{"id":"https://openalex.org/W1980921654","doi":"https://doi.org/10.1109/tmm.2015.2398195","title":"Efficient Heuristic Methods for Multimodal Fusion and Concept Fusion in Video Concept Detection","display_name":"Efficient Heuristic Methods for Multimodal Fusion and Concept Fusion in Video Concept Detection","publication_year":2015,"publication_date":"2015-01-29","ids":{"openalex":"https://openalex.org/W1980921654","doi":"https://doi.org/10.1109/tmm.2015.2398195","mag":"1980921654"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2015.2398195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2015.2398195","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_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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5033213528","display_name":"Jie Geng","orcid":"https://orcid.org/0000-0003-4858-823X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Geng","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111825657","display_name":"Zhenjiang Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjiang Miao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363171","display_name":"Xiaoping Zhang","orcid":"https://orcid.org/0009-0004-9381-1124"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao-Ping Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033213528"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":1.4728,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87819504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"4","first_page":"498","last_page":"511"},"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":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.996399998664856,"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":0.8230419158935547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6294347643852234},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6026360988616943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5473983883857727},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.45512980222702026},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44130077958106995},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3425872027873993},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.1025247573852539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230419158935547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6294347643852234},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6026360988616943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5473983883857727},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.45512980222702026},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44130077958106995},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3425872027873993},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.1025247573852539},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/tmm.2015.2398195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2015.2398195","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_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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3715315662","display_name":null,"funder_award_id":"6127327461370127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5982144510","display_name":null,"funder_award_id":"RGPIN239031","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7637823156","display_name":null,"funder_award_id":"2011CB302203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W115432069","https://openalex.org/W1605811577","https://openalex.org/W1822439997","https://openalex.org/W1967879792","https://openalex.org/W1982366717","https://openalex.org/W1989085630","https://openalex.org/W2003621468","https://openalex.org/W2019048571","https://openalex.org/W2025892599","https://openalex.org/W2025954386","https://openalex.org/W2031342017","https://openalex.org/W2035621010","https://openalex.org/W2036931824","https://openalex.org/W2053101950","https://openalex.org/W2054689585","https://openalex.org/W2061272711","https://openalex.org/W2078396654","https://openalex.org/W2080846962","https://openalex.org/W2080943432","https://openalex.org/W2081293863","https://openalex.org/W2081712564","https://openalex.org/W2082713390","https://openalex.org/W2092485668","https://openalex.org/W2093775575","https://openalex.org/W2096479579","https://openalex.org/W2099736636","https://openalex.org/W2104311745","https://openalex.org/W2107184387","https://openalex.org/W2112133901","https://openalex.org/W2114516315","https://openalex.org/W2115439269","https://openalex.org/W2122410182","https://openalex.org/W2123049467","https://openalex.org/W2123446250","https://openalex.org/W2128554449","https://openalex.org/W2132232128","https://openalex.org/W2136507825","https://openalex.org/W2139395976","https://openalex.org/W2143668817","https://openalex.org/W2148809503","https://openalex.org/W2153677638","https://openalex.org/W2155703706","https://openalex.org/W2159997200","https://openalex.org/W2160039895","https://openalex.org/W2160166346","https://openalex.org/W2168793192","https://openalex.org/W2171881030","https://openalex.org/W2533506101","https://openalex.org/W4237279480","https://openalex.org/W4243104658","https://openalex.org/W4293690910","https://openalex.org/W6669996083","https://openalex.org/W6683390231","https://openalex.org/W6728717471"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2065055572","https://openalex.org/W2784269775","https://openalex.org/W2952904874"],"abstract_inverted_index":{"Semantic":[0],"models":[1],"are":[2,25,55],"widely":[3],"used":[4,28],"to":[5,104,140,145,165,172,189],"bridge":[6],"the":[7,35,76,80,87,106,113,124,142,147,179,192],"semantic":[8,32,73,169],"gap":[9],"between":[10,118],"low-level":[11],"features":[12,15],"and":[13,22,45,50,79,120,157,176],"high-level":[14],"in":[16,30,42],"video":[17],"concept":[18,23,52,81,125,143],"indexing.":[19],"Multimodal":[20],"fusion":[21,24,53,78,82,89,126],"two":[26],"commonly":[27],"approaches":[29],"building":[31],"models.":[33],"In":[34,65,86,123],"previous":[36],"work,":[37],"domain":[38,99],"adaptation":[39],"is":[40,135,155],"neglected":[41],"multimodal":[43,77,88],"fusion,":[44],"many":[46],"probability":[47],"maximization":[48],"based":[49],"unsupervised":[51,96,177,185],"methods":[54],"counterintuitive":[56],"since":[57],"they":[58],"do":[59],"not":[60],"incorporate":[61,159],"subjective":[62],"human":[63,84],"intuition.":[64],"this":[66],"paper,":[67],"we":[68,91],"present":[69],"a":[70,93,128],"new":[71,94,180],"two-stage":[72],"model":[74,134,141,181],"combining":[75],"incorporating":[83,112],"heuristics.":[85],"model,":[90,127],"employ":[92],"generic":[95],"method,":[97],"namely,":[98],"adaptive":[100],"linear":[101,107],"combination":[102,108],"(DALC),":[103],"update":[105,146],"(LC)":[109],"weights":[110],"by":[111,137,152],"differences":[114],"of":[115,149,162],"element":[116],"distributions":[117],"training":[119],"testing":[121],"domains.":[122],"novel":[129],"mechanical":[130],"node":[131],"equilibrium":[132],"(NE)":[133],"developed":[136],"using":[138],"forces":[139],"correlations":[144,163],"score":[148],"concepts":[150],"represented":[151],"nodes.":[153],"It":[154],"intuitive":[156],"can":[158,182],"multiple":[160],"kinds":[161],"simultaneously":[164],"construct":[166],"more":[167],"sophisticated":[168],"structure.":[170],"Compared":[171],"other":[173],"state-of-the-art":[174],"supervised":[175,187],"methods,":[178],"use":[183],"either":[184],"or":[186],"factors":[188],"significantly":[190],"improve":[191],"mean":[193],"inferred":[194],"average":[195],"precision":[196],"(MAP)":[197],"performance":[198],"on":[199],"all":[200],"datasets.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
