Internet Multimedia Search and Mining

Indexed in: EBSCO.

With the explosion of video and image data available on the Internet, desktops and mobile devices, multimedia search has gained immense importance. Moreover, mining semantics and other useful ...
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Weighted Data Fusion for CBMIR

Pp. 306-352 (47)

Peter Wilkins and Alan F. Smeaton

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

Affiliation:

Centre for Sensor Web Technologies, Dublin City University, Ireland.