Last updated:
23 February 2016 - 1:43pm
Document Type:
Research Manuscript
Categories:
 

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 stateof-the-art coding of the human body represented as ordinary depth plus color video sequences.

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Thanks to co-author Ha Q. Nguyen, this paper received the second place best student paper award at ICASSP 2014.