{"id":"https://openalex.org/W3211591452","doi":"https://doi.org/10.1145/3426020.3426067","title":"KERC 2019: The 1st Korean Emotion Recognition Challenge","display_name":"KERC 2019: The 1st Korean Emotion Recognition Challenge","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3211591452","doi":"https://doi.org/10.1145/3426020.3426067","mag":"3211591452"},"language":"en","primary_location":{"id":"doi:10.1145/3426020.3426067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","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/A5050462509","display_name":"Inha Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Inha Seo","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020294339","display_name":"Thi Tuong Vi Vo","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Thi Tuong Vi Vo","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026607867","display_name":"Aran Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Aran Oh","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070936425","display_name":"Guee-Sang Lee","orcid":"https://orcid.org/0000-0002-8756-1382"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Guee-Sang Lee","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102430216","display_name":"Huajie Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Huung-Jeong Yang","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605822","display_name":"Soo-Hyung Kim","orcid":"https://orcid.org/0000-0003-3575-5035"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Hyung Kim","raw_affiliation_strings":["Chonnam National University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, S. Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050462509"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29130739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9890999794006348,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/sadness","display_name":"Sadness","score":0.8814692497253418},{"id":"https://openalex.org/keywords/disgust","display_name":"Disgust","score":0.8605326414108276},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.8279088735580444},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.7275009751319885},{"id":"https://openalex.org/keywords/happiness","display_name":"Happiness","score":0.6443111896514893},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.623617947101593},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.6170297861099243},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6165363788604736},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5619422197341919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5583876371383667},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4484262764453888},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4179919362068176},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.41028112173080444},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3950464427471161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34463319182395935},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3281508684158325},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1331346333026886}],"concepts":[{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.8814692497253418},{"id":"https://openalex.org/C2777375102","wikidata":"https://www.wikidata.org/wiki/Q208351","display_name":"Disgust","level":3,"score":0.8605326414108276},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.8279088735580444},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.7275009751319885},{"id":"https://openalex.org/C2778999518","wikidata":"https://www.wikidata.org/wiki/Q8","display_name":"Happiness","level":2,"score":0.6443111896514893},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.623617947101593},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.6170297861099243},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6165363788604736},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5619422197341919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5583876371383667},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4484262764453888},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4179919362068176},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.41028112173080444},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3950464427471161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34463319182395935},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3281508684158325},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1331346333026886},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426020.3426067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3915194844","display_name":null,"funder_award_id":"NRF-2020R1A4A1019191","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1825415099","https://openalex.org/W2032254851","https://openalex.org/W2325939864","https://openalex.org/W2579152745","https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W2980495289","https://openalex.org/W3122081138"],"related_works":["https://openalex.org/W4238520549","https://openalex.org/W3216173459","https://openalex.org/W2794357331","https://openalex.org/W4242611441","https://openalex.org/W4242034606","https://openalex.org/W2037174948","https://openalex.org/W4388134110","https://openalex.org/W3199829813","https://openalex.org/W2400641934","https://openalex.org/W2018346846"],"abstract_inverted_index":{"KERC":[0,24,58,81,108,138],"is":[1],"a":[2,115],"global":[3],"challenge":[4],"for":[5],"recognizing":[6],"the":[7,40,119,126,130,153],"emotions":[8,48],"of":[9,46,72,107,134,155],"Korean":[10,96,156],"people":[11,97],"appearing":[12],"in":[13,37,143],"movies":[14],"and":[15,56,67,112,132,149],"TV":[16],"dramas":[17],"by":[18],"using":[19],"audiovisual":[20],"data":[21],"analyses.":[22],"The":[23,80,103],"committee":[25],"provides":[26,84],"an":[27,87,146],"Audio-Visual":[28],"dataset":[29],"comprising":[30],"video":[31,136],"clips":[32],"2":[33],"to":[34,64,89,128,151],"4":[35],"seconds":[36],"length":[38],"which":[39,73],"attendant":[41],"should":[42],"classify":[43],"into":[44],"one":[45],"7":[47],"-":[49],"Anger,":[50],"Disgust,":[51],"Fear,":[52],"Happiness,":[53],"Neutral,":[54],"Sadness,":[55],"Surprise.":[57],"2019":[59,66],"was":[60],"held":[61,142],"between":[62],"July":[63],"November":[65],"received":[68],"102":[69],"applications":[70],"worldwide,":[71],"15":[74],"teams":[75],"submitted":[76],"their":[77,91],"final":[78],"results.":[79],"benchmarking":[82],"platform":[83],"researchers":[85],"with":[86],"opportunity":[88],"evaluate":[90],"emotion":[92,135,157],"recognition":[93,158],"methods":[94],"on":[95],"as":[98,100,145],"well":[99],"various":[101],"races.":[102],"top":[104],"three":[105],"winners":[106],"achieved":[109],"66%,":[110],"60%":[111],"56%":[113],"accuracy,":[114],"large":[116],"improvement":[117],"over":[118],"baseline":[120],"(39%).":[121],"This":[122],"paper":[123],"also":[124,140],"proposed":[125],"tool":[127],"support":[129],"creation":[131],"annotation":[133],"clips.":[137],"will":[139],"be":[141],"2020":[144],"annual":[147],"event":[148],"continues":[150],"encourage":[152],"development":[154],"technology.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
