Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
In this paper we describe an interactive guide that is able to automatically retrieve information about objects on display in museums. A visitor can point this mobile device at exh...
This paper employs ConceptNet, which covers a rich set of commonsense concepts, to retrieve images with text descriptions by focusing on spatial relationships. Evaluation on test ...
This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010. Our approach is based on performing translat...
Miguel E. Ruiz, Jiangping Chen, Karthikeyan Pasupa...