Large Scale Video Analytics
نویسندگان
چکیده
Video is an increasingly common mode of communication and expression, but the resultant archives are massive, disconnected datasets. This severely hinders research in this area, and this will only get worse as the archive expands. Our aim in the Large Scale Video Analytics (LSVA) project is to address obstacles in both image-retrieval and research that uses extreme-scale archives of video data that employs a human-machine hybrid process for analyzing moving images. We will show early results of the humanmachine-machine hybrid process that uses a customized ondemand configuration that enables iterative queries and, as such, affords the human user a greater degree of analysis and interpretation.
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تاریخ انتشار 2012