{"id":"https://openalex.org/W3194912823","doi":"https://doi.org/10.1109/icip42928.2021.9506107","title":"Lossless Video Coding Based On Probability Model Optimization With Improved Adaptive Prediction","display_name":"Lossless Video Coding Based On Probability Model Optimization With Improved Adaptive Prediction","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194912823","doi":"https://doi.org/10.1109/icip42928.2021.9506107","mag":"3194912823"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5079470198","display_name":"Kyohei Unno","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]},{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyohei Unno","raw_affiliation_strings":["Tokyo University of Science,Faculty of Science and Technology","KDDI Research, Inc. 2-1-15 Ohara, Fujimino-shi, Saitama, Japan","Faculty of Science and Technology, Tokyo University of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Faculty of Science and Technology","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"KDDI Research, Inc. 2-1-15 Ohara, Fujimino-shi, Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]},{"raw_affiliation_string":"Faculty of Science and Technology, Tokyo University of Science","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056040328","display_name":"Yusuke Kameda","orcid":"https://orcid.org/0000-0001-8503-4098"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Kameda","raw_affiliation_strings":["Tokyo University of Science,Faculty of Science and Technology","Faculty of Science and Technology, Tokyo University of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Faculty of Science and Technology","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Faculty of Science and Technology, Tokyo University of Science","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049659355","display_name":"Yasuyo Kita","orcid":"https://orcid.org/0000-0001-8139-7406"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuyo Kita","raw_affiliation_strings":["Tokyo University of Science,Faculty of Science and Technology","Faculty of Science and Technology, Tokyo University of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Faculty of Science and Technology","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Faculty of Science and Technology, Tokyo University of Science","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102924720","display_name":"Ichiro Matsuda","orcid":"https://orcid.org/0009-0000-4556-975X"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Matsuda","raw_affiliation_strings":["Tokyo University of Science,Faculty of Science and Technology","Faculty of Science and Technology, Tokyo University of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Faculty of Science and Technology","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Faculty of Science and Technology, Tokyo University of Science","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102314788","display_name":"Susumu Itoh","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Susumu Itoh","raw_affiliation_strings":["Tokyo University of Science,Faculty of Science and Technology","Faculty of Science and Technology, Tokyo University of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Faculty of Science and Technology","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Faculty of Science and Technology, Tokyo University of Science","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102301632","display_name":"Kei Kawamura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Kawamura","raw_affiliation_strings":["KDDI Research, Inc. 2-1-15 Ohara, Fujimino-shi, Saitama,JAPAN,356\u20138502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc. 2-1-15 Ohara, Fujimino-shi, Saitama,JAPAN,356\u20138502","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3088,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54341568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2044","last_page":"2048"},"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/lossless-compression","display_name":"Lossless compression","score":0.7682265639305115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7471606135368347},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6516926288604736},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.5975262522697449},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.5774143934249878},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.5488248467445374},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.5281774401664734},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5099023580551147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5025744438171387},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.4546199440956116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42786893248558044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35700035095214844},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22857308387756348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1533169150352478},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0754086971282959},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06499409675598145}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7682265639305115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471606135368347},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6516926288604736},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.5975262522697449},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.5774143934249878},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.5488248467445374},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.5281774401664734},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5099023580551147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5025744438171387},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.4546199440956116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42786893248558044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35700035095214844},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22857308387756348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1533169150352478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0754086971282959},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06499409675598145}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325628","display_name":"Ministry of Internal Affairs and Communications","ror":"https://ror.org/00vs1pz50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2032311983","https://openalex.org/W2046396191","https://openalex.org/W2152066778","https://openalex.org/W2245520837","https://openalex.org/W2295929469","https://openalex.org/W3033197451","https://openalex.org/W3040259435","https://openalex.org/W3091477275"],"related_works":["https://openalex.org/W2167897635","https://openalex.org/W2147309993","https://openalex.org/W2111894935","https://openalex.org/W2349573707","https://openalex.org/W1996004162","https://openalex.org/W2096690777","https://openalex.org/W3194912823","https://openalex.org/W4236050943","https://openalex.org/W1987684633","https://openalex.org/W2779223219"],"abstract_inverted_index":{"We":[0],"previously":[1],"proposed":[2,70],"a":[3,16],"novel":[4],"lossless":[5,94],"coding":[6,36,75,89,96],"method":[7,71],"that":[8,68],"utilizes":[9],"example":[10],"search":[11],"and":[12,38,59,77,86],"adaptive":[13,31],"prediction":[14,32],"within":[15],"framework":[17],"of":[18,35,63],"probability":[19],"model":[20],"optimization":[21],"for":[22],"monochrome":[23],"video.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28,43],"improve":[29],"the":[30,47,69,74,78,92],"in":[33],"terms":[34],"performance":[37,76,90],"processing":[39,79],"time.":[40],"More":[41],"precisely,":[42],"made":[44],"modifications":[45],"to":[46,82],"following":[48],"three":[49],"items:":[50],"(a)":[51],"reference":[52],"pel":[53],"arrangements,":[54],"(b)":[55],"motion":[56],"vector":[57],"derivation,":[58],"(c)":[60],"optimal":[61],"selection":[62],"predictors.":[64],"Experimental":[65],"results":[66],"show":[67],"certainly":[72],"improves":[73],"time":[80],"compared":[81],"our":[83],"previous":[84],"method,":[85],"achieves":[87],"better":[88],"than":[91],"VVC-based":[93],"video":[95],"scheme.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
