Soft Query in Image Retrieval Systems
نویسندگان
چکیده
We explore the use of soft computing and user de ned classi cations in multimedia database systems for contentbased queries. With traditional database systems, objects/tuples are grouped into classes/relations using \hard" membership. Hence, the result of a query to obtain the members of a class is a xed set. With multimedia databases, however, an object may belong to di erent classes with di erent probabilities (\soft" membership). In addition, alternative users may classify objects di erently due to subjectivity of human perception on multimedia objects. In order to remedy for this situation, we propose a uni ed model that captures both conventional techniques and soft memberships. We implemented the model by extending the traditional database query capabilities such that the result of a query depends on the user who submits the query. We compared our proposed system with conventional image retrieval systems and observed a signi cant margin of improvement in matching the user expectations.
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