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Agent-like support for content-based retrieval and navigation

In this paper we show how agent-like processes may be used to support content based retrieval and navigation in MAVIS, a multimedia architecture for video, image and sound. The processes provide automatic classification of feature vectors from users' selections when a multimedia thesaurus (MMT) is present and feature vector clustering in the absence of an MMT.