Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/182

Fast retrieval of similar configurations

Authors Papadias, D
Mantzourogiannis, M
Ahmad, Ishfaq
Issue Date 2003
Source IEEE transactions on multimedia , v. 5, (2), 2003, JUN, p. 210-222
Summary Configuration similarity is a special form of content-based image retrieval that considers relative, object locations. It can be used as a standalone method, or to complement retrieval based on visual or semantic features. The corresponding queries ask for sets of objects, that. satisfy some spatio-temporal constraints, e.g., "find all,triplets of objects (nu(1), nu(2), nu(3)), such that, nu(1) is northeast of nu(2), which is inside nu(3)." Exhaustive processing (i.e., retrieval of the best solutions) of configuration similarity queries, in general, has exponential complexity and fast search for sub-optimal solutions is the only way. to deal with the vast amounts of multimedia information in several real-time applications. In this paper we first discuss the utilization of nonsystematic search heuristics, based on genetic algorithms, simulated annealing and hill climbing approaches. An extensive experimentation. with real and synthetic datasets. reveals that hill climbing techniques are the best for the current problem; therefore, as a subsequent step we study the search space, and, develop improved variations of hill climbing that take advantage, of the. special structure. of the problem to enhance speed. The, proposed heuristic methods significantly outperform systematic search when them is only limited time for query processing.
Subjects
ISSN 1520-9210
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Language English
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