{"id":"https://openalex.org/W2171649337","doi":"https://doi.org/10.1145/1460096.1460142","title":"Solving the label resolution problem in supervised video content classification","display_name":"Solving the label resolution problem in supervised video content classification","publication_year":2008,"publication_date":"2008-10-30","ids":{"openalex":"https://openalex.org/W2171649337","doi":"https://doi.org/10.1145/1460096.1460142","mag":"2171649337"},"language":"en","primary_location":{"id":"doi:10.1145/1460096.1460142","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460096.1460142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international conference on Multimedia information retrieval","raw_type":"proceedings-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/A5017378605","display_name":"Ullas Gargi","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ullas Gargi","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072592605","display_name":"Jay Yagnik","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jay Yagnik","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017378605"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":2.1071,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89043868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"276","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"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":0.9997000098228455,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9936000108718872,"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/discriminative-model","display_name":"Discriminative model","score":0.8455170392990112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.768306314945221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7342155575752258},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6664272546768188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5400877594947815},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5171148777008057},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.464843213558197},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45116639137268066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.364524781703949}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8455170392990112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768306314945221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7342155575752258},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6664272546768188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5400877594947815},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5171148777008057},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.464843213558197},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45116639137268066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.364524781703949},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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:10.1145/1460096.1460142","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460096.1460142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international conference on Multimedia information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W187037124","https://openalex.org/W1988091915","https://openalex.org/W2004818319","https://openalex.org/W2062903088","https://openalex.org/W2068576236","https://openalex.org/W2105038800","https://openalex.org/W2111220184","https://openalex.org/W2112076978","https://openalex.org/W2148613815","https://openalex.org/W2611532106","https://openalex.org/W6607624625"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W4311804456","https://openalex.org/W3103844505","https://openalex.org/W1987484445","https://openalex.org/W2047139419","https://openalex.org/W1487808658"],"abstract_inverted_index":{"Classifying":[0],"video":[1,21,30,52],"based":[2],"on":[3],"its":[4],"content":[5,119],"often":[6],"requires":[7],"learning":[8,99],"a":[9,20,32,47,83,90,124],"classifier":[10],"from":[11],"labeled":[12],"samples.":[13],"Sometimes":[14],"the":[15,24,29,35,51,79,115],"semantic":[16],"labels":[17],"available":[18],"for":[19],"refer":[22],"to":[23,58,64,85,112],"class":[25],"or":[26],"category":[27],"of":[28,50,76,93,117],"as":[31],"whole;":[33],"whereas":[34],"discriminative":[36,67],"features":[37,68],"that":[38,41],"result":[39],"in":[40,120],"categorization":[42],"may":[43,54],"only":[44],"occur":[45,55],"over":[46,104],"temporal":[48,71],"subset":[49],"and":[53,69],"anywhere,":[56],"leading":[57],"sub-optimal":[59],"performance.":[60],"We":[61,81,108],"therefore":[62],"need":[63],"simultaneously":[65],"learn":[66],"their":[70],"support":[72],"while":[73],"remaining":[74],"independent":[75],"position":[77],"within":[78],"video.":[80],"propose":[82],"solution":[84],"this":[86,110],"label-resolution":[87],"problem":[88],"using":[89],"wavelet":[91],"decomposition":[92],"frame-level":[94],"feature":[95],"time-series":[96],"followed":[97],"by":[98],"discrimin":[100],"ative":[101],"extrema":[102],"values":[103],"multiple":[105],"time":[106],"scales.":[107],"apply":[109],"approach":[111],"automatically":[113],"detecting":[114],"presence":[116],"adult":[118],"online":[121],"videos":[122],"with":[123],"resulting":[125],"equal-error":[126],"rate":[127],"around":[128],"5%.":[129]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}