{"id":"https://openalex.org/W2800310088","doi":"https://doi.org/10.1587/transinf.2017edp7277","title":"Graph-Based Video Search Reranking with Local and Global Consistency Analysis","display_name":"Graph-Based Video Search Reranking with Local and Global Consistency Analysis","publication_year":2018,"publication_date":"2018-04-30","ids":{"openalex":"https://openalex.org/W2800310088","doi":"https://doi.org/10.1587/transinf.2017edp7277","mag":"2800310088"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2017edp7277","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7277","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/5/E101.D_2017EDP7277/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/5/E101.D_2017EDP7277/_pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061967814","display_name":"Soh Yoshida","orcid":"https://orcid.org/0000-0003-0237-7461"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soh YOSHIDA","raw_affiliation_strings":["Kansai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro OGAWA","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Miki HASEYAMA","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki HASEYAMA","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089184180","display_name":"Mitsuji Muneyasu","orcid":"https://orcid.org/0000-0002-4492-5991"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuji MUNEYASU","raw_affiliation_strings":["Kansai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University","institution_ids":["https://openalex.org/I56624758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.212,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53963811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"E101.D","issue":"5","first_page":"1430","last_page":"1440"},"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":0.9937999844551086,"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":0.9937999844551086,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9355000257492065,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8313961029052734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7973247766494751},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5627142190933228},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5461441874504089},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5350924730300903},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4248877763748169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36345070600509644},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.3571890592575073},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2229110598564148}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8313961029052734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973247766494751},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5627142190933228},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5461441874504089},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5350924730300903},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4248877763748169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36345070600509644},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3571890592575073},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2229110598564148}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1587/transinf.2017edp7277","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7277","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/5/E101.D_2017EDP7277/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.lib.hokudai.ac.jp:2115/70424","is_oa":false,"landing_page_url":"http://hdl.handle.net/2115/70424","pdf_url":null,"source":{"id":"https://openalex.org/S4306400549","display_name":"Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205349734","host_organization_name":"Hokkaido University","host_organization_lineage":["https://openalex.org/I205349734"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:irdb.nii.ac.jp:01364:0007184256","is_oa":true,"landing_page_url":"https://hdl.handle.net/2115/70424","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2017edp7277","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7277","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/5/E101.D_2017EDP7277/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.46000000834465027,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4284665530","display_name":"Development of methods for video corpus construction and time series annotation for video scene retrieval","funder_award_id":"17K12687","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2800310088.pdf","grobid_xml":"https://content.openalex.org/works/W2800310088.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1820015093","https://openalex.org/W1972442292","https://openalex.org/W2013808584","https://openalex.org/W2023170106","https://openalex.org/W2024082504","https://openalex.org/W2039118116","https://openalex.org/W2041062763","https://openalex.org/W2048318462","https://openalex.org/W2053186076","https://openalex.org/W2066636486","https://openalex.org/W2082713390","https://openalex.org/W2118509786","https://openalex.org/W2120477910","https://openalex.org/W2130660124","https://openalex.org/W2132914434","https://openalex.org/W2137758646","https://openalex.org/W2138621811","https://openalex.org/W2139823104","https://openalex.org/W2140406904","https://openalex.org/W2141581971","https://openalex.org/W2144080413","https://openalex.org/W2153500253","https://openalex.org/W2154455818","https://openalex.org/W2161149720","https://openalex.org/W2183341477","https://openalex.org/W2392997304","https://openalex.org/W2518494469","https://openalex.org/W4213009331","https://openalex.org/W4252076394"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2029032313","https://openalex.org/W4315563560","https://openalex.org/W2553559590","https://openalex.org/W2772061936","https://openalex.org/W2171766007","https://openalex.org/W2143990275","https://openalex.org/W1482912984"],"abstract_inverted_index":{"Video":[0],"reranking":[1,24,35,55,181],"is":[2,85,128,177,187],"an":[3],"effective":[4],"way":[5],"for":[6],"improving":[7],"the":[8,33,65,82,90,113,116,120,124,131,141,162,174,180,184,196,207],"retrieval":[9],"performance":[10],"of":[11,54,67,123],"text-based":[12],"video":[13,22,152,213],"search":[14,23],"engines.":[15],"This":[16],"paper":[17],"proposes":[18],"a":[19,38,61,77,145,165,211],"graph-based":[20,34],"Web":[21],"method":[25,118,143,209],"with":[26,74,112],"local":[27,91,191],"and":[28,42,48,192],"global":[29,121,193],"consistency":[30,84,92,122],"analysis.":[31],"Generally,":[32],"approach":[36],"constructs":[37],"graph":[39,125],"whose":[40],"nodes":[41,73],"edges":[43],"respectively":[44],"correspond":[45],"to":[46,76,137,179,210],"videos":[47,156],"their":[49],"pairwise":[50,68],"similarities.":[51],"A":[52],"lot":[53],"methods":[56],"are":[57,104],"built":[58],"based":[59],"on":[60,161],"scheme":[62],"which":[63,127,149,155,169],"regularizes":[64],"smoothness":[66],"relevance":[69],"scores":[70,172],"between":[71],"adjacent":[72],"regard":[75],"user's":[78],"query.":[79],"However,":[80],"since":[81],"overall":[83],"measured":[86],"by":[87,189,205],"aggregating":[88],"only":[89],"over":[93],"each":[94],"pair,":[95],"errors":[96],"in":[97,135,154],"score":[98,185,198],"estimation":[99,199],"increase":[100],"when":[101],"noisy":[102,114],"samples":[103],"included":[105],"within":[106,173],"query-relevant":[107],"videos'":[108],"neighbors.":[109],"To":[110],"deal":[111],"samples,":[115],"proposed":[117,208],"leverages":[119],"structure,":[126],"different":[129],"from":[130],"conventional":[132],"methods.":[133],"Specifically,":[134],"order":[136],"detect":[138,151],"this":[139],"consistency,":[140],"propose":[142],"introduces":[144],"spectral":[146],"clustering":[147],"algorithm":[148],"can":[150],"groups,":[153],"have":[157],"strong":[158],"semantic":[159],"correlation,":[160],"graph.":[163],"Furthermore,":[164],"new":[166],"regularization":[167,186],"term,":[168],"smooths":[170],"ranking":[171],"same":[175],"group,":[176],"introduced":[178],"framework.":[182],"Since":[183],"performed":[188],"both":[190],"aspects":[194],"simultaneously,":[195],"accurate":[197],"becomes":[200],"feasible.":[201],"Experimental":[202],"results":[203],"obtained":[204],"applying":[206],"real-world":[212],"collection":[214],"show":[215],"its":[216],"effectiveness.":[217]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
