{"id":"https://openalex.org/W4401536828","doi":"https://doi.org/10.1109/tcsvt.2024.3418228","title":"Guest Editorial Introduction to the Special Issue on Label-Efficient Learning on Video Data","display_name":"Guest Editorial Introduction to the Special Issue on Label-Efficient Learning on Video Data","publication_year":2024,"publication_date":"2024-08-01","ids":{"openalex":"https://openalex.org/W4401536828","doi":"https://doi.org/10.1109/tcsvt.2024.3418228"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3418228","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tcsvt.2024.3418228","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"editorial","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/A5101433884","display_name":"Wenguan Wang","orcid":"https://orcid.org/0000-0002-0802-9567"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenguan Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091518967","display_name":"Tianfei Zhou","orcid":"https://orcid.org/0000-0001-5475-1473"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfei Zhou","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979289","display_name":"Dongfang Liu","orcid":"https://orcid.org/0000-0001-6995-4775"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongfang Liu","raw_affiliation_strings":["Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029572318","display_name":"Zheng Tang","orcid":"https://orcid.org/0000-0002-3744-2254"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Thomas Tang","raw_affiliation_strings":["Metropolis, NVIDIA, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Metropolis, NVIDIA, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051767562","display_name":"Alexander C. Loui","orcid":"https://orcid.org/0000-0002-7427-1503"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander C. Loui","raw_affiliation_strings":["Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11375816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"8","first_page":"6615","last_page":"6619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.6844000220298767,"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":0.6844000220298767,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.6222000122070312,"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/computer-science","display_name":"Computer science","score":0.7339692711830139},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4361031949520111},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3497682809829712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339692711830139},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4361031949520111},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3497682809829712}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3418228","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tcsvt.2024.3418228","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Currently,":[0],"the":[1,101],"success":[2],"of":[3,125],"image":[4,38,64],"processing":[5],"relies":[6],"heavily":[7],"on":[8,132],"large":[9],"well-annotated":[10],"datasets.":[11],"However,":[12],"collecting":[13],"and":[14,29,92,107,120,148,154],"labeling":[15],"video":[16,27,44,50,66,82,93,127],"data":[17,39,45,67],"are":[18,46],"significantly":[19],"more":[20],"labor-intensive,":[21],"posing":[22],"major":[23],"challenges":[24,98],"for":[25,37,43,60,75,87,115,135],"training":[26],"algorithms":[28],"limiting":[30],"their":[31,53],"practical":[32],"applications.":[33,128],"While":[34],"label-efficient":[35,61,111],"techniques":[36],"have":[40],"advanced,":[41],"solutions":[42,149],"still":[47],"emerging.":[48],"Unlabeled":[49],"data,":[51,65],"with":[52],"inherent":[54],"structured":[55],"nature,":[56],"offer":[57],"valuable":[58],"assets":[59],"learning.":[62,76],"Unlike":[63],"naturally":[68],"captures":[69],"realistic":[70],"transformations,":[71],"providing":[72],"rich":[73],"samples":[74],"Moreover,":[77],"from":[78],"a":[79,122],"border":[80],"perspective,":[81],"tasks":[83],"hold":[84],"great":[85],"potential":[86],"applications":[88],"like":[89],"autonomous":[90],"driving":[91],"surveillance":[94],"but":[95],"present":[96],"unique":[97],"due":[99],"to":[100,103,139,150],"need":[102],"understand":[104],"both":[105,152],"spatial":[106],"temporal":[108],"aspects.":[109],"Leveraging":[110],"learning":[112],"is":[113],"essential":[114],"comprehensively":[116],"understanding":[117],"visual":[118],"content":[119],"enabling":[121],"wide":[123],"range":[124],"real-world":[126],"This":[129],"Special":[130],"Issue":[131],"\u201cLabel-Efficient":[133],"Learning":[134],"Video":[136],"Data\u201d":[137],"seeks":[138],"advance":[140],"research":[141],"in":[142],"this":[143],"area,":[144],"offering":[145],"new":[146],"insights":[147],"benefit":[151],"researchers":[153],"practitioners.":[155]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
