{"id":"https://openalex.org/W2767064221","doi":"https://doi.org/10.1145/3126686.3126690","title":"Real-Time Image-based Smoke Detection in Endoscopic Videos","display_name":"Real-Time Image-based Smoke Detection in Endoscopic Videos","publication_year":2017,"publication_date":"2017-10-23","ids":{"openalex":"https://openalex.org/W2767064221","doi":"https://doi.org/10.1145/3126686.3126690","mag":"2767064221"},"language":"en","primary_location":{"id":"doi:10.1145/3126686.3126690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126686.3126690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Thematic Workshops of ACM Multimedia 2017","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/A5007412344","display_name":"Andreas Leibetseder","orcid":"https://orcid.org/0000-0002-9535-966X"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Andreas Leibetseder","raw_affiliation_strings":["Alpen-Adria-Universit\u00e4t Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Alpen-Adria-Universit\u00e4t Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105529734","display_name":"Manfred J\u00fcrgen Primus","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Manfred J\u00fcrgen Primus","raw_affiliation_strings":["Alpen-Adria-Universit\u00e4t Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Alpen-Adria-Universit\u00e4t Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018122454","display_name":"Stefan Petscharnig","orcid":"https://orcid.org/0000-0003-2791-7110"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Petscharnig","raw_affiliation_strings":["Alpen-Adria-Universit\u00e4t Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Alpen-Adria-Universit\u00e4t Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020123717","display_name":"Klaus Schoeffmann","orcid":"https://orcid.org/0000-0002-9218-1704"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Klaus Schoeffmann","raw_affiliation_strings":["Alpen-Adria-Universit\u00e4t Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Alpen-Adria-Universit\u00e4t Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007412344"],"corresponding_institution_ids":["https://openalex.org/I4210166741"],"apc_list":null,"apc_paid":null,"fwci":4.418,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93769759,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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":0.9955999851226807,"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":0.7145416736602783},{"id":"https://openalex.org/keywords/smoke","display_name":"Smoke","score":0.6941840648651123},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6391571164131165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5499177575111389},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5274363160133362},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5230221152305603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36242008209228516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2808873653411865},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10503610968589783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145416736602783},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.6941840648651123},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6391571164131165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5499177575111389},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5274363160133362},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5230221152305603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36242008209228516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2808873653411865},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10503610968589783},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3126686.3126690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126686.3126690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Thematic Workshops of ACM Multimedia 2017","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323947","display_name":"K\u00e4rntner Wirtschaftsf\u00f6rderungsfonds","ror":"https://ror.org/050f4mc80"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W143162329","https://openalex.org/W568396791","https://openalex.org/W1483675052","https://openalex.org/W1662406806","https://openalex.org/W1927405866","https://openalex.org/W1966089753","https://openalex.org/W1986531329","https://openalex.org/W1991006850","https://openalex.org/W1993327187","https://openalex.org/W2013300501","https://openalex.org/W2035873880","https://openalex.org/W2039983430","https://openalex.org/W2064491375","https://openalex.org/W2070273288","https://openalex.org/W2073371483","https://openalex.org/W2077812202","https://openalex.org/W2084391620","https://openalex.org/W2084589820","https://openalex.org/W2086327306","https://openalex.org/W2097117768","https://openalex.org/W2105490013","https://openalex.org/W2109191961","https://openalex.org/W2111558403","https://openalex.org/W2113609004","https://openalex.org/W2114224287","https://openalex.org/W2124065075","https://openalex.org/W2133514006","https://openalex.org/W2140798169","https://openalex.org/W2148904006","https://openalex.org/W2149013610","https://openalex.org/W2155893237","https://openalex.org/W2266464013","https://openalex.org/W2274245237","https://openalex.org/W2304596533","https://openalex.org/W2518129338","https://openalex.org/W2564339651","https://openalex.org/W2571807506","https://openalex.org/W2606308270","https://openalex.org/W2618530766","https://openalex.org/W2752805763","https://openalex.org/W3147759901"],"related_works":["https://openalex.org/W2328698228","https://openalex.org/W4288693901","https://openalex.org/W830499452","https://openalex.org/W2353278981","https://openalex.org/W2382876515","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,52],"nature":[1],"of":[2,7,44,58,87,189,202,215,239],"endoscopy":[3],"as":[4,36,48,72,74,90,128,169,171],"a":[5,21,26,65,91,125,131,143,173,203,229],"type":[6],"minimally":[8],"invasive":[9],"surgery":[10],"(MIS)":[11],"requires":[12],"surgeons":[13],"to":[14,122,146,198],"perform":[15],"complex":[16],"operations":[17],"by":[18,99],"merely":[19,199],"inspecting":[20],"live":[22],"camera":[23,38],"feed.":[24],"Inherently,":[25],"successful":[27],"intervention":[28],"depends":[29],"upon":[30],"ensuring":[31],"proper":[32],"working":[33],"conditions,":[34],"such":[35,47,124],"skillful":[37],"handling,":[39],"adequate":[40],"lighting":[41],"and":[42,61,156,167,221,242],"removal":[43],"confounding":[45],"factors,":[46],"fluids":[49],"or":[50],"smoke.":[51],"latter":[53],"is":[54,97,187],"an":[55],"undesirable":[56],"byproduct":[57],"cauterizing":[59],"tissue":[60],"not":[62],"only":[63],"constitutes":[64],"health":[66],"hazard":[67],"for":[68,134,165,218,224,232],"the":[69,75,83,94,183,225],"medical":[70],"staff":[71],"well":[73,129,170],"treated":[76],"patients,":[77],"it":[78],"can":[79,119],"also":[80],"considerably":[81],"obstruct":[82],"operating":[84],"physician's":[85],"field":[86],"view.":[88],"Therefore,":[89],"standard":[92],"procedure":[93],"gaseous":[95],"matter":[96],"evacuated":[98],"using":[100],"specialized":[101],"smoke":[102,117],"suction":[103],"systems":[104],"that":[105,115],"typically":[106],"are":[107],"activated":[108],"manually":[109],"whenever":[110],"considered":[111],"appropriate.":[112],"We":[113],"argue":[114],"image-based":[116],"detection":[118],"be":[120],"employed":[121],"undertake":[123],"decision,":[126],"while":[127],"being":[130],"useful":[132],"indicator":[133],"relevant":[135],"scenes":[136],"in":[137],"post-procedure":[138],"analyses.":[139],"This":[140],"work":[141],"represents":[142],"continued":[144],"effort":[145],"previously":[147],"conducted":[148],"studies":[149],"utilizing":[150],"pre-trained":[151],"convolutional":[152],"neural":[153],"networks":[154],"(CNNs)":[155],"threshold-based":[157],"saturation":[158],"analysis.":[159],"Specifically,":[160],"we":[161,206],"explore":[162],"further":[163],"methodologies":[164],"comparison":[166],"provide":[168],"evaluate":[172],"public":[174,226],"dataset":[175],"comprising":[176],"over":[177,216,222,240],"100K":[178],"smoke/non-smoke":[179],"images":[180,201],"extracted":[181],"from":[182],"Cholec80":[184],"dataset,":[185,205],"which":[186],"composed":[188],"80":[190],"different":[191],"cholecystectomy":[192],"procedures.":[193],"Having":[194],"applied":[195],"deep":[196],"learning":[197],"20K":[200],"custom":[204,219],"achieve":[207],"Receiver":[208],"Operating":[209],"Characteristic":[210],"(ROC)":[211],"curves":[212],"enclosing":[213],"areas":[214,238],"0.98":[217],"datasets":[220],"0.77":[223],"dataset.":[227],"Surprisingly,":[228],"fixed":[230],"threshold":[231],"saturation-based":[233],"histogram":[234],"analysis":[235],"still":[236],"yields":[237],"0.78":[241],"0.75.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}