{"id":"https://openalex.org/W4317516010","doi":"https://doi.org/10.1109/ccis57298.2022.10016382","title":"Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion","display_name":"Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4317516010","doi":"https://doi.org/10.1109/ccis57298.2022.10016382"},"language":"en","primary_location":{"id":"doi:10.1109/ccis57298.2022.10016382","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016382","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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/A5101841299","display_name":"Xiangbin Liu","orcid":"https://orcid.org/0000-0003-0035-8507"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbin Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663187","display_name":"Junping Du","orcid":"https://orcid.org/0000-0001-8590-3767"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Du","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056818951","display_name":"Meiyu Liang","orcid":"https://orcid.org/0000-0003-1835-1848"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyu Liang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413602","display_name":"Ang Li","orcid":"https://orcid.org/0000-0002-2316-4118"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20387036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9991000294685364,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9991000294685364,"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":0.9987999796867371,"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":0.9955999851226807,"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":0.8125919699668884},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7080487608909607},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6545728445053101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6425630450248718},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6304740905761719},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6201730966567993},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5213621854782104},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5173056125640869},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4841764271259308},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.464966356754303},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4633828401565552},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.46271583437919617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44090789556503296},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43726491928100586},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.43621134757995605},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43179851770401},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4161449372768402},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34388765692710876},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08198326826095581}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125919699668884},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7080487608909607},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6545728445053101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6425630450248718},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6304740905761719},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6201730966567993},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5213621854782104},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5173056125640869},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4841764271259308},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.464966356754303},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4633828401565552},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.46271583437919617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44090789556503296},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43726491928100586},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.43621134757995605},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43179851770401},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4161449372768402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34388765692710876},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08198326826095581},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis57298.2022.10016382","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016382","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1968040634","https://openalex.org/W1975155469","https://openalex.org/W2034363849","https://openalex.org/W2052208858","https://openalex.org/W2099673397","https://openalex.org/W2139591663","https://openalex.org/W2476034201","https://openalex.org/W2524977795","https://openalex.org/W2551996492","https://openalex.org/W2584535601","https://openalex.org/W2592951504","https://openalex.org/W2606965845","https://openalex.org/W2772548676","https://openalex.org/W2795832645","https://openalex.org/W2883001868","https://openalex.org/W2907508577","https://openalex.org/W2995162209","https://openalex.org/W3024353776","https://openalex.org/W3047238104","https://openalex.org/W3081788389","https://openalex.org/W3157577978","https://openalex.org/W3161937853","https://openalex.org/W4205257794","https://openalex.org/W4221161477","https://openalex.org/W4225729075","https://openalex.org/W4282928349","https://openalex.org/W6721087566","https://openalex.org/W6781019448","https://openalex.org/W6809863751"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Technology":[0],"videos":[1],"contain":[2],"rich":[3],"multi-modal":[4],"information.":[5],"In":[6],"cross-modal":[7],"information":[8],"search,":[9],"the":[10,21,38,65,103,107,115,119,128,137],"data":[11,104,117],"features":[12,121],"of":[13,67,140],"different":[14,25],"modalities":[15,26],"cannot":[16],"be":[17,34],"compared":[18],"directly,":[19],"so":[20,101],"semantic":[22],"gap":[23],"between":[24],"is":[27,111],"a":[28,44,72,79,85],"key":[29],"problem":[30],"that":[31,102,127],"needs":[32],"to":[33,54,70],"solved.":[35],"To":[36],"address":[37],"above":[39],"problems,":[40],"this":[41],"paper":[42],"proposes":[43],"novel":[45],"Feature":[46],"Fusion":[47],"based":[48,97],"Adversarial":[49],"Cross-modal":[50],"Retrieval":[51],"method":[52,63,130],"(FFACR)":[53],"achieve":[55],"text-to-video":[56,134],"matching,":[57],"ranking":[58],"and":[59,78,92,118],"searching.":[60],"The":[61],"proposed":[62,129],"uses":[64],"framework":[66],"adversarial":[68,99],"learning":[69],"construct":[71],"video":[73],"multimodal":[74],"feature":[75,80,108],"fusion":[76],"network":[77,82,88,110],"mapping":[81,109],"as":[83,89],"generator,":[84],"modality":[86],"discrimination":[87],"discriminator.":[90],"Generator":[91],"discriminator":[93],"are":[94,122],"trained":[95],"alternately":[96],"on":[98,136],"learning,":[100],"obtained":[105],"by":[106],"semantically":[112],"consistent":[113],"with":[114],"original":[116],"modal":[120],"eliminated.":[123],"Experimental":[124],"results":[125],"demonstrate":[126],"performs":[131],"better":[132],"in":[133],"search":[135],"self-built":[138],"datasets":[139],"technology":[141],"videos.":[142]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}