Similarity Search Using Multiple Examples in MARS

Abstract. Unlike traditional database management systems, in multimedia databases that support content-based retrieval over multimedia objects, it is difficult for users to express their exact information need directly in the form of a precise query. A typical interface supported by content-based retrieval systems allows users to express their query in the form of examples of objects similar to the ones they wish to retrieve. Such a user interface, however, requires mechanisms to learn the query representation from the examples provided by the user. In our previous work, we proposed a query refinement mechanism in which a query representation is modified by adding new relevant examples based on user feedback. In this paper, we describe query processing mechanisms that can efficiently support query expansion using multidimensional index structures.

• Type: Conference
• Year: 1999
• Where: VISUAL
• Authors: Kriengkrai Porkaew, Sharad Mehrotra, Michael Ortega, Kaushik Chakrabarti
• Keywords: Content-based Retrieval, Information Management, Precise Query, Query Representation, VISUAL 1999