{"id":"https://openalex.org/W2280560006","doi":"https://doi.org/10.1109/ic3d.2015.7391821","title":"Perception aware coding of stereoscopic video","display_name":"Perception aware coding of stereoscopic video","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2280560006","doi":"https://doi.org/10.1109/ic3d.2015.7391821","mag":"2280560006"},"language":"en","primary_location":{"id":"doi:10.1109/ic3d.2015.7391821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2015.7391821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on 3D Imaging (IC3D)","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/A5065227291","display_name":"Maryam Homayouni","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Maryam Homayouni","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003455870","display_name":"Payman Aflaki","orcid":null},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Payman Aflaki","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044816664","display_name":"Miska M. Hannuksela","orcid":"https://orcid.org/0000-0003-3405-0850"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Miska M. Hannuksela","raw_affiliation_strings":["Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5799,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69549715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"13","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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":0.9993000030517578,"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":0.819046139717102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7542412281036377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6188888549804688},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6023457646369934},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5687103271484375},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5081419944763184},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.48713013529777527},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.48625290393829346},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.48112455010414124},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.47926899790763855},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47739356756210327},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4509279131889343},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4506415128707886},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.44086652994155884},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4327492117881775},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.2932402193546295},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.23980802297592163},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11524128913879395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07611083984375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07189610600471497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819046139717102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7542412281036377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6188888549804688},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6023457646369934},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5687103271484375},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5081419944763184},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.48713013529777527},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.48625290393829346},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.48112455010414124},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.47926899790763855},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47739356756210327},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4509279131889343},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4506415128707886},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.44086652994155884},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4327492117881775},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2932402193546295},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.23980802297592163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11524128913879395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07611083984375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07189610600471497},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3d.2015.7391821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2015.7391821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on 3D Imaging (IC3D)","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":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W85152245","https://openalex.org/W2036943946","https://openalex.org/W2052635379","https://openalex.org/W2060157722","https://openalex.org/W2095407248","https://openalex.org/W2101700394","https://openalex.org/W2102388230","https://openalex.org/W2111935042","https://openalex.org/W2122896223","https://openalex.org/W2140199336","https://openalex.org/W2142536989","https://openalex.org/W2146395539","https://openalex.org/W2158035503","https://openalex.org/W4211165038","https://openalex.org/W4252684946","https://openalex.org/W7017628706"],"related_works":["https://openalex.org/W2187171999","https://openalex.org/W2905230337","https://openalex.org/W2095192155","https://openalex.org/W2460761997","https://openalex.org/W3009101410","https://openalex.org/W37189869","https://openalex.org/W2032827369","https://openalex.org/W2099031831","https://openalex.org/W1505485478","https://openalex.org/W195088635"],"abstract_inverted_index":{"The":[0,67,93,117,159],"bandwidth":[1,23],"and":[2,8,24,154,205],"storage":[3],"restrictions":[4],"of":[5,47,64,73,80,89,108,185,201,209],"consumer":[6],"devices":[7],"conventional":[9],"delivery":[10],"infrastructures":[11],"on":[12],"stereoscopic":[13,65,90],"3D":[14,142],"video":[15],"require":[16],"efficient":[17],"compression":[18],"methods":[19],"to":[20,59,77,83,102,150,203],"save":[21],"the":[22,26,30,39,61,71,86,121,136,141,145,151,177,182,186,192],"preserve":[25],"perceptive":[27],"quality":[28,41,63,171,184],"at":[29],"same":[31],"time.":[32],"Compression":[33],"efficiency":[34],"is":[35,57,115,119,173],"actually":[36],"determined":[37],"as":[38],"visual":[40,75,137],"achieved":[42],"for":[43,106],"a":[44,52,97,196],"certain":[45],"amount":[46],"bitrate.":[48],"In":[49,180],"this":[50],"paper,":[51],"perception":[53],"aware":[54],"coding":[55],"scheme":[56,161],"proposed":[58,68,160,178],"improve":[60],"perceived":[62,183],"video.":[66],"method":[69],"exploits":[70],"sensitivity":[72],"human":[74],"system":[76],"perceptual":[78,87],"characteristics":[79],"texture":[81],"video,":[82,143],"further":[84],"remove":[85],"redundancy":[88],"image":[91,127],"pair.":[92],"macro":[94,123],"blocks":[95,124],"within":[96,125],"frame":[98],"are":[99,147],"classified":[100],"according":[101],"their":[103,155],"overall":[104],"brightness,":[105],"each":[107],"which":[109],"an":[110,126,207],"adaptive":[111],"local":[112],"quantization":[113],"parameter":[114],"selected.":[116],"idea":[118],"that":[120,169],"darker":[122],"can":[128],"be":[129],"compressed":[130],"with":[131,206],"higher":[132],"ratio":[133],"without":[134],"sacrificing":[135],"quality,":[138],"especially":[139],"in":[140,157],"where":[144],"viewers":[146],"more":[148],"attracted":[149],"pop-out":[152],"regions":[153],"motion":[156],"depth.":[158],"has":[162],"been":[163],"evaluated":[164],"by":[165,175],"subjective":[166],"testing,":[167],"confirming":[168],"no":[170],"degradation":[172],"introduced":[174],"deploying":[176],"method.":[179],"fact":[181],"stereo":[187],"content":[188],"remains":[189],"intact,":[190],"while":[191],"objective":[193],"measurements":[194],"show":[195],"Bjontegaard":[197],"delta":[198],"bitrate":[199],"reduction":[200],"up":[202],"37.83%":[204],"average":[208],"27.27%.":[210]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}