Weighted Data Fusion for CBMIR
Pp. 306-352 (47)
Peter Wilkins and Alan F. Smeaton
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.
Data fusion, Query optimization, CBMIR, Image Retrieval, Video Retrieval,
Evaluation, TRECVID, ImageCLEF, Multimodal, Query by example
Centre for Sensor Web Technologies, Dublin City University, Ireland.