{"id":"https://openalex.org/W4317555340","doi":"https://doi.org/10.1109/pcs56426.2022.10017996","title":"Piecewise Linear Model Based Local Illumination Compensation Inter Prediction for Video Coding","display_name":"Piecewise Linear Model Based Local Illumination Compensation Inter Prediction for Video Coding","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4317555340","doi":"https://doi.org/10.1109/pcs56426.2022.10017996"},"language":"en","primary_location":{"id":"doi:10.1109/pcs56426.2022.10017996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10017996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","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/A5100337628","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-9315-3780"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Wang","raw_affiliation_strings":["Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641352","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0003-3873-1653"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070798407","display_name":"Huanbang Chen","orcid":"https://orcid.org/0000-0001-7286-1123"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanbang Chen","raw_affiliation_strings":["Huawei Technologies Co., Ltd.,Shenzhen,China,518000"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd.,Shenzhen,China,518000","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071009917","display_name":"Haitao Yang","orcid":"https://orcid.org/0000-0001-6031-8027"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Yang","raw_affiliation_strings":["Huawei Technologies Co., Ltd.,Shenzhen,China,518000"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd.,Shenzhen,China,518000","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076516584","display_name":"Kedeng Tong","orcid":"https://orcid.org/0000-0002-3670-4486"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kedeng Tong","raw_affiliation_strings":["Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012503019","display_name":"Yuqing Yang","orcid":"https://orcid.org/0000-0003-0409-2590"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Yang","raw_affiliation_strings":["Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen Key Lab of Broadband Network and Multimedia, Shenzhen International Graduate School,Shenzhen,China,518000","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100337628"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.1486,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43847969,"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":"385","last_page":"389"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.996399998664856,"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/piecewise-linear-function","display_name":"Piecewise linear function","score":0.7142085433006287},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.652572751045227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222118735313416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.578178882598877},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5576545000076294},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49241578578948975},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4735637903213501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45856061577796936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4346790015697479},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4118348956108093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3758109509944916},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13030216097831726},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08266562223434448}],"concepts":[{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.7142085433006287},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.652572751045227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222118735313416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.578178882598877},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5576545000076294},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49241578578948975},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4735637903213501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45856061577796936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4346790015697479},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4118348956108093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3758109509944916},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13030216097831726},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08266562223434448},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs56426.2022.10017996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10017996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","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":9,"referenced_works":["https://openalex.org/W1936164573","https://openalex.org/W2101700394","https://openalex.org/W2102901296","https://openalex.org/W2130346654","https://openalex.org/W2136170185","https://openalex.org/W2167359416","https://openalex.org/W2169161136","https://openalex.org/W3186764622","https://openalex.org/W3188610266"],"related_works":["https://openalex.org/W4206673776","https://openalex.org/W851866491","https://openalex.org/W2158825824","https://openalex.org/W2363279238","https://openalex.org/W2046284878","https://openalex.org/W2065134433","https://openalex.org/W2063377350","https://openalex.org/W2131710332","https://openalex.org/W2368287095","https://openalex.org/W46035483"],"abstract_inverted_index":{"In":[0,72],"video":[1,7],"coding,":[2],"the":[3,17,25,115,126,130,134,158,164],"illumination":[4,21,35,58,67,83,91],"information":[5],"of":[6,34,129],"scenes":[8],"is":[9,54,98,161],"usually":[10],"hard":[11],"to":[12,16,87,100,124],"be":[13,125,178],"compressed":[14],"due":[15],"complex":[18],"and":[19,137],"unpredictable":[20],"variations.":[22],"To":[23],"simplify":[24],"problem,":[26],"many":[27],"prediction":[28],"algorithms":[29],"assume":[30],"a":[31,77,101],"linear":[32,43,79],"correlation":[33],"variations":[36,59,68,92],"existing":[37],"between":[38],"frames":[39],"by":[40,163],"constructing":[41],"corresponding":[42,139,165],"model":[44,80],"(LM),":[45],"such":[46],"as":[47],"Weighted":[48],"Prediction":[49],"(WP)":[50],"method.":[51],"The":[52],"assumption":[53],"suitable":[55],"for":[56,154,180],"uniform":[57],"with":[60],"lager":[61],"area,":[62],"but":[63,119],"ineffective":[64],"in":[65,69,93],"sharp":[66,90],"small":[70,94],"area.":[71,95],"this":[73],"paper,":[74],"we":[75,105],"propose":[76],"piecewise":[78],"based":[81,147,183],"local":[82],"compensation":[84],"(PLMLIC)":[85],"approach":[86],"further":[88],"compensate":[89],"When":[96],"PLMLIC":[97,150,166],"applied":[99],"coding":[102],"unit":[103],"(CU),":[104],"first":[106],"use":[107],"multiple":[108],"reference":[109,117,122,140],"lines,":[110],"i.e.":[111],"allow":[112],"not":[113],"only":[114],"nearest":[116],"line":[118],"also":[120],"long-distance":[121],"lines":[123],"neighbouring":[127,135],"samples":[128,136,141],"current":[131,159],"CU.":[132],"Then":[133],"their":[138],"are":[142,152],"classified":[143],"into":[144],"2":[145],"groups,":[146],"on":[148,175,184],"which":[149],"parameters":[151],"derived":[153],"each":[155],"group.":[156],"Finally,":[157],"CU":[160],"predicted":[162],"parameters.":[167],"Experimental":[168],"results":[169],"show":[170],"that":[171],"0.23%":[172],"BD-rate":[173],"savings":[174],"average":[176],"can":[177],"achieved":[179],"lowdelay":[181],"configuration":[182],"Enhanced":[185],"Compression":[186],"Model":[187],"(ECM)":[188],"beyond":[189],"VVC.":[190]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}