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Design and implementation of geo-tagged video search framework
2010
Journal of Visual Communication and Image Representation
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
doi:10.1016/j.jvcir.2010.07.004
fatcat:27cxb4evfrhntc64sudw55ob7a