{"id":"https://openalex.org/W1986384291","doi":"https://doi.org/10.1145/2598918.2598920","title":"Skin sheriff","display_name":"Skin sheriff","publication_year":2014,"publication_date":"2014-05-30","ids":{"openalex":"https://openalex.org/W1986384291","doi":"https://doi.org/10.1145/2598918.2598920","mag":"1986384291"},"language":"en","primary_location":{"id":"doi:10.1145/2598918.2598920","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2598918.2598920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd international workshop on Security and forensics in communication systems","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/A5028746106","display_name":"Christian Platzer","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Christian Platzer","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043031333","display_name":"Martin Stuetz","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Stuetz","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009694552","display_name":"Martina Lindorfer","orcid":"https://orcid.org/0000-0001-7001-4481"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martina Lindorfer","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":2.9666,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.92854203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9945999979972839,"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/T11448","display_name":"Face recognition and analysis","score":0.9944999814033508,"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":0.7868400812149048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7310578227043152},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6386821269989014},{"id":"https://openalex.org/keywords/upgrade","display_name":"Upgrade","score":0.614141583442688},{"id":"https://openalex.org/keywords/pornography","display_name":"Pornography","score":0.6089370250701904},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.5427163243293762},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5061582922935486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49395281076431274},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.4803539514541626},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.47221189737319946},{"id":"https://openalex.org/keywords/skin-color","display_name":"Skin color","score":0.43014806509017944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40189069509506226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39992013573646545},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.22070440649986267},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2091963291168213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868400812149048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7310578227043152},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6386821269989014},{"id":"https://openalex.org/C2780615140","wikidata":"https://www.wikidata.org/wiki/Q920419","display_name":"Upgrade","level":2,"score":0.614141583442688},{"id":"https://openalex.org/C2781301322","wikidata":"https://www.wikidata.org/wiki/Q291","display_name":"Pornography","level":2,"score":0.6089370250701904},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.5427163243293762},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5061582922935486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49395281076431274},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.4803539514541626},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.47221189737319946},{"id":"https://openalex.org/C3019497199","wikidata":"https://www.wikidata.org/wiki/Q853516","display_name":"Skin color","level":2,"score":0.43014806509017944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40189069509506226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39992013573646545},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.22070440649986267},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2091963291168213},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2598918.2598920","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2598918.2598920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd international workshop on Security and forensics in communication systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G1320126135","display_name":null,"funder_award_id":"257007","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W118549737","https://openalex.org/W595147118","https://openalex.org/W653382745","https://openalex.org/W1480498941","https://openalex.org/W1484777458","https://openalex.org/W1485490977","https://openalex.org/W1556531089","https://openalex.org/W1563720727","https://openalex.org/W1587328194","https://openalex.org/W1673002162","https://openalex.org/W1678510480","https://openalex.org/W1922017469","https://openalex.org/W1967098370","https://openalex.org/W1970763416","https://openalex.org/W2008138930","https://openalex.org/W2010373969","https://openalex.org/W2048763789","https://openalex.org/W2055936816","https://openalex.org/W2064657468","https://openalex.org/W2076737193","https://openalex.org/W2092144813","https://openalex.org/W2100358114","https://openalex.org/W2103164973","https://openalex.org/W2105038800","https://openalex.org/W2106075360","https://openalex.org/W2113264970","https://openalex.org/W2115751425","https://openalex.org/W2116058761","https://openalex.org/W2121664188","https://openalex.org/W2126178892","https://openalex.org/W2126841226","https://openalex.org/W2130102890","https://openalex.org/W2153037353","https://openalex.org/W2153746365","https://openalex.org/W2159306783","https://openalex.org/W2164115409","https://openalex.org/W2205730386","https://openalex.org/W2318088927","https://openalex.org/W2973435948","https://openalex.org/W3105642670","https://openalex.org/W3210232381","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4388064163","https://openalex.org/W4388121746","https://openalex.org/W2039991030","https://openalex.org/W1999296022","https://openalex.org/W4254577890","https://openalex.org/W2049574408","https://openalex.org/W3213019559","https://openalex.org/W1521439752","https://openalex.org/W3215105932","https://openalex.org/W4205142576"],"abstract_inverted_index":{"Digital":[0],"forensics":[1],"experts":[2],"are":[3,101],"increasingly":[4],"confronted":[5],"with":[6,42],"investigating":[7],"large":[8],"amounts":[9],"of":[10,76,86,96,122],"data":[11],"and":[12,59,74,84,124],"judging":[13],"if":[14],"it":[15],"contains":[16],"digital":[17],"contraband.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"present":[23],"an":[24,99],"adaptable":[25],"solution":[26],"for":[27,105],"detecting":[28],"nudity":[29,69],"or":[30,117],"pornography":[31],"in":[32,98],"color":[33],"images.":[34],"We":[35,51],"combine":[36],"a":[37,80,106,120],"novel":[38,62],"skin":[39,72,77,88,97],"detection":[40,66,73,135],"approach":[41,130],"machine":[43,57,109],"learning":[44,58],"techniques":[45],"to":[46,64],"alleviate":[47],"manual":[48],"image":[49,100,114],"screening.":[50],"upgrade":[52],"previous":[53],"approaches":[54],"by":[55],"leveraging":[56],"introducing":[60],"several":[61],"methods":[63],"enhance":[65],"rates.":[67],"Our":[68],"assessment":[70],"uses":[71],"positioning":[75],"areas":[78],"within":[79],"picture.":[81],"Sizes,":[82],"shapes":[83],"placements":[85],"detected":[87],"regions":[89],"as":[90,92,103,115],"well":[91],"the":[93,113,132],"total":[94],"amount":[95],"used":[102],"features":[104],"support":[107],"vector":[108],"that":[110],"finally":[111],"classifies":[112],"non-pornographic":[116],"pornographic.":[118],"With":[119],"recall":[121],"65.7%":[123],"6.4%":[125],"false":[126],"positive":[127],"rate,":[128],"our":[129],"outperforms":[131],"best":[133],"reported":[134],"approaches.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2016-06-24T00:00:00"}
