Interactive, Internet delivery of visualization via structured prerendered multiresolution imagery
We present a novel approach for latency-tolerant delivery of visualization and rendering results, where client-side frame rate display performance is independent of source data set size, image size, visualization technique, or rendering complexity. Our approach delivers prerendered multiresolution images to a remote user as they navigate through different viewpoints, visualization parameters, or rendering parameters. We employ demand-driven tiled multiresolution image streaming and prefetching to efficiently utilize available bandwidth while providing the maximum resolution a user can perceive from a given viewpoint. Since image data is the only input to our system, our approach is generally applicable to all visualization and graphics rendering applications capable of generating image files in an ordered fashion. In our implementation, a normal Web server provides on-demand images to a remote custom client application, which uses client-pull to obtain and cache only those images required to fulfill the interaction needs. The main contributions of this work are 1) an architecture for latency-tolerant remote delivery of precomputed imagery suitable for use with any visualization or rendering application capable of producing images in an ordered fashion, and 2) a performance study showing the impact of diverse network environments and different tunable system parameters on end-to-end system performance in terms of deliverable frames per second.
remote visualization remote rendering internet media delivery multiresolution digital media