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The problem of similarity search in large time series databases has attracted much attention recently. It is a non-trivial problem because of the inherent high dimensionality of the data. The most promising solutions involve first performing dimensionality reduction on the data, and then indexing the reduced data with a spatial access method. Three major(More)
| Content-Based Image Retrieval CBIR has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many systems built. While these research eeorts establish the basis of CBIR, the usefulness of the proposed approaches is limited. Speciically, these eeorts have relatively ignored two(More)
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data. The most promising solutions involve performing dimensionality reduction on the data, then indexing the reduced data with a multidimensional index structure. Many dimensionality(More)
Rapid advances in networking and Internet technologies have fueled the emergence of the "software as a service" model for enterprise computing. Successful examples of commercially viable software services include rent-a-spreadsheet, electronic mail services, general storage services, disaster protection services. "Database as a Service" model provides users(More)
Technology advances in the areas of Image processing (IP) and Information Retrieval (IR) have evolved separately for a long time. However, successful content-based image retrieval systems require the integration of the two. There is an urgent need to develop integration mechanisms to link the image retrieval model to text retrieval model, such that the well(More)
| Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many systems built. While these research eeorts establish the basis of CBIR, the usefulness of the proposed approaches is limited. Speciically, these eeorts have relatively ignored two(More)
Key frame extraction has been recognized as one of the important research issues in video information retrieval. Although progress has been made in key frame extraction, the existing approaches are either compu-tationally expensive or ineeective i n capturing salient visual content. In this paper, we rst discuss the importance of key frame selection; and(More)
A fundamental task in video analysis is to extract structures from the video to facilitate user's access (browsing and retrieval). Motivated by the important role that the table of content (ToC) plays in a book, in this paper, we introduce the concept of ToC in the video domain. Some existing approaches implicitly use the ToC, but are mainly limited to(More)
Many emerging application domains require database systems to support efficient access over highly mul-tidimensional datasets. The current state-of-the-art technique to indexing high dimensional data is to first reduce the dimensionality of the data using Principal Component Analysis and then indexing the reduced-dimensionality space using a(More)