{"id":"https://openalex.org/W2132812797","doi":"https://doi.org/10.1109/icassp.2012.6288099","title":"Lagrangian multiplier optimization using correlations in residues","display_name":"Lagrangian multiplier optimization using correlations in residues","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2132812797","doi":"https://doi.org/10.1109/icassp.2012.6288099","mag":"2132812797"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100405177","display_name":"Zhenyu Liu","orcid":"https://orcid.org/0000-0002-6270-9475"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhenyu Liu","raw_affiliation_strings":["Graduate School of IPS, Waseda University, Kitakyushu, Japan","Graduate School of IPS Waseda University Kitakyushu, 808-0135, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of IPS, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of IPS Waseda University Kitakyushu, 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450575","display_name":"Dongsheng Wang","orcid":"https://orcid.org/0000-0001-5779-9026"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Wang","raw_affiliation_strings":["TNList, Tsinghua University, Beijing, China","TNList, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"TNList, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056068917","display_name":"Junwei Zhou","orcid":"https://orcid.org/0000-0002-6094-1203"},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junwei Zhou","raw_affiliation_strings":["Oracle Corporation, Redwood Shores, CA, USA","Oracle Corp. Redwood Shores, CA, 94065, USA"],"affiliations":[{"raw_affiliation_string":"Oracle Corporation, Redwood Shores, CA, USA","institution_ids":["https://openalex.org/I1342911587"]},{"raw_affiliation_string":"Oracle Corp. Redwood Shores, CA, 94065, USA","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103206427","display_name":"Takeshi Ikenaga","orcid":"https://orcid.org/0000-0001-8338-8175"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Ikenaga","raw_affiliation_strings":["Graduate School of IPS, Waseda University, Kitakyushu, Japan","Graduate School of IPS Waseda University Kitakyushu, 808-0135, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of IPS, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of IPS Waseda University Kitakyushu, 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100405177"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.4897,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68552327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1185","last_page":"1188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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":0.9968000054359436,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9936000108718872,"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/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.701020359992981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484196186065674},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6006699800491333},{"id":"https://openalex.org/keywords/reference-software","display_name":"Reference software","score":0.5849770307540894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5592862963676453},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5572301149368286},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.5417322516441345},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5407876968383789},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.492561399936676},{"id":"https://openalex.org/keywords/erlang-distribution","display_name":"Erlang distribution","score":0.49015745520591736},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.4809952974319458},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.44748789072036743},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4471721947193146},{"id":"https://openalex.org/keywords/lagrangian","display_name":"Lagrangian","score":0.41167202591896057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2571931481361389},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.14871782064437866},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.11933872103691101}],"concepts":[{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.701020359992981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484196186065674},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6006699800491333},{"id":"https://openalex.org/C2776493296","wikidata":"https://www.wikidata.org/wiki/Q7307150","display_name":"Reference software","level":3,"score":0.5849770307540894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5592862963676453},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5572301149368286},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.5417322516441345},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5407876968383789},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.492561399936676},{"id":"https://openalex.org/C145437242","wikidata":"https://www.wikidata.org/wiki/Q762448","display_name":"Erlang distribution","level":3,"score":0.49015745520591736},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.4809952974319458},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.44748789072036743},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4471721947193146},{"id":"https://openalex.org/C53469067","wikidata":"https://www.wikidata.org/wiki/Q505735","display_name":"Lagrangian","level":2,"score":0.41167202591896057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2571931481361389},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.14871782064437866},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.11933872103691101},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2012.6288099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":12,"referenced_works":["https://openalex.org/W2073809854","https://openalex.org/W2101700394","https://openalex.org/W2105574607","https://openalex.org/W2106219841","https://openalex.org/W2135469284","https://openalex.org/W2140199336","https://openalex.org/W2162096028","https://openalex.org/W2169161136","https://openalex.org/W2240901055","https://openalex.org/W2276329208","https://openalex.org/W2562889030","https://openalex.org/W4401325430"],"related_works":["https://openalex.org/W2360271985","https://openalex.org/W2131718214","https://openalex.org/W2002987466","https://openalex.org/W2070276483","https://openalex.org/W1972437117","https://openalex.org/W1973889396","https://openalex.org/W2467306310","https://openalex.org/W1522162180","https://openalex.org/W3207854495","https://openalex.org/W1635517180"],"abstract_inverted_index":{"Rate":[0],"distortion":[1,74],"optimization":[2,59],"(RDO)":[3],"algorithm":[4,20],"plays":[5],"the":[6,10,31,45,51,57,63,67,73,77,85,91,102,129,154,161],"vital":[7],"role":[8],"in":[9,50],"up":[11,27,110],"to":[12,89,111,142],"date":[13],"hybrid":[14],"video":[15],"codec":[16],"H.264/AVC.":[17],"The":[18,81,134],"RDO":[19],"of":[21],"H.264/AVC":[22],"reference":[23,104],"software":[24],"is":[25,157],"built":[26],"by":[28,61],"assuming":[29],"that":[30],"transformed":[32,64],"residues":[33,65],"are":[34],"memoryless":[35],"variables.":[36],"However,":[37],"our":[38,106,116,144],"experiments":[39,96],"reveal":[40],"that,":[41,98],"for":[42,160],"some":[43],"sequences,":[44],"strong":[46],"temporal":[47],"correlations":[48],"exist":[49],"prediction":[52],"residues.":[53],"This":[54],"paper":[55],"extends":[56],"Lagrangian":[58,86],"techniques":[60],"modeling":[62],"as":[66,99],"first-order":[68],"Markov":[69],"source":[70],"and":[71,123],"calibrating":[72],"model":[75],"with":[76,101,146],"piecewise":[78],"approximation":[79],"function.":[80],"proposed":[82,155],"algorithms":[83,117,145],"adjust":[84],"multiplier":[87],"dynamically":[88],"improve":[90],"overall":[92],"coding":[93,113,121],"quality.":[94],"Comprehensive":[95],"testify":[97],"compared":[100],"JM":[103],"software,":[105],"optimizations":[107],"can":[108],"achieve":[109],"1.875dB":[112],"gain.":[114],"Moreover,":[115],"posses":[118],"more":[119],"robust":[120],"performance":[122],"introduce":[124],"less":[125],"computational":[126],"overhead":[127],"than":[128],"Laplace":[130],"distribution":[131],"based":[132],"methods.":[133],"inherent":[135],"short":[136],"process":[137],"latency":[138],"makes":[139],"it":[140],"possible":[141],"cooperate":[143],"rate":[147],"control":[148],"operation.":[149],"Last":[150],"but":[151],"not":[152],"least,":[153],"approach":[156],"also":[158],"useful":[159],"emerging":[162],"standard,":[163],"HEVC.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
