Global optimization strategies for indexing, ranking and clustering multimedia documents

摘要

A method for a system that indexes, ranks, and clusters multimedia documents using assessment means, scoring means, stochastic means, and organizing means that optimizes parameter sets comprising of object parameters. The method creates a plurality of individual parameter sets, the parameter sets comprising information sharing system object parameters for describing a model, structures, shape, design, process, search query sets, and dynamic search spaces to be optimized using selective variations, constructive variations, clustering variations, and stochastic variations. The optimizations are guided by document query terms of the search query set object parameter that are initially optimized by assessment means, scoring means, stochastic means, and organizing means that lead to selective variations, constructive variations, clustering variations, and stochastic variations of the parameter sets. The global optimization of parameter sets leads to stochastically improvements to all object parameters by selective variations, constructive variations, clustering variations, and stochastic variations.

主权项

1. A method for indexing, ranking, and clustering multimedia documents by optimizing parameter sets of object parameters using assessment means, scoring means, stochastic means, and organizing means that guide selective variations, constructive variations, clustering variations, and stochastic variations comprising the steps of:
creating an initial population of a plurity of individual parameter sets based on the multimedia documents, the parameter sets comprising information sharing system object parameters for describing a model, structure, shape, design, process, search query set, and dynamic search space to optimize; assessing the quality of a parameter set using the combination of two or more object parameters applying assessment means, scoring means, and stochastic means to guide search queries based on indexing score values, ranking score values, and clustering score values for each index term in the search query set object parameter; optimizing a parameter set using the combination of two or more object parameters applying scoring means and stochastic means to guide selective variations, constructive variations, clustering variations, and stochastic variations in nearest neighbor clusters of parameter sets; formulating nearest neighbor clusters of parameter sets for the transmission of cultural information resulting from applying scoring means and stochastic means to two or more object parameters until no nearest neighbor clusters of two or more parameter sets are found; grouping indexing scores, ranking scores, and clustering scores using organizing means document query terms of the search query set object parameter to form structure index term object parameters for each query term; and repeating all steps until achieving a periodic optimal multimedia clusters for combinations two or more object parameters of parameter sets.