Cross Media Retrieval in Knowledge Discovery

Abstract

Recent trends show that more and more digital cameras, video cameras and DVD recorders are sold and the number of emails and other messages sent increases each year. For example it is estimated that there will be nearly 300 million digital image capture devices in use worldwide through 2004, capturing about 29 billion digital pictures [12]. Users not only produce huge amounts of content, but this content is also spread over many different media types and document formats. Storing all contents implicates a great extent of documents in large, heterogeneous data repositories. Performing effective retrieval in heterogeneous repositories requires new approaches: documents in different formats containing different media types have to be transformed to a common denominator, and relations between contents of different media types must be established. This allows direct comparison of contents of different media types. In this paper we present a prototype called Magick that implements such an approach to cross-media retrieval.