Please use this identifier to cite or link to this item: https://doi.org/10.1145/1730836.1730866
Title: Vector model in support of versatile georeferenced video search
Authors: Kim, S.H.
Ay, S.A.
Yu, B.
Zimmermann, R. 
Keywords: Georeferencing
GPS
Meta-data
Video search
Issue Date: 2010
Source: Kim, S.H.,Ay, S.A.,Yu, B.,Zimmermann, R. (2010). Vector model in support of versatile georeferenced video search. MMSys'10 - Proceedings of the 2010 ACM SIGMM Conference on Multimedia Systems : 235-246. ScholarBank@NUS Repository. https://doi.org/10.1145/1730836.1730866
Abstract: Increasingly geographic properties are being associated with videos, especially those captured from mobile cameras. The meta data from camera-attached sensors can be used to model the coverage area of the scene as a spatial object such that videos can be organized, indexed and searched based on their field of views (FOV). The most accurate representation of an FOV is through the geometric shape of a circular sector. However, spatial search and indexing methods are traditionally optimized for rectilinear shapes because of their simplicity. Established methods often use an approximation shape, such as a minimum bounding rectangle (MBR), to efficiently filter a large archive for possibly matching candidates. A second, refinement step is then applied to perform the time-consuming, precise matching function. MBR estimation has been successful for general spatial overlap queries, however it provides limited flexibility for georeferenced video search. In this study we propose a novel vector-based model for FOV estimation which provides a more versatile basis for georeferenced video search while providing competitive performance for the filter step. We demonstrate how the vector model can provide a unified method to perform traditional overlap queries while also enabling searches that, for example, concentrate on the vicinity of the camera's position or harness its view direction. To the best of our knowledge no comparable technique exists today. Copyright 2010 ACM.
Source Title: MMSys'10 - Proceedings of the 2010 ACM SIGMM Conference on Multimedia Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/40344
ISBN: 9781605589145
DOI: 10.1145/1730836.1730866
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