In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
In this paper, we propose and investigate a new user scenario for face annotation, in which users are allowed to multi-select a group of photographs and assign names to these phot...
Lei Zhang, Yuxiao Hu, Mingjing Li, Wei-Ying Ma, Ho...
Involving a school teacher in the development of the intelligent writing tutor StoryStation allowed progress to be made on the problem of story classification, an aspect of story...
Until recently, issues in image retrieval have been handled in DBMSs and in computer vision as separate research works. Nowadays, the trend is towards integrating the two approach...
Solomon Atnafu, Richard Chbeir, David Coquil, Lion...
In this paper we propose a new metaphor of information retrieving, usable in heritage management and publishing. Based on the net, the user is able to participate in virtual guide...
Dorin Mircea Popovici, Serge Morvan, Eric Maisel, ...