Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation...
Sonia Bergamaschi, Francesco Guerra, Mirko Orsini,...
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...
Region-based memory management offers several important potential advantages over garbage collection, including real-time performance, better data locality, and more efficient us...