Image Information Service with Integrated Content-based Retrieval Facilities

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(1) Content-based Retrieval Algorithms for Various Kinds of Images : We developed graphical feature parameters to simulate the neural network of human visual perception process at physiological level. We also developed generalized model for mutual interaction among neighboring cells such as lateral inhibition at local scope as well as whole visual cells such as light adaptation at global scope.(2) Image Database Server on the Internet : We developed database agent mechanism. It manages parallel access to the database servers in different tag structures and integrates the responses from them into the single format through the single user interface.(3) Integrated Graphical User Interface : We developed user interfaces for intuitive interaction by interface agent mechanism. It applies information filtering based on the Kansei model of the user to provide user friendly interaction at cognition level as well as visual level.