Video is increasingly important to digital libraries and archives as both primary content and as context for the primary objects in collections. Services like YouTube not only off...
Gary Marchionini, Chirag Shah, Christopher A. Lee,...
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Since 1986 we have investigated the problems and possibilities of applying modern information retrieval methods to large online public access library catalogs (OPACs). In the Retr...
Edward A. Fox, Robert K. France, Eskinder Sahle, A...