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Design
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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: 8
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.ch023
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Abstract
In this chapter, a CBIR design based on previous work of the author (Pein, 2008) is presented. The available system already allows for a retrieval by a query string (Pein, Lu, & Renz, 2008a). In the context of this investigation, the system has been extended to support alternative user interfaces as well as a testing module used in the case studies below. Being a pure research prototype, the retrieval engine is optimized for generating accurate results in order to have a reliable data foundation. Further, the query language syntax and the constraints for a practical application of the learning algorithm are presented.
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