In this paper we present FIRE, a content-based image retrieval system and the methods we used in the ImageCLEF 2004 evaluation. In FIRE, different features are available to repre...
The proliferation of the World Wide Web has brought information retrieval (IR) techniques to the forefront of search technology. To the average computer user, “searching” now ...
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Methods of retrieving images that incorporate humangenerated metadata, such as keyword annotation and collaborative filtering, are less vulnerable to the semantic gap than content...
In this paper, a series of window-based methods is proposed for information retrieval. Compared with traditional tf-idf model, our approaches are based on two new key notions. The ...