Please use this identifier to cite or link to this item: https://doi.org/10.1145/1631272.1631476
Title: GRVS: A georeferenced video search engine
Authors: Arslan Ay, S.
Zhang, L.
Kim, S.H.
He, M.
Zimmermann, R. 
Keywords: Georeferencing
GPS
Meta-data fusion
Video search
Issue Date: 2009
Source: Arslan Ay, S.,Zhang, L.,Kim, S.H.,He, M.,Zimmermann, R. (2009). GRVS: A georeferenced video search engine. MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums : 977-978. ScholarBank@NUS Repository. https://doi.org/10.1145/1631272.1631476
Abstract: An increasing number of recorded videos are being tagged with geographic properties of the camera scenes. This meta-data is of significant use for storing, indexing and searching large collections of videos. By considering video related meta-information, more relevant and precisely delimited search results can be returned. Our system implementation demonstrates a prototype of a georeferenced video search engine (GRVS) that utilizes an estimation model of a camera's viewable scene for efficient video search. For video acquisition, our system provides an automated annotation software that captures videos and their respective field of views (FOV). The acquisition software allows community-driven data contributions to the search engine.
Source Title: MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
URI: http://scholarbank.nus.edu.sg/handle/10635/40550
ISBN: 9781605586083
DOI: 10.1145/1631272.1631476
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