{"id":"https://openalex.org/W2295489898","doi":"https://doi.org/10.1109/icip.2015.7351069","title":"Fast CU size decision and PU mode decision algorithm in HEVC intra coding","display_name":"Fast CU size decision and PU mode decision algorithm in HEVC intra coding","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295489898","doi":"https://doi.org/10.1109/icip.2015.7351069","mag":"2295489898"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018198094","display_name":"Xiwu Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwu Shang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101865727","display_name":"Guozhong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozhong Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103120972","display_name":"Tao Fan","orcid":"https://orcid.org/0000-0001-9081-8233"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Fan","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101748981","display_name":"Yan Li","orcid":"https://orcid.org/0000-0001-6461-9521"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1593","last_page":"1597"},"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":0.9988999962806702,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.7481780648231506},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.7091645002365112},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.6447752714157104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6176912188529968},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5793448686599731},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5472630262374878},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.5136620402336121},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.45816877484321594},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.41807985305786133},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3271743655204773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26865896582603455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16829219460487366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14751392602920532},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13870590925216675},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13369616866111755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481780648231506},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.7091645002365112},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.6447752714157104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6176912188529968},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5793448686599731},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5472630262374878},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.5136620402336121},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.45816877484321594},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.41807985305786133},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3271743655204773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26865896582603455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16829219460487366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14751392602920532},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13870590925216675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13369616866111755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2013875322","https://openalex.org/W2039760575","https://openalex.org/W2043101517","https://openalex.org/W2047745311","https://openalex.org/W2088347497","https://openalex.org/W2129871326"],"related_works":["https://openalex.org/W2403124343","https://openalex.org/W1987778158","https://openalex.org/W4362519939","https://openalex.org/W2010408989","https://openalex.org/W2613214950","https://openalex.org/W4380629648","https://openalex.org/W2108288699","https://openalex.org/W2551340648","https://openalex.org/W4388069711","https://openalex.org/W2072993124"],"abstract_inverted_index":{"High":[0],"Efficiency":[1],"Video":[2],"Coding":[3,40],"(HEVC)":[4],"is":[5,58],"a":[6,46],"new":[7],"video":[8,14],"compression":[9],"standard":[10],"for":[11,36,60],"high":[12,31],"resolution":[13],"content,":[15],"which":[16,109],"only":[17,138],"needs":[18],"50%":[19],"bit":[20],"rate":[21],"of":[22,69],"the":[23,26,66,88,114,121,134],"H.264/AVC":[24],"at":[25],"same":[27],"perceptual":[28],"quality.":[29],"However,":[30],"computational":[32,127],"complexity":[33,128],"increases":[34],"dramatically":[35],"adopting":[37],"quad-tree":[38],"structured":[39],"Unit":[41,53],"(CU).":[42],"In":[43],"this":[44],"paper,":[45],"fast":[47],"CU":[48,76,80],"size":[49],"decision":[50,56,78],"and":[51,93,143],"Prediction":[52],"(PU)":[54],"mode":[55,92,96],"algorithm":[57],"presented":[59],"HEVC":[61],"intra":[62],"coding.":[63],"It":[64],"exploits":[65],"depth":[67],"information":[68],"neighboring":[70],"CUs":[71],"to":[72],"make":[73],"an":[74],"early":[75],"split":[77],"or":[79],"pruning":[81],"decision.":[82],"Moreover,":[83],"there":[84],"are":[85,110],"correlations":[86],"between":[87],"higher":[89],"layer":[90,95],"prediction":[91,107],"current":[94,135],"in":[97,141,147],"PUs.":[98],"By":[99],"using":[100],"these":[101],"correlations,":[102],"we":[103],"can":[104,124],"terminate":[105],"some":[106],"modes":[108],"rarely":[111],"selected":[112],"as":[113,131],"optimal":[115],"mode.":[116],"Experimental":[117],"results":[118],"illustrate":[119],"that":[120],"proposed":[122],"method":[123],"save":[125],"37.91%":[126],"on":[129],"average":[130],"compared":[132],"with":[133,137],"HM":[136],"0.66%":[139],"increase":[140],"BDBR":[142],"0.03":[144],"dB":[145],"loss":[146],"BDPSNR.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
