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An Investigation in Multi-Feature Query Language Based Classification in Image Retrieval: Background Research

An Investigation in Multi-Feature Query Language Based Classification in Image Retrieval: Background Research
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Author(s): Raoul Pascal Pein (University of Huddersfield, UK), Joan Lu (University of Huddersfield, UK)and Wolfgang Renz (Hamburg University of Applied Sciences, Germany)
Copyright: 2013
Pages: 25
Source title: Design, Performance, and Analysis of Innovative Information Retrieval
Source Author(s)/Editor(s): Zhongyu (Joan) Lu (University of Huddersfield, UK)
DOI: 10.4018/978-1-4666-1975-3.ch021

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Abstract

The research field of “Content-Based Image Retrieval (CBIR)” is closely related to several others. This chapter provides an overview of the most relevant research fields and their interrelationship regarding this investigation. For each one, a summary of recent, related research is presented. In addition, the related preliminary work of the author is shortly presented. Based on this background information, major challenges in CBIR are discussed. The scope and the aims of this investigation have been adjusted to accommodate those challenges with respect to the given resources.

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