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Proceedings Paper

Joint tracking and multiview video compression
Author(s): Cha Zhang; Dinei Florêncio
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Paper Abstract

In immersive communication applications, knowing the user's viewing position can help improve the efficiency of multiview compression and streaming significantly, since often only a subset of the views are needed to synthesize the desired view(s). However, uncertainty regarding the viewer location can have negative impacts on the rendering quality. In this paper, we propose an algorithm to improve the robustness of view-dependent compression schemes by jointly performing user tracking and compression. A face tracker tracks the user's head location and sends the probability distribution of the face locations as one or many particles. The server then applies motion model to the particles and compresses the multiview video accordingly in order to improve the expected rendering quality of the viewer. Experimental results show significantly improved robustness against tracking errors.

Paper Details

Date Published: 30 July 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77440P (30 July 2010); doi: 10.1117/12.863066
Show Author Affiliations
Cha Zhang, Microsoft Research (United States)
Dinei Florêncio, Microsoft Research (United States)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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