Smart tourism: exploring historical, cultural, and delicacy scenic spots using visual-based image search ...

Title	Smart tourism: exploring historical, cultural, and delicacy scenic spots using visual-based image search technology
Creator	陳聖智 Huang, Cheng Ming;Chen, Sheng Chih
Contributor	傳播學院
Key Words	E-Tourism; Mobile Tour Development; Visual Search
Date	2015-05
Date Issued	6-Jun-2016 15:46:54 (UTC+8)
Summary	Learning of the rich historical and cultural backgrounds of scenic spots in a limited time is difficult for nonlocal and foreign tourists during their visit. However, tourists can enhance their visiting experience rapidly and familiarize themselves with and explore local histories and cultures by using digital technology. This study involved developing a smart tourism application system for historical and cultural scenic spots for tourists based on visual search technology. The results of the experiment indicated that the current accuracy of the image search identification is 86%.
Relation	Applied Mechanics and Materials, Vol.764-765, pp.1265-1269
Type	article
DOI	http://dx.doi.org/10.4028/www.scientific.net/AMM.764-765.1265

dc.contributor	傳播學院
dc.creator (作者)	陳聖智	zh_TW
dc.creator (作者)	Huang, Cheng Ming;Chen, Sheng Chih
dc.date (日期)	2015-05
dc.date.accessioned	6-Jun-2016 15:46:54 (UTC+8)	-
dc.date.available	6-Jun-2016 15:46:54 (UTC+8)	-
dc.date.issued (上傳時間)	6-Jun-2016 15:46:54 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/97692	-
dc.description.abstract (摘要)	Learning of the rich historical and cultural backgrounds of scenic spots in a limited time is difficult for nonlocal and foreign tourists during their visit. However, tourists can enhance their visiting experience rapidly and familiarize themselves with and explore local histories and cultures by using digital technology. This study involved developing a smart tourism application system for historical and cultural scenic spots for tourists based on visual search technology. The results of the experiment indicated that the current accuracy of the image search identification is 86%.
dc.format.extent	125 bytes	-
dc.format.mimetype	text/html	-
dc.relation (關聯)	Applied Mechanics and Materials, Vol.764-765, pp.1265-1269
dc.subject (關鍵詞)	E-Tourism; Mobile Tour Development; Visual Search
dc.title (題名)	Smart tourism: exploring historical, cultural, and delicacy scenic spots using visual-based image search technology
dc.type (資料類型)	article
dc.identifier.doi (DOI)	10.4028/www.scientific.net/AMM.764-765.1265
dc.doi.uri (DOI)	http://dx.doi.org/10.4028/www.scientific.net/AMM.764-765.1265