Big video data for light-field-based 3D telemedicine

Xiang, Wei, Wang, Gengkun, Pickering, Mark, and Zhang, Yongbing (2016) Big video data for light-field-based 3D telemedicine. IEEE Network, 30 (3). pp. 30-38.

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Abstract

Big data and 3D technologies have been successfully leveraged in a variety of industries to improve their efficiency and quality. The healthcare sector has lagged in the uptake of these new technologies. In this article, we propose a novel light field (LF)-based 3D telemedicine system. The proposed system is able to provide a life-like tele-consultation experience that provides a quality of experience far beyond conventional 2D telemedicine systems. In addition, its embedded 3D data in light field video (LFV) format can also facilitate a higher level of big data analysis, so-called big LFV data analysis. To solve the challenges in storage and analysis of LFV, we extend the standard multi-view video coding (MVC) approach to LF-MVC, which is able to achieve up to a 23 percent higher compression rate when compared to standard MVC. Furthermore, a big data analysis framework is proposed to integrate LFV into conventional telemedicine analysis, which can achieve improved classification, statistics gathering, prediction, and cognitive analysis for healthcare applications.

Item ID: 46111
Item Type: Article (Research - C1)
ISSN: 1558-156X
Funders: Queensland Government's Smart Futures Fellowship
Date Deposited: 19 Oct 2016 07:32
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100509 Video Communications @ 100%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 30%
89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890106 Videoconference Services @ 70%
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