{"id":"https://openalex.org/W2032622619","doi":"https://doi.org/10.1109/vcip.2012.6410752","title":"Uniform probability model for deriving intra prediction angular table in High Efficiency Video Coding","display_name":"Uniform probability model for deriving intra prediction angular table in High Efficiency Video Coding","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2032622619","doi":"https://doi.org/10.1109/vcip.2012.6410752","mag":"2032622619"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2012.6410752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2012.6410752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Visual Communications and Image Processing","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/A5073392691","display_name":"Guichun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guichun Li","raw_affiliation_strings":["Department of Computer Engineering, Santa Clara University, U.S.A","Department of Computer Engineering, Santa Clara University, U. S. A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Santa Clara University, U.S.A","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Department of Computer Engineering, Santa Clara University, U. S. A","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349504","display_name":"Liu L","orcid":"https://orcid.org/0000-0001-9234-457X"},"institutions":[{"id":"https://openalex.org/I4210100005","display_name":"Silicon Technologies (United States)","ror":"https://ror.org/013qwzt07","country_code":"US","type":"company","lineage":["https://openalex.org/I4210100005"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingzhi Liu","raw_affiliation_strings":["HiSilicon Technologies Co., Ltd., Santa Clara, U.S.A"],"affiliations":[{"raw_affiliation_string":"HiSilicon Technologies Co., Ltd., Santa Clara, U.S.A","institution_ids":["https://openalex.org/I4210100005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Department of Computer Engineering, Santa Clara University, U.S.A","Department of Computer Engineering, Santa Clara University, U. S. A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Santa Clara University, U.S.A","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Department of Computer Engineering, Santa Clara University, U. S. A","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114723616","display_name":"Jianhua Zheng","orcid":"https://orcid.org/0000-0002-0830-4100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhua Zheng","raw_affiliation_strings":["HiSilicon Technologies Co., Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"HiSilicon Technologies Co., Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069730737","display_name":"Philipp Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philipp Zhang","raw_affiliation_strings":["HiSilicon Technologies Co., Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"HiSilicon Technologies Co., Ltd., Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073392691"],"corresponding_institution_ids":["https://openalex.org/I16269868"],"apc_list":null,"apc_paid":null,"fwci":0.2448,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53567755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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":0.996999979019165,"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":0.7128787040710449},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6927562952041626},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6850906610488892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4987032413482666},{"id":"https://openalex.org/keywords/coding-gain","display_name":"Coding gain","score":0.4825998544692993},{"id":"https://openalex.org/keywords/probability-model","display_name":"Probability model","score":0.4391999840736389},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.43305519223213196},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2648213505744934},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21432167291641235},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.19671091437339783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17784419655799866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128787040710449},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6927562952041626},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6850906610488892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4987032413482666},{"id":"https://openalex.org/C76862118","wikidata":"https://www.wikidata.org/wiki/Q1105671","display_name":"Coding gain","level":3,"score":0.4825998544692993},{"id":"https://openalex.org/C2984179964","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Probability model","level":2,"score":0.4391999840736389},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.43305519223213196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2648213505744934},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21432167291641235},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.19671091437339783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17784419655799866}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2012.6410752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2012.6410752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Visual Communications and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2101700394","https://openalex.org/W2107132774","https://openalex.org/W2112736309","https://openalex.org/W2276329208","https://openalex.org/W2979673094","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W3009161491","https://openalex.org/W2018760684","https://openalex.org/W2380956331","https://openalex.org/W2116936728","https://openalex.org/W2806397197","https://openalex.org/W2986238322","https://openalex.org/W1992296783","https://openalex.org/W2460818705","https://openalex.org/W2033101247","https://openalex.org/W1579233721"],"abstract_inverted_index":{"High":[0],"Efficiency":[1],"Video":[2],"Coding":[3],"(HEVC)":[4],"is":[5,62,75,119,139],"the":[6,17,36,53,73,82,110,127],"latest":[7],"international":[8],"standard":[9],"of":[10,20,39,69,112,146],"video":[11],"coding":[12,32],"under":[13],"development.":[14],"In":[15,52],"HEVC,":[16],"new":[18],"technology":[19],"intra":[21,37,48,152],"prediction,":[22],"Unified":[23],"Directional":[24],"Intra":[25],"(UDI),":[26],"has":[27],"shown":[28],"significant":[29,41],"improvement":[30,43,138],"on":[31,93],"performance.":[33],"Comparing":[34],"to":[35],"prediction":[38,118],"H.264/AVC,":[40],"performance":[42],"was":[44,77,107],"observed":[45],"for":[46,64,141],"all":[47,151],"configured":[49],"tests":[50],"[2].":[51],"HEVC":[54],"Test":[55],"Model":[56],"(HM),":[57],"a":[58,87,94],"predefined":[59],"angular":[60,103,129],"table":[61,74,104,113,130],"used":[63,115],"generating":[65],"predicted":[66],"sample":[67],"values":[68],"UDI.":[70],"However,":[71],"how":[72],"obtained":[76],"not":[78],"clearly":[79],"presented":[80],"in":[81,116,132,149],"literature.":[83],"This":[84],"paper":[85],"gives":[86],"detailed":[88],"derivation":[89,105],"and":[90,109,155],"explanation":[91],"based":[92],"novel":[95,101],"uniform":[96],"probability":[97],"model.":[98],"With":[99],"this":[100,133],"model,":[102],"method":[106],"investigated":[108],"selection":[111],"entries":[114],"UDI":[117],"well":[120],"explained.":[121],"Simulation":[122],"results":[123],"show":[124],"that":[125],"using":[126],"improved":[128],"proposed":[131],"paper,":[134],"Bj\u2298ntegaard":[135],"Delta":[136],"(BD)-rate":[137],"achieved":[140],"sequences":[142],"with":[143],"large":[144],"amount":[145],"various":[147],"textures,":[148],"both":[150],"high":[153],"efficiency":[154],"low":[156],"complexity":[157],"configurations.":[158]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}