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Decomposable decoding and display structure for scalable media visualization over advanced collaborative environments

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Abstract
In this paper, we propose a scalable visualization system to offer high-resolution visualization on multiparty collaborative environments. The proposed system treats with a coordination technique to employ large-scale high-resolution display system and to display multiple high-quality videos effectively on systems with limited resources. To handle these, the proposed system includes the distributed visualization application under generic structure to enable high-resolution video format, such as DV (digital video) and HDV (high definition video) streaming, and under decomposable decoding and display structure to assign the separated visualization task (decoding/display) to different system resources. The system is based on high-performance local area network and the high-performance network between decoding and display task is utilized as the system bus to transfer the decoded large pixel data. The main focus in this paper is the decoupling technique of decoding and display based on high-performance network to handle multiple high-resolution videos effectively. We explore the possibility of the proposed system by implementing a prototype and evaluating it over a high-performance network. Finally, the experiment results verify the improved scalable display system through the proposed structure.
Author(s)
Kim JaeyounKim Jongwon
Issued Date
2005-10-25
Type
Conference Paper
URI
https://scholar.gist.ac.kr/handle/local/27864
Publisher
SPIE
Citation
SPIE, pp.0
ISSN
0277-786X
Conference Place
US
Appears in Collections:
Department of AI Convergence > 2. Conference Papers
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