{"id":"https://openalex.org/W2012445436","doi":"https://doi.org/10.1145/2124295.2124301","title":"Efficient misbehaving user detection in online video chat services","display_name":"Efficient misbehaving user detection in online video chat services","publication_year":2012,"publication_date":"2012-02-08","ids":{"openalex":"https://openalex.org/W2012445436","doi":"https://doi.org/10.1145/2124295.2124301","mag":"2012445436"},"language":"en","primary_location":{"id":"doi:10.1145/2124295.2124301","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2124295.2124301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM international conference on Web search and data mining","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/A5083584106","display_name":"Hanqiang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hanqiang Cheng","raw_affiliation_strings":["McGill University, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018258748","display_name":"Yuli Liang","orcid":"https://orcid.org/0000-0002-5697-2234"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Li Liang","raw_affiliation_strings":["University of Colorado at Boulder, Boulder, CO, USA","University of Colorado at Boulder, Boulder, CO, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Colorado at Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"University of Colorado at Boulder, Boulder, CO, USA#TAB#","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041094652","display_name":"Xinyu Xing","orcid":"https://orcid.org/0000-0001-6733-226X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyu Xing","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372199","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0002-4196-3597"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["McGill University, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085205626","display_name":"Richard Han","orcid":"https://orcid.org/0000-0002-2161-8622"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Han","raw_affiliation_strings":["University of Colorado at Boulder, Boulder, CO, USA","University of Colorado at Boulder, Boulder, CO, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Colorado at Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"University of Colorado at Boulder, Boulder, CO, USA#TAB#","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089831843","display_name":"Qin Lv","orcid":"https://orcid.org/0000-0002-9437-1376"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qin Lv","raw_affiliation_strings":["University of Colorado at Boulder, Boulder, CO, USA","University of Colorado at Boulder, Boulder, CO, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Colorado at Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"University of Colorado at Boulder, Boulder, CO, USA#TAB#","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112395873","display_name":"Shivakant Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shivakant Mishra","raw_affiliation_strings":["University of Colorado at Boul, Boulder, CO, USA","University of Colorado at Boul, Boulder, CO, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Colorado at Boul, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"University of Colorado at Boul, Boulder, CO, USA#TAB#","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083584106"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":2.2205,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88993049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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":0.9824000000953674,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.978600025177002,"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":0.863254964351654},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7279940843582153},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6668983697891235},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5385713577270508},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5194027423858643},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5077820420265198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49504104256629944},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.476820170879364},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4529203772544861},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42652034759521484},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41940921545028687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3549853563308716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3450826406478882},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34358087182044983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34243065118789673},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.24027183651924133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08085429668426514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.863254964351654},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7279940843582153},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6668983697891235},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5385713577270508},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5194027423858643},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5077820420265198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49504104256629944},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.476820170879364},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4529203772544861},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42652034759521484},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41940921545028687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3549853563308716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3450826406478882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34358087182044983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34243065118789673},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.24027183651924133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08085429668426514},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2124295.2124301","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2124295.2124301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM international conference on Web search and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.298.7693","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.7693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.colorado.edu/~rhan/Papers/p23-cheng.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W191494004","https://openalex.org/W1587328194","https://openalex.org/W1625255723","https://openalex.org/W1875817757","https://openalex.org/W2014915963","https://openalex.org/W2017028970","https://openalex.org/W2020733616","https://openalex.org/W2039051707","https://openalex.org/W2063965450","https://openalex.org/W2066941820","https://openalex.org/W2078088780","https://openalex.org/W2090945945","https://openalex.org/W2095503497","https://openalex.org/W2104472920","https://openalex.org/W2107034620","https://openalex.org/W2114839088","https://openalex.org/W2124372976","https://openalex.org/W2124386111","https://openalex.org/W2127744755","https://openalex.org/W2128260023","https://openalex.org/W2130287785","https://openalex.org/W2135176316","https://openalex.org/W2141362318","https://openalex.org/W2146850291","https://openalex.org/W2153746365","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2538008885","https://openalex.org/W6636494156"],"related_works":["https://openalex.org/W2398165842","https://openalex.org/W197922276","https://openalex.org/W4226158052","https://openalex.org/W1809731386","https://openalex.org/W4388863299","https://openalex.org/W2160332782","https://openalex.org/W2945818642","https://openalex.org/W2146181690","https://openalex.org/W2379140333","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Online":[0],"video":[1],"chat":[2],"services,":[3],"such":[4,25],"as":[5],"Chatroulette,":[6],"Omegle,":[7],"and":[8,14,34,82,114,120],"vChatter":[9],"are":[10],"becoming":[11],"increasingly":[12],"popular":[13],"have":[15],"attracted":[16],"millions":[17],"of":[18,30,70,96],"users.":[19],"One":[20],"critical":[21],"problem":[22],"encountered":[23],"in":[24,45,88,99],"applications":[26],"is":[27,104],"the":[28,67,117,142],"presence":[29],"misbehaving":[31,72],"users":[32,73],"(\"flashers\")":[33],"obscene":[35,40],"content.":[36],"Automatically":[37],"filtering":[38,83],"out":[39,84],"content":[41],"from":[42,138],"these":[43],"systems":[44],"an":[46],"efficient":[47],"manner":[48],"poses":[49],"a":[50,56,121],"difficult":[51],"challenge.":[52],"This":[53],"paper":[54],"presents":[55],"novel":[57],"Fine-Grained":[58],"Cascaded":[59],"(FGC)":[60],"classification":[61,118,146],"solution":[62,147],"that":[63,141],"significantly":[64,148],"speeds":[65],"up":[66],"compute-intensive":[68],"process":[69],"classifying":[71],"by":[74,107],"dividing":[75],"image":[76],"feature":[77,97],"extraction":[78,98],"into":[79,116],"multiple":[80,129],"stages":[81],"easily":[85],"classified":[86],"images":[87],"earlier":[89],"stages,":[90],"thus":[91],"saving":[92],"unnecessary":[93],"computation":[94],"costs":[95],"later":[100],"stages.":[101],"Our":[102],"work":[103],"further":[105],"enhanced":[106],"integrating":[108],"new":[109],"webcam-related":[110],"contextual":[111],"information":[112],"(illumination":[113],"color)":[115],"process,":[119],"2-stage":[122],"soft":[123],"margin":[124],"SVM":[125],"algorithm":[126],"for":[127],"combining":[128],"features.":[130],"Evaluation":[131],"results":[132],"using":[133],"real-world":[134],"data":[135],"set":[136],"obtained":[137],"Chatroulette":[139],"show":[140],"proposed":[143],"FGC":[144],"based":[145],"outperforms":[149],"state-of-the-art":[150],"techniques.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}