{"id":"https://openalex.org/W2326093675","doi":"https://doi.org/10.1109/tcsvt.2016.2543098","title":"Intra Line Copy for HEVC Screen Content Intra-Picture Prediction","display_name":"Intra Line Copy for HEVC Screen Content Intra-Picture Prediction","publication_year":2016,"publication_date":"2016-03-16","ids":{"openalex":"https://openalex.org/W2326093675","doi":"https://doi.org/10.1109/tcsvt.2016.2543098","mag":"2326093675"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2543098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2543098","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100629591","display_name":"Chun-Chi Chen","orcid":"https://orcid.org/0009-0009-4728-5393"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chun-Chi Chen","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071531458","display_name":"Wen-Hsiao Peng","orcid":"https://orcid.org/0000-0002-4421-8031"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsiao Peng","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100629591"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":2.5218,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89889246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"7","first_page":"1568","last_page":"1579"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9883999824523926,"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":0.982699990272522,"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/computer-science","display_name":"Computer science","score":0.7300726175308228},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6398866176605225},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5697974562644958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5193718075752258},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49163490533828735},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.44377604126930237},{"id":"https://openalex.org/keywords/bit-array","display_name":"Bit array","score":0.4287105202674866},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.41069626808166504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33156031370162964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17413413524627686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300726175308228},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6398866176605225},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5697974562644958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5193718075752258},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49163490533828735},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.44377604126930237},{"id":"https://openalex.org/C150807984","wikidata":"https://www.wikidata.org/wiki/Q1992074","display_name":"Bit array","level":3,"score":0.4287105202674866},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.41069626808166504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33156031370162964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17413413524627686},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2543098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2543098","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7869731404","display_name":null,"funder_award_id":"104-2221-E-009-065-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1973290753","https://openalex.org/W1985096164","https://openalex.org/W1999421914","https://openalex.org/W2036906795","https://openalex.org/W2146395539","https://openalex.org/W2249152912","https://openalex.org/W2296476297","https://openalex.org/W2343011404","https://openalex.org/W2478708596"],"related_works":["https://openalex.org/W2022792005","https://openalex.org/W1965914235","https://openalex.org/W2377929809","https://openalex.org/W4366145473","https://openalex.org/W2070167178","https://openalex.org/W2352547415","https://openalex.org/W1530240988","https://openalex.org/W1481691646","https://openalex.org/W2086374114","https://openalex.org/W2541052005"],"abstract_inverted_index":{"This":[0,43],"paper":[1],"presents":[2],"an":[3,126,156,164],"intra":[4,24,29],"line":[5,113,136],"copy":[6,26,31],"(ILC)":[7],"technique":[8],"for":[9],"HEVC":[10],"screen":[11],"content":[12],"coding.":[13,42],"It":[14],"shares":[15],"the":[16,35,88,93,106,131,170,175],"same":[17],"origin":[18],"with":[19,51,181,187],"two":[20],"other":[21],"prominent":[22],"techniques,":[23],"string":[25,38,199],"(ISC)":[27],"and":[28,56,78,108,118,121,178],"block":[30,67],"(IBC),":[32],"in":[33,48,105],"applying":[34],"notion":[36],"of":[37,64,76,96],"matching":[39],"to":[40,142,174],"intra-frame":[41],"work":[44],"combines":[45],"their":[46,144],"merits":[47],"one":[49],"scheme":[50],"both":[52],"good":[53],"compression":[54],"performance":[55,192],"high":[57],"regularity.":[58],"Specifically,":[59],"it":[60,70,189],"forms":[61],"a":[62,65,182],"prediction":[63,132],"coding":[66,145],"by":[68],"decomposing":[69],"into":[71],"horizontal":[72,107],"or":[73],"vertical":[74,109],"lines":[75,124],"pixels":[77],"performing":[79],"line-based":[80],"predictions":[81],"based":[82,149],"on":[83,150],"previously":[84],"coded":[85],"data":[86],"from":[87,116,197],"current":[89],"frame.":[90],"To":[91],"address":[92],"massive":[94],"amounts":[95],"search":[97,101,171],"operations,":[98],"our":[99],"fast":[100],"algorithm":[102],"first":[103],"searches":[104],"directions,":[110],"then":[111],"checks":[112],"vector":[114],"candidates":[115],"spatial":[117],"temporal":[119],"neighbors,":[120],"finally":[122],"references":[123],"having":[125],"identical":[127],"hash":[128],"value":[129],"as":[130,155],"line.":[133],"The":[134],"resulting":[135],"vectors":[137],"are":[138],"further":[139],"predicted":[140],"adaptively":[141],"minimize":[143],"overhead.":[146],"Extensive":[147],"experiments":[148],"SCM-4.0,":[151],"which":[152],"includes":[153],"IBC":[154],"integral":[157],"component,":[158],"show":[159],"that":[160],"ILC":[161],"can":[162],"provide":[163],"additional":[165],"4%-7%":[166],"BD-rate":[167],"savings":[168],"when":[169],"area":[172],"extends":[173],"entire":[176],"frame":[177],"3%-4%":[179],"improvements":[180],"restricted":[183],"local":[184],"search.":[185],"Compared":[186],"ISC,":[188],"achieves":[190],"comparable":[191],"without":[193],"all":[194],"its":[195],"complications":[196],"sequential":[198],"parsing.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}