title: A streaming-based solution for remote visualization of 3D graphics on mobile devices.
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.
authors.affiliation: Politecnico di Torino, Dipartimento di Automatica e Informatica, Torino, Italy. fabrizio.lamberti@polito.it
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Lamberti
authors.forename: Andrea
authors.initials: A
authors.lastname: Sanna
mesh_terms: D003195:Computer Communication Networks / Q000295:instrumentation*; D003196:Computer Graphics; D034201:Computers, Handheld; D044962:Data Compression / Q000379:methods*; D019560:Echocardiography, Three-Dimensional / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D012984:Software