{"id":"https://openalex.org/W4322576376","doi":"https://doi.org/10.1109/tmm.2023.3250088","title":"Semantic Relevance Learning for Video-Query Based Video Moment Retrieval","display_name":"Semantic Relevance Learning for Video-Query Based Video Moment Retrieval","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4322576376","doi":"https://doi.org/10.1109/tmm.2023.3250088"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3250088","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5084746603","display_name":"Shuwei Huo","orcid":"https://orcid.org/0000-0002-7290-7838"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"funder","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwei Huo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067013431","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0002-6072-337X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"funder","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746361","display_name":"Ruolin Wang","orcid":"https://orcid.org/0000-0003-0281-7631"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"funder","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruolin Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389005","display_name":"Wei Xiang","orcid":"https://orcid.org/0000-0002-0608-065X"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"funder","lineage":["https://openalex.org/I196829312"]},{"id":"https://openalex.org/I86467917","display_name":"James Cook University","ror":"https://ror.org/04gsp2c11","country_code":"AU","type":"funder","lineage":["https://openalex.org/I86467917"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Xiang","raw_affiliation_strings":["College of Science and Engineering, James Cook University, Cairns, QLD, Australia","School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"College of Science and Engineering, James Cook University, Cairns, QLD, Australia","institution_ids":["https://openalex.org/I86467917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072714962","display_name":"Sun\u2010Yuan Kung","orcid":"https://orcid.org/0000-0002-7314-0720"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"funder","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sun-Yuan Kung","raw_affiliation_strings":["Electrical Engineering Department, Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.891,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.99996,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":85,"max":88},"biblio":{"volume":"25","issue":null,"first_page":"9290","last_page":"9301"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9999,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9999,"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":0.9993,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9986,"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/relevance","display_name":"Relevance","score":0.6461336},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5264954},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41339296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.88790214},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.66139406},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6461336},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.55152255},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5264954},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.50502497},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4916659},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.45614052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45524803},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.43367556},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43319148},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42139325},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41339296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11513248},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3250088","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62171320"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"U2006211"}],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1906515132","https://openalex.org/W1927052826","https://openalex.org/W2018068650","https://openalex.org/W2059245310","https://openalex.org/W2084341401","https://openalex.org/W2086842362","https://openalex.org/W2113321810","https://openalex.org/W2167851108","https://openalex.org/W2250539671","https://openalex.org/W2344188636","https://openalex.org/W2471143248","https://openalex.org/W2529163075","https://openalex.org/W262578090","https://openalex.org/W2755876276","https://openalex.org/W2798354744","https://openalex.org/W2887928923","https://openalex.org/W2897628926","https://openalex.org/W2949888942","https://openalex.org/W2962790054","https://openalex.org/W2963017553","https://openalex.org/W2963321993","https://openalex.org/W2964089981","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2979933490","https://openalex.org/W2997429269","https://openalex.org/W2997762001","https://openalex.org/W2998355566","https://openalex.org/W2998525594","https://openalex.org/W3035524453","https://openalex.org/W3101429639","https://openalex.org/W3108328693","https://openalex.org/W3110997624","https://openalex.org/W3120494681","https://openalex.org/W3128880094","https://openalex.org/W3132753749","https://openalex.org/W3145450063","https://openalex.org/W3153043989","https://openalex.org/W3155721152","https://openalex.org/W3157965216","https://openalex.org/W3167480762","https://openalex.org/W3174490084","https://openalex.org/W3176471072","https://openalex.org/W4205605843","https://openalex.org/W4230025115"],"related_works":["https://openalex.org/W3194422352","https://openalex.org/W2560191017","https://openalex.org/W2516873349","https://openalex.org/W2397627326","https://openalex.org/W2380654781","https://openalex.org/W2348892528","https://openalex.org/W2176214140","https://openalex.org/W2114797768","https://openalex.org/W2014728371","https://openalex.org/W1981131819"],"abstract_inverted_index":{"The":[0],"task":[1,30],"of":[2,39,46,87,120,177],"video-query":[3],"based":[4],"video":[5,41,64],"moment":[6],"retrieval":[7,45],"(VQ-VMR)":[8],"aims":[9],"to":[10,32,55,78],"localize":[11],"the":[12,15,33,47,58,62,68,80,115,123,127,139,143,146,150,161,178,182],"segment":[13],"in":[14,67,142],"reference":[16,69],"video,":[17],"which":[18,173],"matches":[19],"semantically":[20],"with":[21,113],"a":[22,28,52,74,85,95,102,133,155],"short":[23],"query":[24,63],"video.":[25,70],"This":[26],"is":[27],"challenging":[29],"due":[31],"rapid":[34],"expansion":[35],"and":[36,65,101,117],"massive":[37],"growth":[38],"online":[40],"services.":[42],"With":[43],"accurate":[44],"target":[48],"moment,":[49],"we":[50],"propose":[51],"new":[53,75],"metric":[54],"effectively":[56,111],"assess":[57],"semantic":[59,82,128],"relevance":[60,83],"between":[61,84,130,152],"segments":[66],"We":[71,164],"also":[72],"develop":[73],"VQ-VMR":[76],"framework":[77],"discover":[79],"intrinsic":[81],"pair":[86],"input":[88],"videos.":[89,121,144],"It":[90],"comprises":[91],"two":[92,170],"key":[93,171],"components:":[94],"Fine-grained":[96],"Feature":[97],"Interaction":[98],"(FFI)":[99],"module":[100,125,148],"Semantic":[103],"Relevance":[104],"Measurement":[105],"(SRM)":[106],"module.":[107],"Together":[108],"they":[109],"can":[110],"deal":[112],"both":[114],"spatial":[116,140],"temporal":[118,162],"dimensions":[119],"First,":[122],"FFI":[124],"computes":[126],"similarity":[129,151],"videos":[131,153],"at":[132],"local":[134],"frame":[135],"level,":[136],"mainly":[137],"considering":[138],"information":[141],"Subsequently,":[145],"SRM":[147],"learns":[149],"from":[154],"global":[156],"perspective,":[157],"taking":[158],"into":[159],"account":[160],"information.":[163],"have":[165],"conducted":[166],"extensive":[167],"experiments":[168],"on":[169],"datasets":[172],"demonstrate":[174],"noticeable":[175],"improvements":[176],"proposed":[179],"approach":[180],"over":[181],"state-of-the-art":[183],"methods.":[184]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4322576376","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-04-20T15:18:36.171107","created_date":"2023-02-28"}