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

机译：对旅游业的基于内容的图像检索（CBIR）研究的十年文献综述

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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 labour cost and improve the image retrieval task with less human errors, the content-based image retrieval (CBIR) technique has been investigated for the tourism domain particularly. This paper aims to review the relevant literature in the field to understand these previous works and identify research gaps for future directions. Design/methodology/approach - A systematic and comprehensive review of CBIR studies in tourism from the year 2010 to 2019, focussing on journal articles and conference proceedings in reputable online databases, is conducted by taking a comparative approach to critically analyse and address the trends of each fundamental element in these research experiments. Findings - Based on the review of the literature, the trends of CBIR studies in tourism is to improve image representation and retrieval by advancing existing feature extraction techniques, contributing novel techniques in the feature extraction process through fine-tuning fusion features and improving image query of CBIR systems. Co-authorship, tourist attraction sector and fusion image features have been in focus. Nonetheless, the number of studies in other tourism sectors and available image databases could be further explored. Originality/value - The fact that no existing academic review of CBIR studies in tourism makes this paper a novel contribution.
机译：目的 - 由于全球数字图像共享的增长和旅游业的成熟度，庞大且越来越越来越多的数字图像集合对于那些在旅游环境中使用和/或管理这些图像数据的人来说已经成为挑战。为了克服劳动力成本较少的图像索引任务，并提高人类误差较少的图像检索任务，特别是对旅游域的基于内容的图像检索（CBIR）技术。本文旨在审查现场相关文献，了解这些以前的作品，并确定未来方向的研究差距。设计/方法/方法 - 从2010年到2019年度到2019年旅游中CBIR研究的系统和全面审查，通过采取比较方法来对批评分析和解决趋势来进行信誉良好的在线数据库的日记文章和会议诉讼。这些研究实验中的每个基本要素。研究结果 - 基于文献的审查，旅游中CBIR研究的趋势是通过推进现有特征提取技术来改善图像表示和检索，通过微调融合特征以及改进图像查询，提高特征提取过程中的新技术CBIR系统。共同作者，旅游景点和融合图像特征是焦点。尽管如此，可以进一步探索其他旅游业和可用图像数据库的研究数量。原创性/价值 - 没有对旅游中CBIR研究的现有学术审查的事实使本文成为一个新颖的贡献。

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