{"id":"https://openalex.org/W2992055782","doi":"https://doi.org/10.1109/icawst.2019.8923581","title":"A Study on the Tourism Features Extraction from Photos in a Tourism Website by Image Analysis","display_name":"A Study on the Tourism Features Extraction from Photos in a Tourism Website by Image Analysis","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2992055782","doi":"https://doi.org/10.1109/icawst.2019.8923581","mag":"2992055782"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100415892","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0001-9142-5036"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuang Li","raw_affiliation_strings":["Graduate School of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034359695","display_name":"Jun Sasaki","orcid":"https://orcid.org/0000-0001-8319-3407"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Sasaki","raw_affiliation_strings":["Graduate School of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100415892"],"corresponding_institution_ids":["https://openalex.org/I6090238"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.46088971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8953999876976013,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8953999876976013,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.8416000008583069,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.8087000250816345,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.8423374891281128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.572950541973114},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4830663502216339},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4530588388442993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44310030341148376},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41575247049331665},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.33263760805130005},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2626655697822571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24558734893798828},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.21464991569519043},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.11396872997283936}],"concepts":[{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.8423374891281128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.572950541973114},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4830663502216339},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4530588388442993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44310030341148376},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41575247049331665},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.33263760805130005},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2626655697822571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24558734893798828},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.21464991569519043},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.11396872997283936},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1975969088","https://openalex.org/W2002463121","https://openalex.org/W2757842250","https://openalex.org/W2804372025","https://openalex.org/W2889340542","https://openalex.org/W2898730471","https://openalex.org/W2955053571","https://openalex.org/W3003745359","https://openalex.org/W6744323074","https://openalex.org/W6755603189"],"related_works":["https://openalex.org/W2391061603","https://openalex.org/W2386798499","https://openalex.org/W4388017739","https://openalex.org/W2352379149","https://openalex.org/W3216130691","https://openalex.org/W2369032308","https://openalex.org/W2977338326","https://openalex.org/W2376872419","https://openalex.org/W3157133093","https://openalex.org/W2357922224"],"abstract_inverted_index":{"For":[0],"a":[1,30,51,56],"foreign":[2,31],"independent":[3,32],"tour,":[4],"it":[5,14],"is":[6,15],"difficult":[7],"to":[8,17,39,44,58,83],"find":[9,40],"personally":[10],"adaptive":[11],"spots.":[12],"Therefore,":[13],"necessary":[16],"filter":[18],"the":[19,23,60,71,75,91,98,103],"tourism":[20,46,52,67,85],"features":[21,47],"of":[22,77,102],"tourist":[24],"attractions":[25],"that":[26,62],"are":[27],"suitable":[28],"for":[29,74],"tour.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,79],"attempt":[38],"an":[41,81],"effective":[42],"method":[43,57,105],"extract":[45,59,84],"from":[48],"photos":[49],"on":[50],"website.":[53],"We":[54,88],"propose":[55],"subjects":[61],"can":[63],"be":[64],"regarded":[65],"as":[66],"features.":[68],"To":[69],"determine":[70],"threshold":[72],"value":[73],"filtering":[76],"features,":[78],"conducted":[80],"experiment":[82],"feature":[86],"words.":[87],"also":[89],"compared":[90],"results":[92],"with":[93],"our":[94],"previous":[95],"work,":[96],"and":[97,100],"feasibility":[99],"limitations":[101],"proposed":[104],"have":[106],"been":[107],"confirmed.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
