We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
In the light of image retrieval evolving from text annotation to content-based and from standalone applications to web-based search engines, we foresee the need for deploying cont...
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
In this paper, we describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and ...
H. Sundar, Deborah Silver, Nikhil Gagvani, Sven J....
—In this paper we present a scalable and distributed system for image retrieval based on visual features and annotated text. This system is the core of the SAPIR project. Its arc...