Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
In this paper we address image retrieval by similarity in multimedia databases. We discuss the generation and use of signatures computed from image content. The proposed technique...