{"id":"https://openalex.org/W2098626514","doi":"https://doi.org/10.1109/tce.2006.1706485","title":"An efficient and robust adaptive deinterlacing technique","display_name":"An efficient and robust adaptive deinterlacing technique","publication_year":2006,"publication_date":"2006-08-01","ids":{"openalex":"https://openalex.org/W2098626514","doi":"https://doi.org/10.1109/tce.2006.1706485","mag":"2098626514"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2006.1706485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2006.1706485","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5079178505","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0001-5625-0402"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Huang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","[Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing]"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"[Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600353","display_name":"Debin Zhao","orcid":"https://orcid.org/0000-0003-3434-9967"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Zhao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103071044","display_name":"Huifang Sun","orcid":"https://orcid.org/0000-0003-2918-1522"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huifang Sun","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079178505"],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":1.5901,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82566477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"52","issue":"3","first_page":"888","last_page":"895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9976999759674072,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.7405974268913269},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.6521220207214355},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.6450177431106567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6089611053466797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.607647716999054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6041799783706665},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.600959300994873},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5062503218650818},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4947940707206726},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4867872893810272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3224647045135498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3165211081504822},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10736247897148132}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7405974268913269},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.6521220207214355},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.6450177431106567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6089611053466797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607647716999054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6041799783706665},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.600959300994873},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5062503218650818},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4947940707206726},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4867872893810272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3224647045135498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3165211081504822},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10736247897148132},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2006.1706485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2006.1706485","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1482227431","https://openalex.org/W1940902205","https://openalex.org/W2021711923","https://openalex.org/W2029142287","https://openalex.org/W2048878832","https://openalex.org/W2053296473","https://openalex.org/W2098067659","https://openalex.org/W2098755842","https://openalex.org/W2099783603","https://openalex.org/W2105975471","https://openalex.org/W2110492826","https://openalex.org/W2120674125","https://openalex.org/W2123875298","https://openalex.org/W2126994976","https://openalex.org/W2144823390","https://openalex.org/W2145023731","https://openalex.org/W2150297271","https://openalex.org/W2152462980","https://openalex.org/W2155975762","https://openalex.org/W2161182956","https://openalex.org/W2165264965","https://openalex.org/W2219479859","https://openalex.org/W3100569200","https://openalex.org/W4241487786","https://openalex.org/W4251439018","https://openalex.org/W4285719527","https://openalex.org/W6640319037","https://openalex.org/W6683749022","https://openalex.org/W6688771295"],"related_works":["https://openalex.org/W839483973","https://openalex.org/W1579157894","https://openalex.org/W1969136679","https://openalex.org/W1530267862","https://openalex.org/W1967654336","https://openalex.org/W2156379140","https://openalex.org/W2143589929","https://openalex.org/W4241657933","https://openalex.org/W1579940903","https://openalex.org/W2366349316"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,65],"efficient":[4],"and":[5,22,32,75,101,117],"robust":[6,112],"adaptive":[7,23,66],"deinterlacing":[8,67,94],"technique":[9,95,110],"that":[10,91,107],"consists":[11],"of":[12,78,86],"three":[13],"main":[14],"steps,":[15],"i.e.":[16],"motion":[17,19,35,50,62,74],"estimation,":[18],"detection":[20],"(MD),":[21],"decision-making.":[24],"Firstly,":[25],"five":[26],"successive":[27],"interlaced":[28],"fields":[29],"are":[30,37],"used":[31],"four":[33,59],"unidirectional":[34],"vectors":[36],"calculated.":[38],"Secondly,":[39],"a":[40],"probabilistic":[41],"criterion":[42],"is":[43,69,111],"introduced":[44],"to":[45,113],"select":[46],"the":[47,73,84,92,108,118],"most":[48],"reliable":[49],"vector":[51],"for":[52],"each":[53,79],"block":[54],"before":[55],"MD,":[56],"which":[57],"has":[58],"possible":[60],"output":[61,85],"states.":[63],"Finally,":[64],"scheme":[68],"proposed":[70,93,109],"based":[71],"on":[72],"texture":[76],"information":[77],"block,":[80],"as":[81,83],"well":[82],"MD.":[87],"Experimental":[88],"results":[89],"show":[90],"outperforms":[96],"previous":[97],"methods":[98],"both":[99,114],"objectively":[100],"subjectively.":[102],"The":[103],"analysis":[104],"also":[105],"shows":[106],"unconventional":[115],"motions":[116],"video":[119],"codec":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}