Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/51988
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dc.titleGeo-Tagged Video Management: Storage, Queries and Streaming
dc.contributor.authorMA HE
dc.date.accessioned2014-04-30T18:01:52Z
dc.date.available2014-04-30T18:01:52Z
dc.date.issued2013-12-30
dc.identifier.citationMA HE (2013-12-30). Geo-Tagged Video Management: Storage, Queries and Streaming. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51988
dc.description.abstractIn this thesis, we investigate the data storage, query processing and video streaming in geo-tagged video management. Our work focuses on the following key issues: (1) the indexing and querying on the geo-tagged video. We design a multi-level grid-based index structure for effectively and efficiently searching for videos, especially for specific query types(e.g., query with bounded radius, query with direction restriction); (2) the uncertainty of the sensor meta-data. The uncertainty model for a single FOV, and a light-weight approximation of the uncertainty of video segment are modeled with probabilistic theory; (3) the video transcoding strategy for DASH in the cloud environment. We propose a dynamic scheduler that can support near-live DASH streaming, with consideration of user's interaction with the video hosting service.
dc.language.isoen
dc.subjectGeo-tagged video search, sensor meta-data, spatial data indexing, uncertain modeling, video transcoding scheduling
dc.typeThesis
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.supervisorZIMMERMANN, ROGER
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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