Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.jvcir.2010.07.004
DC Field | Value | |
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dc.title | Design and implementation of geo-tagged video search framework | |
dc.contributor.author | Kim, S.H. | |
dc.contributor.author | Arslan Ay, S. | |
dc.contributor.author | Zimmermann, R. | |
dc.date.accessioned | 2013-07-04T07:48:56Z | |
dc.date.available | 2013-07-04T07:48:56Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Kim, S.H., Arslan Ay, S., Zimmermann, R. (2010). Design and implementation of geo-tagged video search framework. Journal of Visual Communication and Image Representation 21 (8) : 773-786. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jvcir.2010.07.004 | |
dc.identifier.issn | 10473203 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/39760 | |
dc.description.abstract | User generated video content is experiencing significant growth which is expected to continue and further accelerate. As an example, users are currently uploading 20 h of video per minute to YouTube. Making such video archives effectively searchable is one of the most critical challenges of multimedia management. Current search techniques that utilize signal-level content extraction from video struggle to scale. Here we present a framework based on the complementary idea of acquiring sensor streams automatically in conjunction with video content. Of special interest are geographic properties of mobile videos. The meta-data from sensors can be used to model the coverage area of scenes as spatial objects such that videos can effectively, and on a large scale, be organized, indexed and searched based on their field-of-views. We present an overall framework that is augmented with our design and implementation ideas to illustrate the feasibility of this concept of managing geo-tagged video. © 2010 Elsevier Inc. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.jvcir.2010.07.004 | |
dc.source | Scopus | |
dc.subject | Geo-tagging | |
dc.subject | GPS | |
dc.subject | Meta-data | |
dc.subject | Mobile video | |
dc.subject | Scalability | |
dc.subject | Sensor | |
dc.subject | Video ranking | |
dc.subject | Video search | |
dc.type | Article | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1016/j.jvcir.2010.07.004 | |
dc.description.sourcetitle | Journal of Visual Communication and Image Representation | |
dc.description.volume | 21 | |
dc.description.issue | 8 | |
dc.description.page | 773-786 | |
dc.description.coden | JVCRE | |
dc.identifier.isiut | 000283827500002 | |
Appears in Collections: | Staff Publications |
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