Abstract:Currently there are many multimedia benchmarks and databases available with a predefined set of concepts for which detectors can be formed or are even already available. One can use these background concepts to form semantic concept vectors for each image or video in the database by concatenating the concept prediction outputs. In this paper we investigate the use of such semantic concept features for detecting novel concepts in two large-scale experiments: the TRECVID 2012 evaluation with 800 hours of video d… Show more
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