{"id":"https://openalex.org/W2025394713","doi":"https://doi.org/10.1109/icip.2014.7025758","title":"Adaptive cross-component prediction for 4:4:4 high efficiency video coding","display_name":"Adaptive cross-component prediction for 4:4:4 high efficiency video coding","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2025394713","doi":"https://doi.org/10.1109/icip.2014.7025758","mag":"2025394713"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5023538300","display_name":"Ali Khairat","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ali Khairat","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704003","display_name":"Tung Nguyen","orcid":"https://orcid.org/0000-0002-7429-4932"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tung Nguyen","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083069091","display_name":"Mischa Siekmann","orcid":"https://orcid.org/0000-0003-0405-1852"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mischa Siekmann","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083836367","display_name":"Detlev Marpe","orcid":"https://orcid.org/0000-0002-5391-3247"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Detlev Marpe","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034084717","display_name":"Thomas Wiegand","orcid":"https://orcid.org/0000-0002-1121-2581"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wiegand","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Image Processing Department, Einsteinufer 37, D-10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":2.3172,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88782593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":null,"first_page":"3734","last_page":"3738"},"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":0.9990000128746033,"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":0.9984999895095825,"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/residual","display_name":"Residual","score":0.7277313470840454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6575126647949219},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5876694917678833},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4986748695373535},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4955335855484009},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46531084179878235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45610836148262024},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.42863017320632935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3279244899749756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3200552463531494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2683030962944031},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24559161067008972},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1368945837020874}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7277313470840454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6575126647949219},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5876694917678833},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4986748695373535},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4955335855484009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46531084179878235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45610836148262024},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.42863017320632935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3279244899749756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3200552463531494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2683030962944031},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24559161067008972},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1368945837020874},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2014.7025758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.692.9424","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.9424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nguyen.ph/wp-content/uploads/2014/12/CCP-ICIP-2014-preprint.pdf","raw_type":"text"},{"id":"pmh:oai:publica.fraunhofer.de:publica/387427","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/387427","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6100000143051147,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1590915775","https://openalex.org/W1838550990","https://openalex.org/W1984451638","https://openalex.org/W2011612662","https://openalex.org/W2043292349","https://openalex.org/W2044470449","https://openalex.org/W2093426164","https://openalex.org/W2101700394","https://openalex.org/W2129768577","https://openalex.org/W2146395539","https://openalex.org/W6661516809"],"related_works":["https://openalex.org/W3009161491","https://openalex.org/W2403124343","https://openalex.org/W2018760684","https://openalex.org/W2735437354","https://openalex.org/W1579233721","https://openalex.org/W4254232196","https://openalex.org/W2908833932","https://openalex.org/W2242376282","https://openalex.org/W2800164157","https://openalex.org/W2560965210"],"abstract_inverted_index":{"The":[0],"work":[1],"on":[2,83,92,124],"support":[3],"for":[4,17,98,144],"higher":[5],"bit":[6],"depths":[7],"and":[8,106,149],"4:2:2":[9],"as":[10,12,53,60],"well":[11],"4:4:4":[13,46],"chroma":[14,47],"sampling":[15,48],"formats":[16],"the":[18,30,39,63,84,101,104,112,115,125,133],"High":[19],"Efficiency":[20],"Video":[21],"Coding":[22],"(HEVC)":[23],"standard":[24],"is":[25,78,96],"currently":[26],"being":[27],"conducted":[28],"under":[29],"term":[31],"Range":[32],"Extensions":[33],"(RExt).":[34],"A":[35],"technique":[36],"that":[37,86],"exploits":[38],"correlation":[40],"between":[41],"residual":[42,113],"color":[43,108,117,127],"components":[44],"in":[45,132],"format,":[49],"also":[50],"referred":[51],"to":[52],"Cross-Component":[54],"Prediction":[55],"(CCP),":[56],"has":[57],"been":[58],"adopted":[59],"part":[61],"of":[62,100,103,114,135,147],"current":[64],"RExt":[65],"draft.":[66],"In":[67],"this":[68,70],"paper,":[69],"relatively":[71],"simple":[72],"but":[73],"yet":[74],"effective":[75],"CCP":[76,81,143],"scheme":[77],"presented.":[79],"Conceptually,":[80],"relies":[82],"idea":[85],"an":[87],"adaptively":[88],"switched":[89],"predictor":[90],"based":[91],"a":[93],"linear":[94],"model":[95],"invoked":[97],"coding":[99],"residuals":[102],"second":[105],"third":[107],"component":[109],"by":[110,142],"using":[111],"first":[116],"component.":[118],"Experimental":[119],"results":[120],"show":[121],"that,":[122],"depending":[123],"underlying":[126],"space,":[128],"average":[129],"bit-rate":[130],"savings":[131],"range":[134],"2-18%":[136],"or":[137],"3-26%":[138],"can":[139],"be":[140],"achieved":[141],"test":[145],"sets":[146],"natural":[148],"screen":[150],"content,":[151],"respectively.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}