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|Title:||GRVS: A georeferenced video search engine|
|Authors:||Arslan Ay, S.|
|Citation:||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|
|Appears in Collections:||Staff Publications|
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