Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into acc...
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-K...
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El...
Current image retrieval systems do not provide users with adequate interfaces able to reduce the semantic gap existing between the high-level semantics of images (as perceived by t...
The main research in the area of image databases addresses the improvement of retrieval quality and the speedup of the query processing. A number of image retrieval systems reache...
The first image retrieval systems hold the advantage of being fully automatic, and thus scalable to large collections of images but are restricted to the representation of low-lev...
Mohammed Belkhatir, Philippe Mulhem, Yves Chiarame...
Abstract--User-system interaction is sometimes a cumbersome element of non-textual information access. Image retrieval systems now incorporate various interaction mechanisms. Howev...
This papers presents CIRES, a new online system for content-based retrieval in digital image libraries. Contentbased image retrieval systems have traditionally used color and text...
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems ...