{"id":"https://openalex.org/W2892369639","doi":"https://doi.org/10.1109/icassp.2018.8461970","title":"Rate Control for Hevc Intra-Coding Based on Piecewise Linear Approximations","display_name":"Rate Control for Hevc Intra-Coding Based on Piecewise Linear Approximations","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2892369639","doi":"https://doi.org/10.1109/icassp.2018.8461970","mag":"2892369639"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5100634965","display_name":"V\u00edctor S\u00e1nchez","orcid":"https://orcid.org/0000-0002-7089-7031"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Victor Sanchez","raw_affiliation_strings":["Dept. of Computer Science, University of Warwick, Coventry, UK"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100634965"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":1.156,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79765299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965999722480774,"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":0.9937999844551086,"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/algorithm","display_name":"Algorithm","score":0.6970267295837402},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6363939046859741},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.617057740688324},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5209727883338928},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.5013151168823242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5005323886871338},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.4912523627281189},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.4519396424293518},{"id":"https://openalex.org/keywords/intra-frame","display_name":"Intra-frame","score":0.44642212986946106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43450629711151123},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.3909071981906891},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3372092843055725},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.32785764336586},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22247323393821716},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.11806538701057434},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07875725626945496},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0656973123550415}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6970267295837402},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6363939046859741},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.617057740688324},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5209727883338928},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.5013151168823242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5005323886871338},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.4912523627281189},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.4519396424293518},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.44642212986946106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43450629711151123},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3909071981906891},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3372092843055725},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.32785764336586},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22247323393821716},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.11806538701057434},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07875725626945496},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0656973123550415},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2018.8461970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:102783","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1500750868","https://openalex.org/W2003726094","https://openalex.org/W2039760575","https://openalex.org/W2061071026","https://openalex.org/W2063170708","https://openalex.org/W2105869895","https://openalex.org/W2116329658","https://openalex.org/W2249152912","https://openalex.org/W2407574721","https://openalex.org/W2526062435","https://openalex.org/W2540658878","https://openalex.org/W2791180045","https://openalex.org/W6630080651","https://openalex.org/W6651485360","https://openalex.org/W6665656524","https://openalex.org/W6666246357","https://openalex.org/W6675736795","https://openalex.org/W6677019460"],"related_works":["https://openalex.org/W2149600693","https://openalex.org/W1965479822","https://openalex.org/W2141492131","https://openalex.org/W2350205303","https://openalex.org/W2080715432","https://openalex.org/W1999073813","https://openalex.org/W1997182718","https://openalex.org/W2112402826","https://openalex.org/W2330975557","https://openalex.org/W2119096772"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,87,94,129],"rate":[4,40,112,133,144],"control":[5],"(RC)":[6],"algorithm":[7,65,104,119],"for":[8],"intra-coded":[9,97],"sequences":[10,98],"(I-frames)":[11],"within":[12,49],"the":[13,27,39,50,56,59,69,78,101,108,116,136,147],"context":[14],"of":[15,26,31,45,58,96,124],"block-based":[16],"predictive":[17],"transform":[18],"coding":[19],"(PTC)":[20],"that":[21,100],"employs":[22,36],"piecewise":[23],"linear":[24],"approximations":[25],"rate-distortion":[28],"(RD)":[29],"curve":[30],"each":[32,126],"frame.":[33],"Specifically,":[34],"it":[35],"information":[37],"about":[38],"(R)":[41],"and":[42,75],"distortion":[43],"(D)":[44],"already":[46],"compressed":[47],"blocks":[48],"current":[51,79,117],"frame":[52],"to":[53,135],"linearly":[54],"approximate":[55],"slope":[57],"corresponding":[60],"RD":[61],"curve.":[62],"The":[63],"proposed":[64,102],"is":[66,84,121],"implemented":[67],"in":[68],"High-Efficiency":[70],"Video":[71],"Coding":[72],"(HEVC)":[73],"standard":[74],"compared":[76],"with":[77],"HEVC":[80],"RC":[81,103,118],"algorithm,":[82],"which":[83],"based":[85],"on":[86,93],"trained":[88],"rate-lambda":[89],"(R-\u03bb)":[90],"model.":[91],"Evaluations":[92],"variety":[95],"show":[99],"not":[105],"only":[106],"attains":[107],"overall":[109,137],"target":[110],"bit":[111,132,138,143],"more":[113,130],"accurately":[114],"than":[115],"but":[120],"also":[122],"capable":[123],"encoding":[125],"I-frame":[127],"at":[128],"constant":[131],"according":[134],"budget,":[139],"thus":[140],"avoiding":[141],"high":[142],"fluctuations":[145],"across":[146],"sequence.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}