Facilitating Multimedia Database Exploration through Visual Interfaces and Perpetual Query Reformulations

Abstract

Since multimedia retrieval is based on similarity calculations of semantics and media-based search, exact matches are not expected. We view querying multimedia database as a combination of IR, image matching, and traditional database query processing and it should be conducted in a way of perpetual query reformulation for honing target results. In this paper we present a hybrid multimedia database system, which employs a hierarchical database statistics structure for both query optimization and reformulation analysis without adding additional query processing cost. The contribution of this work is the integration of database methodology, user interface design, IR concepts, and image matching techniques for facilitating multimedia database exploration. 1 Introduction Query processing in multimedia databases is different from that in traditional database systems. Because contents stored in traditional database systems are rather precise, query results are certain. In information retri..