A system is presented that uses texture to retrieve and browse images stored in a large document image database. A method of graphically generating a candidate search image is use...
In a new model for answer retrieval, document collections are distilled offline into large repositories of facts. Each fact constitutes a potential direct answer to questions seek...
The main goal of content based image retrieval is to e ciently retrieve images that are visually similar to a query image. In this paper we will focus on content based image retri...
The Carnegie Mellon University Informedia group has enjoyed consistent success with TRECVID interactive search using traditional storyboard interfaces for shot-based retrieval. Fo...
Searching for images by using low-level visual features, such as color and texture, is known to be a powerful, yet imprecise, retrieval paradigm. The same is true if search relies...