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Dimension reduction methods have been commonly used for content-based multimedia indexing and retrieval. In this paper, we investigate the use of a mapping by adaptive threshold (MAT) method for dimension reduction of feature data. The proposed MAT method is implemented and compared to two other well-known dimension reduction methods, namely Principal Component Analysis and Multidimensional Scaling...
This paper presents a content-based multimedia indexing and retrieval framework designed for mobile platforms running Symbian-based operating system. It is mainly developed by focusing on mobile platform restrictions and Symbian features. The proposed framework is built on a client-server architecture, where the client side basically consists of the user interface and controllers, and the server is...
The rapid increase in the size of digital image and video collections is urging for the development of efficient browsing and search tools that skip the subjective task of keyword indexing, paving the way for the ambitious and challenging idea of content based description of imagery. With this goal in mind the MUVIS1 system attempts to provide an integrated solution for the indexing and retrieval...
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