Abstract
Streaming of progressive meshes enables users to view 3D meshes with increasing level of details, by sending a coarse version of a mesh initially, followed by a sequence of refinements to incrementally improve the quality. Our research concentrates on how to send refinements to quickly improve the quality. Two important factors are considered in choosing the sending order: the dependency among the data and the view point of the user. First, we develop an analytical model to investigate the effect of dependency when progressive meshes are transmitted over a lossy network. Second, we propose a receiver-driven protocol to streaming progressive meshes according to users' view-points in a scalable way. Third, to further improve the scalability, we discuss how to apply our receiver-driven protocol in a hybrid peer-to-peer streaming system.
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