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Content‐based image retrieval methods and professional image users
Author(s) -
Beaudoin Joan E.
Publication year - 2016
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23387
Subject(s) - computer science , content based image retrieval , image retrieval , information retrieval , image (mathematics) , artificial intelligence
This article reports the findings of a qualitative research study that examined professional image users' knowledge of, and interest in using, content‐based image retrieval ( CBIR ) systems in an attempt to clarify when and where CBIR methods might be applied. The research sought to determine the differences in the perceived usefulness of CBIR technologies among image user groups from several domains and explicate the reasons given regarding the utility of CBIR systems for their professional tasks. Twenty participants (archaeologists, architects, art historians, and artists), individuals who rely on images of cultural materials in the performance of their work, took part in the study. The findings of the study reveal that interest in CBIR methods varied among the different professional user communities. Individuals who showed an interest in these systems were primarily those concerned with the formal characteristics (i.e., color, shape, composition, and texture) of the images being sought. In contrast, those participants who expressed a strong interest in images of known items, images illustrating themes, and/or items from specific locations believe concept‐based searches to be the most direct route. These image users did not see a practical application for CBIR systems in their current work routines.