{"id":"https://openalex.org/W4399554947","doi":"https://doi.org/10.48550/arxiv.2406.05615","title":"Video-Language Understanding: A Survey from Model Architecture, Model\n Training, and Data Perspectives","display_name":"Video-Language Understanding: A Survey from Model Architecture, Model\n Training, and Data Perspectives","publication_year":2024,"publication_date":"2024-06-08","ids":{"openalex":"https://openalex.org/W4399554947","doi":"https://doi.org/10.48550/arxiv.2406.05615"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.05615","pdf_url":"https://arxiv.org/pdf/2406.05615","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.05615","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103273786","display_name":"Th\u00f4ng Nguyen","orcid":"https://orcid.org/0000-0001-7447-7416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Thong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084911441","display_name":"Bin Yi","orcid":"https://orcid.org/0000-0001-5840-2086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin, Yi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024669782","display_name":"Junbin Xiao","orcid":"https://orcid.org/0000-0001-5573-6195"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Junbin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010816782","display_name":"Leigang Qu","orcid":"https://orcid.org/0009-0004-6555-3834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qu, Leigang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053257302","display_name":"Yicong Li","orcid":"https://orcid.org/0000-0001-7905-4885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yicong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083056790","display_name":"Jay Zhangjie Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jay Zhangjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025645183","display_name":"Cong-Duy Nguyen","orcid":"https://orcid.org/0000-0002-0931-460X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Cong-Duy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090171111","display_name":"See-Kiong Ng","orcid":"https://orcid.org/0000-0001-6565-7511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ng, See-Kiong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001659855","display_name":"Luu Anh Tuan","orcid":"https://orcid.org/0000-0001-6062-207X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tuan, Luu Anh","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9504,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9504,"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":[],"concepts":[{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6494796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460793},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.53667504},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38235158},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34242293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3322156},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.135297},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.07751164},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.068217814},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.05615","pdf_url":"https://arxiv.org/pdf/2406.05615","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.05615","pdf_url":"https://arxiv.org/pdf/2406.05615","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4366179611","https://openalex.org/W3216976533","https://openalex.org/W3204019825","https://openalex.org/W2997094352","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2495260952","https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W100620283"],"abstract_inverted_index":{"Humans":[0],"use":[1],"multiple":[2],"senses":[3,17,47],"to":[4,22],"comprehend":[5],"the":[6,14,29,69,77,82,102],"environment.":[7],"Vision":[8],"and":[9,27,58,75,93,104],"language":[10],"are":[11],"two":[12],"of":[13,38,72],"most":[15],"vital":[16],"since":[18,48],"they":[19],"allow":[20],"us":[21],"easily":[23],"communicate":[24],"our":[25,55],"thoughts":[26],"perceive":[28],"world":[30],"around":[31],"us.":[32],"There":[33],"has":[34],"been":[35],"a":[36,49],"lot":[37],"interest":[39],"in":[40],"creating":[41],"video-language":[42,50],"understanding":[43],"systems":[44,74],"with":[45,61],"human-like":[46],"pair":[51],"can":[52],"mimic":[53],"both":[54],"linguistic":[56],"medium":[57],"visual":[59],"environment":[60],"temporal":[62],"dynamics.":[63],"In":[64],"this":[65],"survey,":[66],"we":[67,84],"review":[68],"key":[70],"tasks":[71],"these":[73],"highlight":[76],"associated":[78],"challenges.":[79],"Based":[80],"on":[81],"challenges,":[83],"summarize":[85],"their":[86],"methods":[87],"from":[88],"model":[89,91],"architecture,":[90],"training,":[92],"data":[94],"perspectives.":[95],"We":[96],"also":[97],"conduct":[98],"performance":[99],"comparison":[100],"among":[101],"methods,":[103],"discuss":[105],"promising":[106],"directions":[107],"for":[108],"future":[109],"research.":[110]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4399554947","counts_by_year":[],"updated_date":"2024-12-06T23:43:53.789528","created_date":"2024-06-12"}