{"id":"https://openalex.org/W2466484467","doi":"https://doi.org/10.1109/cbmi.2016.7500249","title":"Temporal segmentation of laparoscopic videos into surgical phases","display_name":"Temporal segmentation of laparoscopic videos into surgical phases","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2466484467","doi":"https://doi.org/10.1109/cbmi.2016.7500249","mag":"2466484467"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2016.7500249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2016.7500249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)","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/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":true,"raw_author_name":"Manfred Jurgen Primus","raw_affiliation_strings":["Institute of Information Technology, Universit\u00e4t Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Universit\u00e4t Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","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":["Institute of Information Technology, Universit\u00e4t Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Universit\u00e4t Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112392366","display_name":"L\u00e1szl\u00f3 B\u00f6sz\u00f6rm\u00e9nyi","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":"Laszlo Boszormenyi","raw_affiliation_strings":["Institute of Information Technology, Universit\u00e4t Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Universit\u00e4t Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5105529734"],"corresponding_institution_ids":["https://openalex.org/I4210166741"],"apc_list":null,"apc_paid":null,"fwci":3.0061,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9437629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9821000099182129,"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":0.9821000099182129,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9764999747276306,"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":0.7922745943069458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7383418083190918},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6417512893676758},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4886827766895294},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4864192008972168},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48506227135658264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48284512758255005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44630640745162964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922745943069458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7383418083190918},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6417512893676758},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4886827766895294},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4864192008972168},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48506227135658264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48284512758255005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44630640745162964},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2016.7500249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2016.7500249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1485369385","https://openalex.org/W1625255723","https://openalex.org/W2064767749","https://openalex.org/W2065429801","https://openalex.org/W2107466310","https://openalex.org/W2114224287","https://openalex.org/W2117228865","https://openalex.org/W2119821739","https://openalex.org/W2135393100","https://openalex.org/W2159498975","https://openalex.org/W4239510810","https://openalex.org/W6636494156"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Videos":[0],"of":[1,30,66,76,81,88,94,97,110,121,127,154],"laparoscopic":[2,67,152],"surgeries":[3],"need":[4],"to":[5,43,50,59,73],"be":[6],"segmented":[7],"temporally":[8],"into":[9],"phases":[10,49,150],"so":[11],"that":[12,46,99,145],"surgeons":[13],"can":[14],"use":[15],"the":[16,28,74,85,92,107,125,128,131,146],"recordings":[17],"efficiently":[18],"in":[19,151],"their":[20],"everyday":[21],"work.":[22],"In":[23],"this":[24],"paper":[25],"we":[26],"investigate":[27],"performance":[29],"an":[31,51],"automatic":[32],"phase":[33],"segmentation":[34,115],"method":[35,55,116],"based":[36],"on":[37],"instrument":[38],"detection":[39,109],"and":[40,117,139],"recognition.":[41],"Contrary":[42],"known":[44],"methods":[45],"dynamically":[47],"align":[48],"annotated":[52],"dataset,":[53],"our":[54,89],"is":[56,91,106],"not":[57],"limited":[58],"standardized":[60],"or":[61,78],"unvarying":[62],"endoscopic":[63],"procedures.":[64],"Phases":[65],"procedures":[68],"show":[69],"a":[70,79,95,113,118],"high":[71],"correlation":[72],"presence":[75],"one":[77],"group":[80],"certain":[82],"instruments.":[83],"Therefore,":[84],"first":[86],"step":[87,105],"procedure":[90],"definition":[93],"set":[96],"rules":[98],"describe":[100],"these":[101],"correlations.":[102],"The":[103,142],"next":[104],"spatial":[108],"instruments":[111],"using":[112],"color-based":[114],"rule-based":[119],"interpretation":[120],"image":[122],"moments":[123],"for":[124],"refinement":[126],"detections.":[129],"Finally,":[130],"detected":[132],"regions":[133],"are":[134],"recognized":[135],"with":[136],"SVM":[137],"classifiers":[138],"ORB":[140],"features.":[141],"evaluation":[143],"shows":[144],"proposed":[147],"technique":[148],"find":[149],"videos":[153],"cholecystectomies":[155],"reliably.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}