A ten-year literature review of content-based image retrieval (CBIR) studies in the tourism industry

Purpose Due to the worldwide growth of digital image sharing and the maturity of the tourism industry, the vast and growing collections of digital images have become a challenge for those who use and/or manage these image data across tourism settings. To overcome the image indexing task with less la...

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Bibliographic Details
Published in:	Electronic library Vol. 39; no. 2; pp. 225 - 238
Main Authors:	Ammatmanee, Chanattra, Gan, Lu
Format:	Journal Article
Language:	English
Published:	Oxford Emerald Publishing Limited 17.07.2021 Emerald Group Publishing Limited
Subjects:	Authorship Co authorship Comparative analysis Digital imaging Errors Experiments Extraction Feature extraction Human error Image management Image retrieval Indexing Labor costs Literary criticism Literature reviews Neural networks Research methodology Retrieval Retrieval performance measures Semantics Smartphones Social networks Tourism Trends Visual perception United States > US Tourism Content-based image retrieval Digital image indexing Tourism industry
ISSN:	0264-0473, 1758-616X
Online Access:	Get full text
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