{"id":"https://openalex.org/W2065717806","doi":"https://doi.org/10.1109/tmm.2012.2187180","title":"Web-Based Classifiers for Human Action Recognition","display_name":"Web-Based Classifiers for Human Action Recognition","publication_year":2012,"publication_date":"2012-02-07","ids":{"openalex":"https://openalex.org/W2065717806","doi":"https://doi.org/10.1109/tmm.2012.2187180","mag":"2065717806"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2012.2187180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2012.2187180","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/A5090096127","display_name":"Nazl\u0131 \u0130kizler-Cinbi\u015f","orcid":"https://orcid.org/0000-0002-8644-2875"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nazli Ikizler-Cinbis","raw_affiliation_strings":["Department of Computer Engineering, Hacettepe University, Ankara, Turkey","[Department of Computer Engineering, Hacettepe University, Ankara, Turkey]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]},{"raw_affiliation_string":"[Department of Computer Engineering, Hacettepe University, Ankara, Turkey]","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042663603","display_name":"Stan Sclaroff","orcid":"https://orcid.org/0000-0002-0711-4313"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stan Sclaroff","raw_affiliation_strings":["Computer Science Department, Boston University, Boston, MA, USA","Comput. Sci. Dept., Boston Univ., Boston, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Comput. Sci. Dept., Boston Univ., Boston, MA, USA#TAB#","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0854,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94723491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"1031","last_page":"1045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":0.9955000281333923,"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":0.9951000213623047,"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":0.8913577795028687},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6878401041030884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6645672917366028},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5742208361625671},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5592028498649597},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5217607617378235},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.47855526208877563},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4520535171031952},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4259563684463501},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4104340970516205},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40673840045928955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35770994424819946},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16882726550102234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8913577795028687},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6878401041030884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6645672917366028},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5742208361625671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5592028498649597},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5217607617378235},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.47855526208877563},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4520535171031952},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4259563684463501},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4104340970516205},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40673840045928955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35770994424819946},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16882726550102234},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2012.2187180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2012.2187180","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1489737693","https://openalex.org/W1510601258","https://openalex.org/W1529681343","https://openalex.org/W1573508639","https://openalex.org/W1590105591","https://openalex.org/W1593040460","https://openalex.org/W1977814411","https://openalex.org/W1987496434","https://openalex.org/W2001058334","https://openalex.org/W2010399676","https://openalex.org/W2012964815","https://openalex.org/W2020733616","https://openalex.org/W2034328688","https://openalex.org/W2050964073","https://openalex.org/W2067191022","https://openalex.org/W2068576236","https://openalex.org/W2080289064","https://openalex.org/W2096691069","https://openalex.org/W2097872774","https://openalex.org/W2098339052","https://openalex.org/W2099501835","https://openalex.org/W2099806072","https://openalex.org/W2100916003","https://openalex.org/W2103822353","https://openalex.org/W2103823491","https://openalex.org/W2106996050","https://openalex.org/W2111411921","https://openalex.org/W2112565353","https://openalex.org/W2114921175","https://openalex.org/W2119823327","https://openalex.org/W2120419212","https://openalex.org/W2120601899","https://openalex.org/W2123053055","https://openalex.org/W2130103520","https://openalex.org/W2132670931","https://openalex.org/W2134930802","https://openalex.org/W2135029798","https://openalex.org/W2135735112","https://openalex.org/W2136853139","https://openalex.org/W2137981002","https://openalex.org/W2139690636","https://openalex.org/W2142194269","https://openalex.org/W2145607950","https://openalex.org/W2146776177","https://openalex.org/W2147012797","https://openalex.org/W2148675068","https://openalex.org/W2148948295","https://openalex.org/W2155613263","https://openalex.org/W2161258050","https://openalex.org/W2161969291","https://openalex.org/W2163973188","https://openalex.org/W2172191903","https://openalex.org/W2295215050","https://openalex.org/W2535977253","https://openalex.org/W2543453567","https://openalex.org/W3143596294","https://openalex.org/W4249279051","https://openalex.org/W6630493829","https://openalex.org/W6631539407","https://openalex.org/W6635689683","https://openalex.org/W6677213256","https://openalex.org/W6679388247","https://openalex.org/W6680012447","https://openalex.org/W6680291759","https://openalex.org/W6682450948","https://openalex.org/W6682903845","https://openalex.org/W6729029445"],"related_works":["https://openalex.org/W2065457896","https://openalex.org/W3173234801","https://openalex.org/W2167984027","https://openalex.org/W3021302227","https://openalex.org/W10630519","https://openalex.org/W1919377569","https://openalex.org/W3144288563","https://openalex.org/W2787993192","https://openalex.org/W3213878615","https://openalex.org/W2551337514"],"abstract_inverted_index":{"Action":[0],"recognition":[1,219,265],"in":[2,67,99,147,164,180,201],"uncontrolled":[3],"videos":[4,22,166],"is":[5,11,46,97,167],"a":[6,38,135],"challenging":[7],"task,":[8],"where":[9],"it":[10,103],"relatively":[12],"hard":[13],"to":[14,23,47,54,63,80,113,188],"find":[15],"the":[16,26,29,52,85,91,100,110,160,165,173,196,209,217,227,230,235,251,256,260,263],"large":[17,136],"amount":[18],"of":[19,28,57,127,139,199,212,232,262],"required":[20],"training":[21,87],"model":[24],"all":[25],"variations":[27],"domain.":[30],"This":[31],"paper":[32],"addresses":[33],"this":[34,61,70],"challenge":[35],"and":[36,59,82,130,205],"proposes":[37],"generic":[39,137],"method":[40],"for":[41,89,194],"action":[42,128,140,156,203,218,264],"recognition.":[43],"The":[44],"idea":[45],"use":[48,74,189],"images":[49,157],"collected":[50,158],"from":[51,159,255],"Web":[53,257],"learn":[55],"representations":[56],"actions":[58,66,163],"leverage":[60],"knowledge":[62],"automatically":[64],"annotate":[65],"videos.":[68,149,185],"For":[69],"purpose,":[71],"we":[72,123,132,170],"first":[73],"an":[75,114],"incremental":[76],"image":[77],"retrieval":[78,126],"procedure":[79],"collect":[81,134],"clean":[83],"up":[84],"necessary":[86],"set":[88],"building":[90],"human":[92,106],"pose":[93,175,191,213,252],"classifiers.":[94],"Our":[95,241],"approach":[96],"unsupervised":[98],"sense":[101],"that":[102,154,207,224],"requires":[104],"no":[105],"intervention":[107],"other":[108],"than":[109],"text":[111],"querying":[112],"internet":[115],"search":[116],"engine.":[117],"Its":[118],"benefits":[119],"are":[120],"two-fold:":[121],"1)":[122],"can":[124,133,143,177,215,238,258],"improve":[125,259],"images,":[129],"2)":[131],"database":[138],"poses,":[141],"which":[142],"then":[144],"be":[145,178,239],"used":[146],"tagging":[148],"We":[150,186,221],"present":[151],"experimental":[152],"evidence":[153],"using":[155],"Web,":[161],"annotating":[162],"possible.":[168],"Additionally,":[169],"explore":[171],"how":[172],"Web-based":[174,233],"classifiers":[176],"utilized":[179],"conjunction":[181],"with":[182,229,245],"limited":[183],"labelled":[184],"propose":[187],"\u201cordered":[190],"pairs\u201d":[192],"(OPP)":[193],"encoding":[195],"temporal":[197,210],"ordering":[198,211],"poses":[200],"our":[202],"model,":[204],"show":[206,223],"considering":[208],"pairs":[214],"increase":[216],"accuracy.":[220],"also":[222],"by":[225],"selecting":[226],"keyposes":[228],"help":[231],"classifiers,":[234],"classification":[236],"time":[237],"reduced.":[240],"experiments":[242],"demonstrate":[243],"that,":[244],"or":[246],"without":[247],"available":[248],"video":[249],"data,":[250],"models":[253],"learned":[254],"performance":[261],"systems.":[266]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}