Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/29927
Title: Presentation of multiple GEO-referenced videos
Authors: ZHANG LINGYAN
Keywords: Geotagged video, IFrame shim, Google Earth, KML,FOV
Issue Date: 18-May-2011
Citation: ZHANG LINGYAN (2011-05-18). Presentation of multiple GEO-referenced videos. ScholarBank@NUS Repository.
Abstract: Geo-tagging is becoming increasingly common as location information is associated with various data that is collected from a variety of sources such as Global Position System (GPS), compass, etc. In the field of media, images and most recently videos, can be automatically tagged with the geographic position of the camera. Geo-tagged videos can be searched according to the location information which can make the query more specific and precise if the user already knows the place he or she is interested in. In this thesis we consider the challenge of presenting geo-referenced videos and we first review the related work in this area. A number of researchers have focused on on geo-tagged images while few have considered geo-tagged videos. Earlier literature presents the concept of Field-of-View (FOV) which we also adopt in our research. In addition, recently the concept of 3D virtual environments has gained increased prominence, with Google Earth being one example. Some of them are so-called mirror-worlds ? large-scale environments that are essentially detailed computer-models of our three-dimensional real world. The focus of our work is on utilizing such virtual environments for the presentation of multiple geo-referenced videos. We are proposing an algorithm to compute a reasonable viewing location or viewpoint for an observer of multiple videos. Without calculating the viewpoint, it might be difficult to find the best location to watch several videos. Our proposed system automatically presents multiple geo-referenced videos according to an advantageous viewpoint. We performed several experiments to demonstrate the usefulness and feasibility of our algorithm. We conclude the thesis by describing some of the challenges of our research and possible future work.
URI: http://scholarbank.nus.edu.sg/handle/10635/29927
Appears in Collections:Master's Theses (Open)

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