{"id":"https://openalex.org/W2029704104","doi":"https://doi.org/10.1109/globalsip.2014.7032282","title":"Quality assessment of synthesized 3D video with distorted depth map","display_name":"Quality assessment of synthesized 3D video with distorted depth map","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2029704104","doi":"https://doi.org/10.1109/globalsip.2014.7032282","mag":"2029704104"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5027185851","display_name":"Hsin-Che Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsin-Che Liu","raw_affiliation_strings":["Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan","Department of Electronics Engineering; National Chiao Tung University; Hsinchu Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electronics Engineering; National Chiao Tung University; Hsinchu Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033363752","display_name":"Hsueh\u2010Ming Hang","orcid":"https://orcid.org/0000-0001-8965-2619"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsueh-Ming Hang","raw_affiliation_strings":["Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan","Department of Electronics Engineering; National Chiao Tung University; Hsinchu Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electronics Engineering; National Chiao Tung University; Hsinchu Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027185851"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0959571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1054","last_page":"1057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":0.9987999796867371,"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":0.9979000091552734,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8028775453567505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7626456022262573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7502469420433044},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5927218198776245},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.587837278842926},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5712763667106628},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5282889008522034},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.46521806716918945},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.46230757236480713},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44438910484313965},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.43539929389953613},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3695552349090576},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32337677478790283},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21491852402687073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19434332847595215}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8028775453567505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7626456022262573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7502469420433044},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5927218198776245},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.587837278842926},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5712763667106628},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5282889008522034},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.46521806716918945},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.46230757236480713},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44438910484313965},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.43539929389953613},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3695552349090576},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32337677478790283},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21491852402687073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19434332847595215},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2014.7032282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1555614281","https://openalex.org/W1994685695","https://openalex.org/W2000518209","https://openalex.org/W2007194391","https://openalex.org/W2007817642","https://openalex.org/W2014264154","https://openalex.org/W2040617105","https://openalex.org/W2046119925","https://openalex.org/W2071795107","https://openalex.org/W2073812468","https://openalex.org/W2102059872","https://openalex.org/W2125654704","https://openalex.org/W2132549992","https://openalex.org/W2133665775","https://openalex.org/W2165222134","https://openalex.org/W2248599718","https://openalex.org/W6691357525"],"related_works":["https://openalex.org/W2159108676","https://openalex.org/W2993409993","https://openalex.org/W2164283051","https://openalex.org/W2152799998","https://openalex.org/W2397446807","https://openalex.org/W2111081960","https://openalex.org/W2572371791","https://openalex.org/W2119274210","https://openalex.org/W2144548468","https://openalex.org/W2130273794"],"abstract_inverted_index":{"In":[0,94],"the":[1,8,13,21,25,36,41,49,60,71,91,106,115,134,137,142,148,173,181],"virtual-view":[2],"3D":[3],"video":[4,51],"coding":[5],"system,":[6],"both":[7],"RGB":[9],"image":[10,111],"data":[11],"and":[12,18,30,52,86,118,124],"depth":[14,26,46,72,76,119],"maps":[15,27,47],"are":[16,28],"compressed":[17,45],"translated":[19],"to":[20,69,80,104,127,132,146,172],"receivers.":[22],"After":[23],"compression,":[24],"distorted":[29,75],"may":[31,78],"cause":[32],"visible":[33],"artifacts":[34,82],"on":[35,48,90],"synthesized":[37,50,92],"video.":[38,93],"We":[39,63,140,153],"study":[40],"visual":[42],"effect":[43],"of":[44,109,121,136,150,161],"develop":[53],"a":[54,129,169],"quality":[55,97],"assessment":[56,98],"model":[57,145,167],"that":[58,165],"predicts":[59],"subjective":[61,157,174],"quality.":[62],"use":[64,102,141],"HEVC":[65],"Test":[66],"Model":[67],"(HTM)":[68],"compress":[70],"maps.":[73],"The":[74,159],"value":[77],"lead":[79],"ghost":[81],"around":[83],"object":[84,88],"edges":[85],"unnatural":[87],"motion":[89],"our":[95,155,162,166],"proposed":[96],"(QA)":[99],"model,":[100],"we":[101,113],"SSIM":[103],"compute":[105],"basic":[107],"score":[108,149],"stereo":[110,122,151],"pair;":[112],"extract":[114],"edge,":[116],"motion,":[117],"features":[120],"pairs":[123],"combine":[125],"them":[126],"form":[128],"local":[130],"weight":[131],"increase":[133],"sensitivity":[135],"noticeable":[138],"regions.":[139],"binocular":[143],"perception":[144],"calculate":[147],"pairs.":[152],"conduct":[154],"own":[156],"tests.":[158],"results":[160],"experiments":[163],"show":[164],"has":[168],"better":[170],"match":[171],"scores":[175],"when":[176],"it":[177],"is":[178],"compared":[179],"with":[180],"other":[182],"existing":[183],"metrics.":[184]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
