Abstract
In this chapter we present an overview of data fusion, and how it can be applied to the task of internet multimedia search, specifically content-based multimedia search. The chapter will primarily be focused on the weighted combination of ranked results from different retrieval experts, to formulate a final ranking for some given content-based information need. The types of data under examination in this chapter are low-level multimedia features, such as colour histograms, edge detection etc. The chapter reports an extensive series of experiments on a sizable collection of visual media and from these experiments a set of interesting and surprising results emerge.
Keywords: Data fusion, Query optimization, CBMIR, Image Retrieval, Video Retrieval, Evaluation, TRECVID, ImageCLEF, Multimodal, Query by example
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