Dynamic vocabularies for web-based concept detection by trend discovery
Damian Borth, Adrian Ulges, Thomas Michael Breuel · 2012
We present a novel approach towards automatic vocabulary selection for video concept detection. Our key idea is to expand concept vocabularies with trending topics that we mine automatically on other media like Wikipedia or Twitter. We evaluate several strategies for extending concept detection to auto-detect these topics in new videos, either by linking them to a static concept vocabulary, by a visual learning of trends on the fly, or by an expansion of the vocabulary.