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Proceedings Paper

Human factors in automatic image retrieval system design and evaluation
Author(s): Alejandro Jaimes
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Paper Abstract

Image retrieval is a human-centered task: images are created by people and are ultimately accessed and used by people for human-related activities. In designing image retrieval systems and algorithms, or measuring their performance, it is therefore imperative to consider the conditions that surround both the indexing of image content and the retrieval. This includes examining the different levels of interpretation for retrieval, possible search strategies, and image uses. Furthermore, we must consider different levels of similarity and the role of human factors such as culture, memory, and personal context. This paper takes a human-centered perspective in outlining levels of description, types of users, search strategies, image uses, and human factors that affect the construction and evaluation of automatic content-based retrieval systems, such as human memory, context, and subjectivity.

Paper Details

Date Published: 16 January 2006
PDF: 9 pages
Proc. SPIE 6061, Internet Imaging VII, 606103 (16 January 2006); doi: 10.1117/12.660255
Show Author Affiliations
Alejandro Jaimes, Fuji Xerox Co., Ltd. (Japan)

Published in SPIE Proceedings Vol. 6061:
Internet Imaging VII
Simone Santini; Raimondo Schettini; Theo Gevers, Editor(s)

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