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https://hdl.handle.net/10356/15166
Title: | 3D mesh transmission over bandwidth-limited networks | Authors: | Guan, Wei | Keywords: | DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks | Issue Date: | 2008 | Source: | Guan, W. (2008). 3D mesh transmission over bandwidth-limited networks. Master’s thesis, Nanyang Technological University, Singapore. | Abstract: | With the advance of wireless communications and the increased processing power of wireless devices, network-based graphics applications such as online virtual reality and online games are now being extended from wired broadband networks to wireless networks. However, it is a challenging task to transmit complex graphics models over wireless networks due to huge data volume of complex 3D graphics models and limited bandwidth of wireless channels. The objectives of this research is to re-exam the existing mesh compression techniques and adapt them for efficient 3D mesh transmission over bandwidth-limited networks. By noticing that most of the existing 3D mesh coding algorithms transmit unnecessary invisible portions of 3D mesh models, we propose a novel view-dependent 3D model transmission scheme, where a 3D model is partitioned into a number of segments, each segment is then independently coded using the MPEG-4 3DMC coding algorithm, and finally only the visible segments are selected and delivered to the client. Moreover, we also propose analytical models to find the optimal number of segments so as to minimize the average transmission size. Simulation results show that such a view-based 3D model transmission is able to substantially save the transmission bandwidth and therefore has a significant impact on wireless graphics applications. | URI: | https://hdl.handle.net/10356/15166 | DOI: | 10.32657/10356/15166 | Schools: | School of Computer Engineering | Research Centres: | Centre for Multimedia and Network Technology | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Theses |
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GuanWei08.pdf | Main report | 800.76 kB | Adobe PDF | View/Open |
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