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On-the-Fly Video Event Search by Semantic Signatures

In this technical demonstration, we showcase an event search engine that facilities instant access to an archive of web video. Different from many search engines which rely on high dimensional low-level visual features to represent videos, we rely on our proposed semantic signature. We extract semantic signature as the detection scores obtained by applying a vocabulary of 1,346 concept detectors on videos. The semantic signatures are compact, semantic and effective, as we will demonstrate for on-the-fly event retrieval using only a few positive examples. In addition, we will show how the signatures provide a crude interpretation on why a certain video has been retrieved.