Design and implementation of a content-based multimedia IR system for cyber museums

In some applications like a cyber museum, it is necessary to do an efficient content-based retrieval on multimedia data. The content-based retrieval should be done based on visual features like color, shape, and texture. In this paper, we develop a content-based multimedia information retrieval system for a cyber-museum, especially china images. For this, we first extract not only keywords from the caption or the text information of china images, but also visual features from the images. In addition, we propose an integrated indexing scheme that supports the feature-based retrieval from the china images, such as color and shape. We also implement a user interface using JAVA applet on the World-Wide Web. Finally, we show from our experimental result that our multimedia information retrieval system is good on retrieval effectiveness.