{"id":"https://openalex.org/W1977943032","doi":"https://doi.org/10.1109/ijcnn.2007.4371072","title":"Neural Network Deinterlacing Using Multiple Fields and Field-MSEs","display_name":"Neural Network Deinterlacing Using Multiple Fields and Field-MSEs","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W1977943032","doi":"https://doi.org/10.1109/ijcnn.2007.4371072","mag":"1977943032"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371072","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5100366819","display_name":"Hyun-Soo Choi","orcid":"https://orcid.org/0000-0002-3594-8948"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunsoo Choi","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Yonsei University, Seoul, South Korea","Yonsei university, Seoul"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei university, Seoul","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100719566","display_name":"Chulhee Lee","orcid":"https://orcid.org/0000-0002-2509-167X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chulhee Lee","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Yonsei University, Seoul, South Korea","Yonsei university, Seoul"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei university, Seoul","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100366819"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":1.3172,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72976055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"51","issue":null,"first_page":"869","last_page":"872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9980999827384949,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.753115177154541},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7079880237579346},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.7038379907608032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687238335609436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5910984873771667},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4114050567150116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4030906558036804},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3706117272377014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3595312535762787},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3293887972831726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1981714367866516}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.753115177154541},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7079880237579346},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.7038379907608032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687238335609436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5910984873771667},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4114050567150116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4030906558036804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3706117272377014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3595312535762787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3293887972831726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1981714367866516},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371072","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1479706674","https://openalex.org/W1556316521","https://openalex.org/W2048878832","https://openalex.org/W2068835271","https://openalex.org/W2098755842","https://openalex.org/W2112895338","https://openalex.org/W2113188450","https://openalex.org/W2117614074","https://openalex.org/W2118733503","https://openalex.org/W2122353288","https://openalex.org/W2153166645","https://openalex.org/W2539240600","https://openalex.org/W4237647403","https://openalex.org/W6729356612"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W1998512593"],"abstract_inverted_index":{"Generally,":[0],"deinterlacing":[1,43,60,76],"algorithms":[2,61],"can":[3,101,109],"be":[4],"either":[5],"classified":[6],"as":[7,95],"intra":[8],"methods":[9,14,27],"or":[10],"inter":[11],"methods.":[12],"Intra":[13],"interpolate":[15,28],"missing":[16,29],"lines":[17,30],"by":[18,31],"using":[19,32,92,114],"surrounding":[20],"pixels":[21,33],"in":[22,113,128],"the":[23,35,107,121,124],"current":[24],"field.":[25,66],"Inter":[26],"and":[34],"motion":[36],"information":[37,104],"of":[38,123],"multiple":[39,46,79,115],"fields.":[40,116],"Neural":[41],"network":[42,59,75],"that":[44,62,77,106,120],"uses":[45,78],"fields":[47,70,80],"has":[48],"been":[49],"proposed.":[50],"It":[51],"provides":[52],"improved":[53,129],"performance":[54],"compared":[55],"to":[56],"existing":[57],"neural":[58,74],"use":[63,122],"a":[64],"single":[65],"However,":[67],"when":[68],"adjacent":[69],"are":[71],"very":[72],"different,":[73],"may":[81],"not":[82],"provide":[83,102],"good":[84],"performance.":[85,130],"To":[86],"address":[87],"this":[88],"problem,":[89],"we":[90],"propose":[91],"field-MSE":[93],"values":[94,100],"additional":[96],"inputs.":[97],"These":[98],"MSE":[99],"helpful":[103],"so":[105],"networks":[108],"consider":[110],"field":[111],"differences":[112],"Experimental":[117],"results":[118,127],"show":[119],"proposed":[125],"algorithm":[126]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
