Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/37570
Title: Large-scale sensor-rich video management and delivery
Authors: SHEN ZHIJIE
Keywords: video annotation, geo-referenced videos, mobile videos, P2P, video streaming
Issue Date: 22-Aug-2012
Citation: SHEN ZHIJIE (2012-08-22). Large-scale sensor-rich video management and delivery. ScholarBank@NUS Repository.
Abstract: In recent years, people have become accustomed to sharing and watching videos on the Internet. Particularly, the rapid advance in mobile phone technology and many interesting mobile applications have attracted users to produce and consume videos on the newly booming platform. A number of hardware and software problems arise with the significant trend. Among the problems, this thesis focuses on the problems raised by the new requirements and constraints of Internet video consumption, i.e., the large volume of videos and the big audience size. The traditional solutions that deal with small video corpora and small-scale audience are no longer applicable under the new situations. Therefore, this thesis investigates some start-of-art techniques that can be applied to 1) searching the desired videos from big video corpora and then 2) delivering them to a large number of users. The first half of the thesis specifies a rich-context, data-driven method of automating the tag generation process by exploiting the geo-spatial properties of videos. Then, the second half focuses on localizing the traffic caused by P2P video streaming with streaming quality preserved.
URI: http://scholarbank.nus.edu.sg/handle/10635/37570
Appears in Collections:Ph.D Theses (Open)

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