Wei Wang

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Automatically discovering repetitive clips from large video database is a challenging problem due to the enormous computational cost involved in exploring the huge solution space. Without any <i>a priori</i> knowledge of the contents, lengths and total number of the repetitive clips, we need to discover all of them in the video database. To address the(More)
With the increasing number of geographical image databases on the Internet, it is a very important issue to know about the most relevant image databases for given user queries, in order to achieve high efficiency in retrieving the images. To address this problem, we have developed a novel system, Webview, which intelligently ranks the distributed(More)
1 Introduction Content-based image retrieval using low-level features such as color, texture and shape has been well studied. Various image querying systems have been built based on the low-level features for general or specific image retrieval tasks. The application of these approaches in geographic images have been explored, e.g. [1]. However, retrieving(More)
State-of-art image retrieval techniques have been developed to support high-level (semantics) querying and browsing of images. For certain user queries, it is also very important to know about the information about the remote image databases on the Internet so that the queries can be guided toward the most relevant databases. In this paper, we introduce a(More)
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