Xie, Lexing; Yan, Rong; Yang, Jun
Multi-concept learning is an important problem in multimedia content analysis and retrieval. It connects two key components in the multimedia semantic ecosystem: multimedia lexicon and semantic concept detection. This paper aims to answer two questions related to multi-concept learning: does a large-scale lexicon help concept detection? how many concepts are enough? Our study on a largescale lexicon shows that more concepts indeed help improve detection performance. The gain is statistically...[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.