{"id":"https://openalex.org/W2105771047","doi":"https://doi.org/10.1109/tcsvt.2010.2087511","title":"Intra Coding With Prediction Mode Information Inference","display_name":"Intra Coding With Prediction Mode Information Inference","publication_year":2010,"publication_date":"2010-10-19","ids":{"openalex":"https://openalex.org/W2105771047","doi":"https://doi.org/10.1109/tcsvt.2010.2087511","mag":"2105771047"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2010.2087511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2010.2087511","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/A5077222218","display_name":"Guillaume Laroche","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Guillaume Laroche","raw_affiliation_strings":["Telecom ParisTech Paris and Orange Laboratories, France"],"affiliations":[{"raw_affiliation_string":"Telecom ParisTech Paris and Orange Laboratories, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037403050","display_name":"Jo\u00ebl Jung","orcid":"https://orcid.org/0000-0002-3878-6454"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joel Jung","raw_affiliation_strings":["Orange Laboratories, Issy-les-Moulineaux, France"],"affiliations":[{"raw_affiliation_string":"Orange Laboratories, Issy-les-Moulineaux, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106469946","display_name":"B\u00e9atrice Pesquet\u2010Popescu","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Beatrice Pesquet-Popescu","raw_affiliation_strings":["Telecom ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077222218"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":0.6743,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70289197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"12","first_page":"1786","last_page":"1796"},"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":0.996399998664856,"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":0.9950000047683716,"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":0.6447829604148865},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6282095909118652},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49845314025878906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48384323716163635},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4539570212364197},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.45312926173210144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3482183814048767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33349794149398804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2761669158935547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.263036847114563},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2504196763038635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6447829604148865},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6282095909118652},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49845314025878906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48384323716163635},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4539570212364197},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.45312926173210144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3482183814048767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33349794149398804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2761669158935547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.263036847114563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2504196763038635},{"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.2010.2087511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2010.2087511","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1603740236","https://openalex.org/W1967702638","https://openalex.org/W1997199051","https://openalex.org/W2000094687","https://openalex.org/W2036320905","https://openalex.org/W2103833468","https://openalex.org/W2133300853","https://openalex.org/W2139048686","https://openalex.org/W2140384061","https://openalex.org/W2146646643","https://openalex.org/W2160683467","https://openalex.org/W2169161136","https://openalex.org/W3140103152","https://openalex.org/W6635997129","https://openalex.org/W6642250372","https://openalex.org/W6680235562"],"related_works":["https://openalex.org/W3009161491","https://openalex.org/W2018760684","https://openalex.org/W2380956331","https://openalex.org/W2116936728","https://openalex.org/W2986238322","https://openalex.org/W1992296783","https://openalex.org/W2460818705","https://openalex.org/W2033101247","https://openalex.org/W1579233721","https://openalex.org/W2392988872"],"abstract_inverted_index":{"In":[0,97],"a":[1,8,103,138],"typical":[2],"competition-based":[3],"coding,":[4],"the":[5,22,29,40,44,54,70,74,85,89,107,117,125,128,131],"pertinence":[6],"of":[7,43,56,84,92,127,143],"prediction":[9],"mode":[10],"does":[11],"not":[12],"only":[13],"depend":[14],"on":[15,21,48],"its":[16],"own":[17],"efficiency":[18],"but":[19],"also":[20],"fact":[23],"that":[24,59],"it":[25,51],"is":[26,110],"complementary":[27],"with":[28],"other":[30],"modes.":[31],"The":[32,121],"method":[33,104,123],"proposed":[34,111,122],"in":[35,77,130,134],"this":[36,49,101],"paper":[37],"to":[38,73,82,99,112,136],"improve":[39],"intra":[41,78,118],"coding":[42,79],"H.264/AVC":[45],"standard":[46,93],"relies":[47],"remark;":[50],"shows":[52],"how":[53],"cost":[55],"signaling":[57,76],"predictors":[58,115,129],"are":[60],"quite":[61],"similar":[62],"can":[63],"be":[64],"avoided.":[65],"Indeed,":[66],"at":[67,106],"low":[68],"bitrates,":[69],"information":[71],"related":[72],"predictor":[75,119],"reaches":[80],"up":[81],"25%":[83],"total":[86],"bitrate":[87],"for":[88],"whole":[90],"set":[91,142],"VCEG":[94],"test":[95],"sequences.":[96],"order":[98,135],"reduce":[100],"cost,":[102],"reproducible":[105],"decoder":[108],"side":[109],"eliminate":[113],"some":[114],"from":[116],"set.":[120],"exploits":[124],"proximity":[126],"transform":[132],"domain":[133],"obtain":[137],"representative":[139],"and":[140],"non-redundant":[141],"predictors.":[144]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}