Abstract
This chapter reviews the challenges and current trends in collecting intermedia information from distributed multimedia sources. The term intermedia refers to the ability to manifest application concepts by collecting, aggregating, or correlating content structures extracted from varying media types spread across multiple information sources. The motivation for studying collections of intermedia content structures is the fact that application, or semantic, concepts are often best identified by considering the content provided in and across multiple text, image, video, and audio information sources. In terms of the CBAM technical components (Figure 2.6), this chapter provides considers the issues involved with intermedia management of multimedia content spread across multiple information sources. As will be seen, the current state of the art requires that we first focus on the content markup facilities that enable semantic rewriting, multi-source collecting, and rank merging across a diverse set of multimedia sources.
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