In this paper, we describe a method of generating link collections in a user-specified category by comprehensively collecting existing link collections and analyzing their hyperli...
Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by explo...
Identifying verbally and non-verbally referred-to objects is an important aspect of human-robot interaction. Most importantly, it is essential to achieve a joint focus of attentio...
The dissemination of information available through the World Wide Web makes universal access more and more important and supports visually disabled people in their everyday life. ...
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...