2009 11th IEEE International Symposium on Multimedia 2009
DOI: 10.1109/ism.2009.90
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VideoBlaster: A Distributed, Low-Network Bandwidth Method for Multimedia Playback on Tiled Display Systems

Abstract: Tiled display environments present opportune workspaces for displaying multimedia content. Often times, displaying this kind of audio/visual information requires a substantial amount of network bandwidth. In this paper we present a method for distributing the decoding over the entire display environment, allowing for substantially less network overhead. This method also allows for interactive configuration of the visual workspace. The method described scales independently of video frame size and produces lower… Show more

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Cited by 4 publications
(5 citation statements)
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“…However, like SAGE, applications must be rebuilt to use the CGLX middleware. Based on this approach, applications for high resolution image exploration [8,9] and HD video playback from files [10] have been designed, which use significantly less network bandwidth for display than previous approaches. We build upon this approach and leverage the distributed computational power of the display nodes to receive, decode, and display compressed video streams using lower bandwidth than uncompressed approaches.…”
Section: Scalable Tiled Display Wall Applicationsmentioning
confidence: 99%
“…However, like SAGE, applications must be rebuilt to use the CGLX middleware. Based on this approach, applications for high resolution image exploration [8,9] and HD video playback from files [10] have been designed, which use significantly less network bandwidth for display than previous approaches. We build upon this approach and leverage the distributed computational power of the display nodes to receive, decode, and display compressed video streams using lower bandwidth than uncompressed approaches.…”
Section: Scalable Tiled Display Wall Applicationsmentioning
confidence: 99%
“…In an attempt to remove the network constrained performance limitations, approaches such as Choe [10] and Ponto [11] distributes compressed video to each node in the cluster. In this approach, a single video file containing the video content is replicated to each node, allowing each video file to be decoded concurrently on each node.…”
Section: Synchronous Distributed Decodingmentioning
confidence: 99%
“…First the original video is separated into a user definable n-by-m array of equally sized video tiles, each of which is individually compressed. This segmentation allows each rendering node to read, decode, and upload subsections of the original video frame as opposed to the entire frame as seen in other approaches like [11]. Next this tiled video content is distributed to the rendering nodes either through pre-distribution to local disks or through a network mounted file system.…”
Section: System Overviewmentioning
confidence: 99%
See 1 more Smart Citation
“…These viewpoints are then reconstructed on the fly via GPU based interleaving. Playback timing and synchronization is controlled by CGLX [58] and developed on top of the VideoBlaster framework [59]. This approach enables arbitrary-sized tiled LPP video playback.…”
Section: The Reve Autostereo Systemmentioning
confidence: 99%