This state-of-the-art reference covers adaptive content-based retrieval systems and techniques in image and video database applications. It first introduces a perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR), providing an effective tool to bridge the perceptual gap between high-level semantics in human vision and low-level features used by computers. The text includes a novel machine-controlled interactive retrieval (MCIR) method that optimizes image search in distributed digital ...
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This state-of-the-art reference covers adaptive content-based retrieval systems and techniques in image and video database applications. It first introduces a perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR), providing an effective tool to bridge the perceptual gap between high-level semantics in human vision and low-level features used by computers. The text includes a novel machine-controlled interactive retrieval (MCIR) method that optimizes image search in distributed digital libraries over the Internet. Finally, UCIR and MCIR systems are demonstrated by applications including Digital Asset Management (DAM), Geographical Database Retrieval, Searching and Retrieval of Art Documents, and Film and Video Retrieval.
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Add this copy of Multimedia Database Retrieval:: A Human-Centered to cart. $103.32, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2010 by Springer.
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