{"id":"https://openalex.org/W2023342565","doi":"https://doi.org/10.1109/vcip.2011.6116013","title":"Fast intra mode selection for stereo video coding using epipolar constraint","display_name":"Fast intra mode selection for stereo video coding using epipolar constraint","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2023342565","doi":"https://doi.org/10.1109/vcip.2011.6116013","mag":"2023342565"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2011.6116013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6116013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","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/A5019945294","display_name":"Guolei Yang","orcid":"https://orcid.org/0000-0001-6318-5047"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolei Yang","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052554057","display_name":"Luhong Liang","orcid":"https://orcid.org/0009-0001-4190-006X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luhong Liang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, China","Key Lab of Intelligent Information Processing,Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab of Intelligent Information Processing,Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09497691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"pp","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.914374828338623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7769607901573181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730777025222778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6626864671707153},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6132915019989014},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6111583113670349},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.45077845454216003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17293301224708557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1031595766544342}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.914374828338623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7769607901573181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730777025222778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6626864671707153},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6132915019989014},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6111583113670349},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.45077845454216003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17293301224708557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1031595766544342},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2011.6116013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2011.6116013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2060497952","https://openalex.org/W2104915828","https://openalex.org/W2119260228","https://openalex.org/W2150400376","https://openalex.org/W2151654690"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W4251504644","https://openalex.org/W1721537561","https://openalex.org/W2369285629","https://openalex.org/W2123437433","https://openalex.org/W3094179683","https://openalex.org/W2737258383","https://openalex.org/W2101703235"],"abstract_inverted_index":{"Application":[0],"of":[1,25,51,56,153,177],"stereo":[2,18,46],"video":[3,19,47,168,188],"in":[4,66,170],"TV":[5],"industry":[6],"and":[7,132],"consumer":[8],"electronics":[9],"becomes":[10],"very":[11],"popular":[12],"recently.":[13],"Thus,":[14],"fast":[15,41,75],"algorithm":[16],"for":[17,45],"coding":[20,175],"is":[21,62,79,107,125,139,180],"highly":[22,64],"desired":[23],"because":[24],"its":[26],"huge":[27],"inter-view":[28,88],"computational":[29,84],"redundancy.":[30],"In":[31,70],"our":[32],"previous":[33],"work":[34],"we":[35],"proposed":[36,80,95,146],"an":[37,111],"epipolar":[38,92,120],"constraint":[39],"based":[40,90],"inter":[42],"mode":[43,60,77,113,138,154,160],"selection":[44,61,78,161],"using":[48],"motion":[49],"vector":[50],"blocks":[52],"as":[53],"a":[54,73,104],"indicator":[55],"similarity,":[57],"nevertheless,":[58],"intra":[59,76,112],"also":[63],"complex":[65],"standards":[67],"like":[68],"H.264/AVC.":[69],"this":[71],"paper,":[72],"practical":[74],"to":[81,109,128,158],"eliminate":[82],"the":[83,119,142,151,173],"redundancy":[85],"by":[86,162,182],"exploiting":[87],"dependency":[89],"on":[91,100,118,165,184],"constraint.":[93],"The":[94,122,145],"method":[96,147],"does":[97],"not":[98],"rely":[99],"disparity":[101],"estimation.":[102],"Instead,":[103],"sliding":[105],"window":[106],"employed":[108],"generate":[110],"candidate":[114,123,143],"pool":[115,124],"from":[116,141],"macro-blocks":[117],"line.":[121],"then":[126],"rectified":[127],"remove":[129],"invalid":[130],"modes":[131],"improve":[133],"accuracy.":[134],"Finally,":[135],"optimal":[136],"prediction":[137],"selected":[140],"pool.":[144],"can":[148],"significantly":[149],"reduce":[150],"number":[152],"candidates/prediction":[155],"directions":[156],"compared":[157],"exhaustive":[159],"79%.":[163],"Experiments":[164],"5":[166],"HD":[167],"coded":[169],"1-frame":[171],"demonstrate":[172],"overall":[174],"time":[176],"one":[178],"view":[179],"saved":[181],"56%":[183],"average,":[185],"with":[186],"slightly":[187],"quality":[189],"loss":[190],"less":[191],"than":[192],"0.1":[193],"dB.":[194]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}