{"id":"https://openalex.org/W1994916416","doi":"https://doi.org/10.1109/vcip.2012.6410818","title":"Optimal intra coding of HEVC by structured set prediction mode with discriminative learning","display_name":"Optimal intra coding of HEVC by structured set prediction mode with discriminative learning","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W1994916416","doi":"https://doi.org/10.1109/vcip.2012.6410818","mag":"1994916416"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2012.6410818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2012.6410818","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":"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/A5045342512","display_name":"Wenrui Dai","orcid":"https://orcid.org/0000-0003-2522-5778"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Dai","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002494284","display_name":"Hongkai Xiong","orcid":"https://orcid.org/0000-0003-4552-0029"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Xiong","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9991000294685364,"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":0.9983999729156494,"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":0.6611201763153076},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6105464100837708},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5704888105392456},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5317510366439819},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4263761639595032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4048049747943878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3509390950202942},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3100826144218445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2855375111103058},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17125803232192993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611201763153076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6105464100837708},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5704888105392456},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5317510366439819},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4263761639595032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4048049747943878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3509390950202942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3100826144218445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2855375111103058},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17125803232192993}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2012.6410818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2012.6410818","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":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1983210329","https://openalex.org/W2097826433","https://openalex.org/W2100429654","https://openalex.org/W2101700394","https://openalex.org/W2106219841","https://openalex.org/W2112736309","https://openalex.org/W2127295759","https://openalex.org/W2140199336","https://openalex.org/W2165101139","https://openalex.org/W2276329208","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"novel":[4],"model":[5,77,93,141,189],"on":[6,44],"intra-coding":[7],"for":[8,22,39,67],"high":[9],"efficiency":[10],"video":[11],"coding":[12,193,201],"(HEVC),":[13],"which":[14,64],"can":[15],"simultaneously":[16],"make":[17,55],"the":[18,35,40,50,56,61,86,90,99,104,109,114,118,122,130,139,143,147,153,157,175,179,187],"set":[19,75,133,148],"of":[20,24,132,134,146,149,160,200,205],"prediction":[21,42,57,76,88,120,150,165],"block":[23],"pixels":[25],"in":[26,89,203],"an":[27],"optimal":[28,41],"rate-distortion":[29],"sense.":[30],"It":[31],"not":[32],"only":[33],"utilizes":[34],"spatial":[36],"statistical":[37],"correlation":[38],"based":[43],"2-D":[45],"contexts,":[46],"but":[47],"also":[48],"formulates":[49],"data-driven":[51],"structural":[52],"interdependencies":[53],"to":[54,82,108,128,156,169],"error":[58,166,177],"coherent":[59],"with":[60],"probability":[62,158],"distribution":[63,159],"is":[65,125,167],"favorable":[66],"subsequent":[68,161],"transform":[69],"and":[70,84,194],"coding.":[71],"The":[72,92,164],"so-called":[73],"structured":[74],"incorporates":[78],"max-margin":[79],"Markov":[80,123],"network":[81,124],"regulate":[83],"reason":[85],"multiple":[87],"blocks.":[91],"parameters":[94],"are":[95],"learned":[96],"by":[97,151,174],"discriminating":[98],"actual":[100],"pixel":[101],"value":[102],"from":[103,113],"other":[105],"possible":[106],"estimates":[107],"maximal":[110],"margin.":[111],"Distinguished":[112],"existing":[115],"methods":[116],"concerning":[117],"minimal":[119],"error,":[121],"adaptively":[126],"derived":[127],"maintain":[129],"coherence":[131],"prediction.":[135],"To":[136],"be":[137,170],"concrete,":[138],"proposed":[140,188],"seeks":[142],"concurrent":[144],"optimization":[145],"relating":[152],"loss":[154,181],"function":[155],"DCT":[162],"coefficients.":[163],"demonstrated":[168],"asymptotically":[171],"upper":[172],"bounded":[173],"training":[176],"under":[178],"decomposable":[180],"function.":[182],"For":[183],"validation,":[184],"we":[185],"integrate":[186],"into":[190],"HEVC":[191],"intra":[192],"experimental":[195],"results":[196],"show":[197],"obvious":[198],"improvement":[199],"performance":[202],"terms":[204],"BD-rate.":[206]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
