{"id":"https://openalex.org/W2039754096","doi":"https://doi.org/10.1109/isr.2013.6695696","title":"Mapping method between image and natural sentence","display_name":"Mapping method between image and natural sentence","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2039754096","doi":"https://doi.org/10.1109/isr.2013.6695696","mag":"2039754096"},"language":"en","primary_location":{"id":"doi:10.1109/isr.2013.6695696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isr.2013.6695696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE ISR 2013","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075343856","display_name":"Su Mei Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Su Mei Xi","raw_affiliation_strings":["School of Science, Qilu University of Technology, China","Dept. of Comput., Univ. of Suwon, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Qilu University of Technology, China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"Dept. of Comput., Univ. of Suwon, Suwon, South Korea","institution_ids":["https://openalex.org/I16764540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021552476","display_name":"Qian Gao","orcid":"https://orcid.org/0000-0002-0239-8708"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Qian Gao","raw_affiliation_strings":["School of Science, Qilu University of Technology, China","Dept. of Comput., Univ. of Suwon, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Qilu University of Technology, China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"Dept. of Comput., Univ. of Suwon, Suwon, South Korea","institution_ids":["https://openalex.org/I16764540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023896107","display_name":"Young Im Cho","orcid":"https://orcid.org/0000-0003-0184-7599"},"institutions":[{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Im Cho","raw_affiliation_strings":["Department of Computer, The University of Suwon, Korea","Dept. of Comput., Univ. of Suwon, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, The University of Suwon, Korea","institution_ids":["https://openalex.org/I16764540"]},{"raw_affiliation_string":"Dept. of Comput., Univ. of Suwon, Suwon, South Korea","institution_ids":["https://openalex.org/I16764540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14408074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9994999766349792,"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":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8188661336898804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.734714925289154},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6451733708381653},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.586217999458313},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.567846953868866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5501105785369873},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4643341302871704},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4315696954727173},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4134064018726349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36852598190307617},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3208414614200592},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05839470028877258}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8188661336898804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734714925289154},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6451733708381653},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.586217999458313},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.567846953868866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501105785369873},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4643341302871704},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4315696954727173},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4134064018726349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36852598190307617},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3208414614200592},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05839470028877258},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isr.2013.6695696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isr.2013.6695696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE ISR 2013","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1532257412","https://openalex.org/W1584193343","https://openalex.org/W1647729745","https://openalex.org/W1803014480","https://openalex.org/W1987835821","https://openalex.org/W2068676460","https://openalex.org/W2097826433","https://openalex.org/W2120419212","https://openalex.org/W2132440659","https://openalex.org/W2139117248","https://openalex.org/W2165542474","https://openalex.org/W2168652246","https://openalex.org/W2604706712","https://openalex.org/W6604280164","https://openalex.org/W6634846276","https://openalex.org/W6636975626","https://openalex.org/W6728708439","https://openalex.org/W6736452880","https://openalex.org/W6921703828","https://openalex.org/W7006809620"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2375873920","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"espouse":[4],"to":[5],"build":[6],"a":[7,15,43],"scoring":[8],"procedure":[9],"that":[10],"evaluates":[11],"the":[12,37,48,54,58],"similarity":[13],"between":[14],"sentence":[16,39],"and":[17],"an":[18,29],"image.":[19],"This":[20],"approach":[21],"is":[22,26,51],"attractive,":[23],"because":[24,47],"it":[25,64],"symmetric:":[27],"given":[28],"image":[30],"(resp.":[31,40],"sentence),":[32],"one":[33],"can":[34],"search":[35],"for":[36],"best":[38],"image)":[41],"in":[42],"large":[44],"set.":[45],"Furthermore,":[46],"learning":[49],"cost":[50],"independent":[52],"from":[53],"amount":[55],"of":[56],"data,":[57],"system":[59],"has":[60],"scalability,":[61],"which":[62],"makes":[63],"useful":[65],"with":[66],"large-scale":[67],"data.":[68]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}