{"id":"https://openalex.org/W2514193701","doi":"https://doi.org/10.1109/icip.2016.7532351","title":"Image and tag retrieval by leveraging image-group links with multi-domain graph embedding","display_name":"Image and tag retrieval by leveraging image-group links with multi-domain graph embedding","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2514193701","doi":"https://doi.org/10.1109/icip.2016.7532351","mag":"2514193701"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5035121152","display_name":"Kazuki Fukui","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuki Fukui","raw_affiliation_strings":["Division of Mathematical Science, Osaka University, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Mathematical Science, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018930307","display_name":"Akifumi Okuno","orcid":"https://orcid.org/0000-0001-9621-8853"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akifumi Okuno","raw_affiliation_strings":["Division of Mathematical Science, Osaka University, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Mathematical Science, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012479520","display_name":"Hidetoshi Shimodaira","orcid":"https://orcid.org/0000-0002-3371-7724"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidetoshi Shimodaira","raw_affiliation_strings":["Division of Mathematical Science, Osaka University, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Mathematical Science, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035121152"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72448688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"55","issue":null,"first_page":"221","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7635941505432129},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6871387362480164},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6423347592353821},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6073132157325745},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5093709230422974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4985616207122803},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.49654775857925415},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47991737723350525},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4597926139831543},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4574810862541199},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.4405818581581116},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.438170462846756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42480552196502686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4239519238471985},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4233753979206085},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14755502343177795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11720585823059082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7635941505432129},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6871387362480164},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6423347592353821},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6073132157325745},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5093709230422974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4985616207122803},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.49654775857925415},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47991737723350525},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4597926139831543},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4574810862541199},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.4405818581581116},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.438170462846756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42480552196502686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4239519238471985},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4233753979206085},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14755502343177795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11720585823059082},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":36,"referenced_works":["https://openalex.org/W109267858","https://openalex.org/W1550223312","https://openalex.org/W1662133657","https://openalex.org/W1670132599","https://openalex.org/W1970364187","https://openalex.org/W1975077471","https://openalex.org/W2005257348","https://openalex.org/W2007972815","https://openalex.org/W2025341678","https://openalex.org/W2062955551","https://openalex.org/W2070753207","https://openalex.org/W2099151709","https://openalex.org/W2100235303","https://openalex.org/W2111749241","https://openalex.org/W2112184938","https://openalex.org/W2118588468","https://openalex.org/W2124033848","https://openalex.org/W2125031621","https://openalex.org/W2125204570","https://openalex.org/W2141599568","https://openalex.org/W2150295085","https://openalex.org/W2151103935","https://openalex.org/W2153579005","https://openalex.org/W2155797815","https://openalex.org/W2210322478","https://openalex.org/W2252238675","https://openalex.org/W2397056351","https://openalex.org/W2963621294","https://openalex.org/W3148981562","https://openalex.org/W4237951138","https://openalex.org/W4294170691","https://openalex.org/W6636883489","https://openalex.org/W6678885109","https://openalex.org/W6680890276","https://openalex.org/W6683120131","https://openalex.org/W6712393308"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2071180033","https://openalex.org/W2036058638","https://openalex.org/W2528082075","https://openalex.org/W155590726"],"abstract_inverted_index":{"A":[0],"large":[1],"number":[2,65],"of":[3,25,66,75,101,108,115],"images":[4,29],"are":[5,40,81,87,106],"available":[6],"on":[7,83,93],"online":[8],"photo-sharing":[9],"services":[10],"along":[11],"with":[12,60],"rich":[13],"meta-data,":[14],"including":[15],"tags,":[16,31,71],"groups,":[17],"and":[18,30,36,72,77,110,123],"locations,":[19],"etc.":[20],"For":[21],"associating":[22,69],"two":[23],"domains":[24],"different":[26],"modalities,":[27],"e.g.":[28],"Canonical":[32],"Correlation":[33,54],"Analysis":[34,55],"(CCA)":[35],"its":[37],"extended":[38],"methods":[39],"used":[41],"widely.":[42],"We":[43],"employ":[44],"a":[45],"more":[46],"flexible":[47],"graph":[48],"embedding":[49],"method":[50],"called":[51],"Cross-Domain":[52],"Matching":[53],"(CDMCA),":[56],"which":[57,97],"can":[58],"deal":[59],"many-to-many":[61],"relationships":[62],"between":[63],"any":[64],"domains,":[67],"for":[68],"images,":[70,109],"groups.":[73],"Experiments":[74],"Tag-to-Image":[76],"Image-to-Tag":[78],"retrieval":[79,125],"tasks":[80,126],"performed":[82],"Flickr":[84],"images.":[85],"Tags":[86],"represented":[88],"by":[89,128],"feature":[90],"vectors":[91],"based":[92],"semantic":[94],"word":[95],"embedding,":[96],"enables":[98],"the":[99,113,130,134],"searching":[100],"even":[102],"unseen":[103],"tags.":[104],"Groups":[105],"collections":[107],"they":[111],"provide":[112],"information":[114,132],"image-group":[116],"links.":[117],"Our":[118],"experiments":[119],"show":[120],"that":[121],"image":[122],"tag":[124],"improve":[127],"utilizing":[129],"group":[131],"as":[133],"third":[135],"domain.":[136]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}