{"id":"https://openalex.org/W3093023876","doi":"https://doi.org/10.1145/3394171.3413658","title":"Relevance-Based Compression of Cataract Surgery Videos Using Convolutional Neural Networks","display_name":"Relevance-Based Compression of Cataract Surgery Videos Using Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093023876","doi":"https://doi.org/10.1145/3394171.3413658","mag":"3093023876"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413658","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th 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/A5043619224","display_name":"Negin Ghamsarian","orcid":"https://orcid.org/0000-0002-0908-8972"},"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":"Negin Ghamsarian","raw_affiliation_strings":["Alpen-Adria University of Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Alpen-Adria University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063653867","display_name":"Hadi Amirpour","orcid":"https://orcid.org/0000-0001-9853-1720"},"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":"Hadi Amirpourazarian","raw_affiliation_strings":["Alpen-Adria-Universitat Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Alpen-Adria-Universitat Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057862649","display_name":"Christian Timmerer","orcid":"https://orcid.org/0000-0002-0031-5243"},"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":"Christian Timmerer","raw_affiliation_strings":["Alpen-Adria-Universitat Klagenfurt, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Alpen-Adria-Universitat Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084722030","display_name":"Mario Taschwer","orcid":"https://orcid.org/0000-0002-7166-7414"},"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":"Mario Taschwer","raw_affiliation_strings":["Klagenfurt University, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Klagenfurt University, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027155720","display_name":"Klaus Sch\u00f6ffmann","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":"Klaus Sch\u00f6ffmann","raw_affiliation_strings":["Klagenfurt University, Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"Klagenfurt University, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043619224"],"corresponding_institution_ids":["https://openalex.org/I4210166741"],"apc_list":null,"apc_paid":null,"fwci":0.7816,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.74611817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3577","last_page":"3585"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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":0.9962000250816345,"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":0.8604256510734558},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.8144158720970154},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6904526948928833},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5131915211677551},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4732697010040283},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4713900685310364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4656202495098114},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4548147916793823},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.44881266355514526},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.42645150423049927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39919644594192505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3376848101615906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604256510734558},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8144158720970154},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6904526948928833},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5131915211677551},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4732697010040283},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4713900685310364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4656202495098114},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4548147916793823},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.44881266355514526},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.42645150423049927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39919644594192505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3376848101615906},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413658","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W333541595","https://openalex.org/W1610707153","https://openalex.org/W1978479866","https://openalex.org/W1996326832","https://openalex.org/W2042024892","https://openalex.org/W2056238658","https://openalex.org/W2108598243","https://openalex.org/W2118217749","https://openalex.org/W2131070359","https://openalex.org/W2146395539","https://openalex.org/W2171025892","https://openalex.org/W2518599539","https://openalex.org/W2747768235","https://openalex.org/W2774692246","https://openalex.org/W2795766301","https://openalex.org/W2811091788","https://openalex.org/W2949242507","https://openalex.org/W2949556967","https://openalex.org/W2950139038","https://openalex.org/W2950646696","https://openalex.org/W2950800384","https://openalex.org/W2952632681","https://openalex.org/W2953106684","https://openalex.org/W2989553713","https://openalex.org/W2997454254","https://openalex.org/W3028472502","https://openalex.org/W3033141980","https://openalex.org/W4240438240","https://openalex.org/W4242402076","https://openalex.org/W4246999471"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W2615795876","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Recorded":[0],"cataract":[1,28],"surgery":[2],"videos":[3,105],"play":[4],"a":[5,33,83],"prominent":[6],"role":[7],"in":[8,23,64,164],"training":[9],"and":[10,14,36,101,111],"investigating":[11],"the":[12,16,26,47,51,59,65,72,104,117,123,145,151,158,161,171,186,190],"surgery,":[13],"enhancing":[15],"surgical":[17],"outcomes.":[18],"Due":[19],"to":[20,49,106,122,130],"storage":[21,53],"limitations":[22],"hospitals,":[24],"however,":[25],"recorded":[27],"surgeries":[29],"are":[30],"deleted":[31],"after":[32],"short":[34],"time":[35],"this":[37,79],"precious":[38],"source":[39],"of":[40,67,74,88,103,119,147,160,189],"information":[41,69,149,183],"cannot":[42],"be":[43],"fully":[44],"utilized.":[45],"Lowering":[46],"quality":[48,62,188],"reduce":[50],"required":[52],"space":[54],"is":[55,138],"not":[56],"advisable":[57],"since":[58],"degraded":[60],"visual":[61],"results":[63,156],"loss":[66],"relevant":[68,108,124,148,191],"that":[70,170],"limits":[71],"usage":[73],"these":[75],"videos.":[76],"To":[77],"address":[78],"problem,":[80],"we":[81],"propose":[82],"relevance-based":[84,135],"compression":[85,136,177],"technique":[86],"consisting":[87],"two":[89],"modules:":[90],"(i)":[91],"relevance":[92,165],"detection,":[93],"which":[94,115],"uses":[95],"neural":[96],"networks":[97],"for":[98],"semantic":[99],"segmentation":[100],"classification":[102],"detect":[107],"spatio-temporal":[109],"information,":[110],"(ii)":[112],"content-adaptive":[113],"compression,":[114],"restricts":[116],"amount":[118],"distortion":[120],"applied":[121],"content":[125],"while":[126,184],"allocating":[127],"less":[128],"bitrate":[129],"irrelevant":[131],"content.":[132,192],"The":[133],"proposed":[134,162,172],"framework":[137],"implemented":[139],"considering":[140],"five":[141],"scenarios":[142],"based":[143],"on":[144],"definition":[146],"from":[150],"target":[152],"audience's":[153],"perspective.":[154],"Experimental":[155],"demonstrate":[157],"capability":[159],"approach":[163,173],"detection.":[166],"We":[167],"further":[168],"show":[169],"can":[174],"achieve":[175],"high":[176,187],"efficiency":[178],"by":[179],"abstracting":[180],"substantial":[181],"redundant":[182],"retaining":[185]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}