{"id":"https://openalex.org/W2112448016","doi":"https://doi.org/10.1145/2072298.2071959","title":"Detection of pornographic content in internet images","display_name":"Detection of pornographic content in internet images","publication_year":2011,"publication_date":"2011-11-28","ids":{"openalex":"https://openalex.org/W2112448016","doi":"https://doi.org/10.1145/2072298.2071959","mag":"2112448016"},"language":"en","primary_location":{"id":"doi:10.1145/2072298.2071959","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","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/A5038858575","display_name":"Srinivasan H. Sengamedu","orcid":"https://orcid.org/0000-0003-1847-8398"},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Srinivasan H. Sengamedu","raw_affiliation_strings":["Yahoo! Labs, Bangalore, India","[Yahoo! Labs, Bangalore, India]"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Bangalore, India","institution_ids":[]},{"raw_affiliation_string":"[Yahoo! Labs, Bangalore, India]","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088351438","display_name":"Subhajit Sanyal","orcid":"https://orcid.org/0009-0008-8787-6297"},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Subhajit Sanyal","raw_affiliation_strings":["Yahoo! Labs, Bangalore, India","[Yahoo! Labs, Bangalore, India]"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Bangalore, India","institution_ids":[]},{"raw_affiliation_string":"[Yahoo! Labs, Bangalore, India]","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103543205","display_name":"Sriram Satish","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sriram Satish","raw_affiliation_strings":["Yahoo! SDC, Bangalore, India","Yahoo! SDC, Bangalore, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Yahoo! SDC, Bangalore, India","institution_ids":[]},{"raw_affiliation_string":"Yahoo! SDC, Bangalore, India#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038858575"],"corresponding_institution_ids":["https://openalex.org/I1325784139"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69891929,"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":"1141","last_page":"1144"},"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":0.9983999729156494,"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":0.9983999729156494,"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":0.9970999956130981,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962999820709229,"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":0.8242309093475342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6706154346466064},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5696920156478882},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5651004314422607},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5317234992980957},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4742400050163269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47033318877220154},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4618232846260071},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4414016306400299},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43942949175834656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8242309093475342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706154346466064},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5696920156478882},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5651004314422607},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5317234992980957},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4742400050163269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47033318877220154},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4618232846260071},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4414016306400299},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43942949175834656},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2072298.2071959","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W187037124","https://openalex.org/W1587328194","https://openalex.org/W2024046085","https://openalex.org/W2095503497","https://openalex.org/W2125148312"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2963610131","https://openalex.org/W4382050342"],"abstract_inverted_index":{"Pornographic":[0],"image":[1,39,87],"detection":[2,142,153],"is":[3,15],"an":[4],"important":[5],"and":[6,26,46,83,106,134,151,170],"challenging":[7,18],"problem.":[8],"Detection":[9],"of":[10,20,24,38,53,86,120],"pornography":[11],"on":[12,81,173],"the":[13,21,59,180,183,187],"Internet":[14],"even":[16],"more":[17],"because":[19],"scale":[22,35],"(billions":[23],"images)":[25],"diversity":[27],"(small":[28],"to":[29,113,129],"very":[30,50],"large":[31],"images,":[32,36],"graphic,":[33],"grey":[34],"etc.)":[37],"content.":[40,74,88],"The":[41,75,158],"performance":[42,185],"requirements":[43],"(precision,":[44],"recall,":[45],"speed)":[47],"are":[48,109,137,161],"also":[49,117],"stringent.":[51],"Because":[52],"this,":[54],"no":[55],"single":[56],"technique":[57],"provides":[58],"required":[60],"performance.":[61],"In":[62,127],"this":[63],"paper,":[64],"we":[65,92,116,144],"describe":[66],"a":[67,164],"framework":[68,76],"for":[69,154],"detecting":[70],"images":[71],"with":[72],"pornographic":[73],"combines":[77],"various":[78],"techniques":[79,103,147],"based":[80],"object-level":[82],"pixel-level":[84],"analysis":[85,136,150,169],"To":[89],"enable":[90],"high-precision,":[91],"detect":[93],"body":[94],"parts":[95],"(including":[96],"faces)":[97],"in":[98,163],"images.":[99],"For":[100,111],"high-recall,":[101],"low-level":[102],"like":[104,148],"color":[105,122],"texture":[107,149],"features":[108],"used.":[110],"adaptation":[112],"new":[114],"datasets,":[115],"support":[118],"learning":[119],"appropriate":[121],"models":[123],"from":[124],"weakly-labeled":[125],"datasets.":[126],"addition":[128],"image-based":[130],"analysis,":[131],"both":[132],"text-based":[133],"site-level":[135],"performed.":[138],"Unlike":[139],"many":[140],"adult":[141],"techniques,":[143],"explicitly":[145],"leverage":[146],"face":[152],"non-adult":[155],"content":[156],"identification.":[157],"multiple":[159],"cues":[160],"combined":[162],"systematic":[165],"manner":[166],"using":[167],"ROC":[168],"boosting.":[171],"Evaluations":[172],"real":[174],"world":[175],"web":[176],"data":[177],"indicate":[178],"that":[179],"system":[181],"has":[182],"best":[184],"among":[186],"systems":[188],"compared.":[189]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}