A design of a Kansei retrieval system for distributed multimedia databases

We designed a Kansei retrieval system, which facilitates integrated retrieval of multimedia data from several distributed multimedia databases on the network according to user´s sensibility. This system is based on the method we proposed, of semi-automatic indexing with emotional keywords such as genre names for multimedia database (e.g. movie files, audio files) according to user´s sensibility by using users´ access histories for databases. In order to facilitate integrated Kansei retrieval, we designed the system with a meta-search engine, and also designed the protocol among clients, meta-search engine, and databases