{"id":"https://openalex.org/W2540635231","doi":"https://doi.org/10.1145/2837060.2837097","title":"Generating New Ground Truth Data by Editing Previous Data from Integrated Video Annotation Database","display_name":"Generating New Ground Truth Data by Editing Previous Data from Integrated Video Annotation Database","publication_year":2015,"publication_date":"2015-10-20","ids":{"openalex":"https://openalex.org/W2540635231","doi":"https://doi.org/10.1145/2837060.2837097","mag":"2540635231"},"language":"en","primary_location":{"id":"doi:10.1145/2837060.2837097","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2837060.2837097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Conference on Big Data Applications and Services","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/A5083358216","display_name":"HyunSeok Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"HyunSeok Ahn","raw_affiliation_strings":["Dept. of Information and Communication Engineering, Inha University, Incheon, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Communication Engineering, Inha University, Incheon, Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358151","display_name":"Yejin Kim","orcid":"https://orcid.org/0000-0003-3900-6015"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"DongHyun Kim","raw_affiliation_strings":["Knowledge Management System Laboratory, Inha University, Incheon, Korea"],"affiliations":[{"raw_affiliation_string":"Knowledge Management System Laboratory, Inha University, Incheon, Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059225337","display_name":"Yoo-Sung Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoo-Sung Kim","raw_affiliation_strings":["Dept. of Information and Communication Engineering, Inha University, Incheon, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Communication Engineering, Inha University, Incheon, Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083358216"],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6349536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"208","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9861000180244446,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9833999872207642,"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/annotation","display_name":"Annotation","score":0.8961405754089355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8503556847572327},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.837746262550354},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5189811587333679},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49201223254203796},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4068748950958252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39082568883895874},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.38375407457351685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37037259340286255}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8961405754089355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8503556847572327},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.837746262550354},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5189811587333679},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49201223254203796},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4068748950958252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39082568883895874},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38375407457351685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37037259340286255},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2837060.2837097","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2837060.2837097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Conference on Big Data Applications and Services","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":5,"referenced_works":["https://openalex.org/W1976742254","https://openalex.org/W1996780390","https://openalex.org/W2060068662","https://openalex.org/W2100291131","https://openalex.org/W2101794436"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2251519152"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,30,85],"develop":[3],"object":[4,132],"and":[5,21,28,58,79,133],"event":[6,134],"detection":[7,108,135],"algorithms":[8,109,136],"for":[9,106,130],"intelligent":[10,111],"CCTVs,":[11],"a":[12,24,74,120],"large":[13,36],"amount":[14,37,122],"of":[15,26,38,51,110,123],"ground":[16,39,88,103,124],"truth":[17,40,89,104,125],"data":[18,55,84,90,97,105,126],"is":[19,70,128],"required,":[20],"it":[22],"takes":[23],"lot":[25],"time":[27,143],"cost":[29],"generate":[31,86],"the":[32,60,65,81,102,115],"data.":[33],"To":[34],"produce":[35],"data,":[41],"an":[42],"efficient":[43],"video":[44,53,67,117],"annotation":[45,54,68,83,96,118],"system":[46,75],"which":[47,127],"can":[48,77,98,137],"support":[49],"re-creations":[50],"new":[52,87],"by":[56],"retrieving":[57],"editing":[59],"previously":[61],"stored":[62],"ones":[63],"from":[64],"integrated":[66],"database":[69],"required.":[71],"We":[72],"developed":[73,116],"that":[76],"retrieve":[78],"edit":[80],"previous":[82],"very":[91],"efficiently.":[92],"The":[93],"newly":[94],"generated":[95,139],"be":[99,138],"used":[100],"as":[101],"developing":[107,131],"CCTV.":[112],"By":[113],"using":[114],"system,":[119],"substantial":[121],"needed":[129],"easily":[140],"in":[141],"short":[142],"periods.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}