Literature DB >> 17218742

A streaming-based solution for remote visualization of 3D graphics on mobile devices.

Fabrizio Lamberti1, Andrea Sanna.   

Abstract

Mobile devices such as Personal Digital Assistants, Tablet PCs, and cellular phones have greatly enhanced user capability to connect to remote resources. Although a large set of applications are now available bridging the gap between desktop and mobile devices, visualization of complex 3D models is still a task hard to accomplish without specialized hardware. This paper proposes a system where a cluster of PCs, equipped with accelerated graphics cards managed by the Chromium software, is able to handle remote visualization sessions based on MPEG video streaming involving complex 3D models. The proposed framework allows mobile devices such as smart phones, Personal Digital Assistants (PDAs), and Tablet PCs to visualize objects consisting of millions of textured polygons and voxels at a frame rate of 30 fps or more depending on hardware resources at the server side and on multimedia capabilities at the client side. The server is able to concurrently manage multiple clients computing a video stream for each one; resolution and quality of each stream is tailored according to screen resolution and bandwidth of the client. The paper investigates in depth issues related to latency time, bit rate and quality of the generated stream, screen resolutions, as well as frames per second displayed.

Mesh:

Year:  2007        PMID: 17218742     DOI: 10.1109/TVCG.2007.29

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  3 in total

1.  Evaluation of Interactive Visualization on Mobile Computing Platforms for Selection of Deep Brain Stimulation Parameters.

Authors:  Christopher R Butson; Georg Tamm; Sanket Jain; Thomas Fogal; Jens Krüger
Journal:  IEEE Trans Vis Comput Graph       Date:  2012-04-03       Impact factor: 4.579

2.  An optimized web-based approach for collaborative stereoscopic medical visualization.

Authors:  Mathias Kaspar; Nigel M Parsad; Jonathan C Silverstein
Journal:  J Am Med Inform Assoc       Date:  2012-10-09       Impact factor: 4.497

3.  Efficient Ray Tracing of Large 3D Scenes for Mobile Distributed Computing Environments.

Authors:  Woong Seo; Sanghun Park; Insung Ihm
Journal:  Sensors (Basel)       Date:  2022-01-10       Impact factor: 3.576

  3 in total

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