{"id":"https://openalex.org/W2019538044","doi":"https://doi.org/10.1117/12.2008355","title":"A survey on 3D quality of experience and 3D quality assessment","display_name":"A survey on 3D quality of experience and 3D quality assessment","publication_year":2013,"publication_date":"2013-03-14","ids":{"openalex":"https://openalex.org/W2019538044","doi":"https://doi.org/10.1117/12.2008355","mag":"2019538044"},"language":"en","primary_location":{"id":"doi:10.1117/12.2008355","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2008355","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5016802260","display_name":"Anush K. Moorthy","orcid":null},"institutions":[{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anush K. Moorthy","raw_affiliation_strings":["Texas Instruments Inc. (United States)","Texas Instruments Incorporated, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Instruments Inc. (United States)","institution_ids":["https://openalex.org/I74760111"]},{"raw_affiliation_string":"Texas Instruments Incorporated, United States","institution_ids":["https://openalex.org/I74760111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan C. Bovik","raw_affiliation_strings":["The Univ. of Texas at Austin (United States)","the University of Texas at Austin, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at Austin (United States)","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"the University of Texas at Austin, United States","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5328,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94926563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8651","issue":null,"first_page":"86510M","last_page":"86510M"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9921000003814697,"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":0.9908000230789185,"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":0.8555805683135986},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6801053881645203},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.5805501341819763},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5423994064331055},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.466946005821228},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.44546687602996826},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.41151589155197144},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3727731704711914},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3437761962413788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3340874910354614},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.15272915363311768}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8555805683135986},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6801053881645203},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.5805501341819763},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5423994064331055},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.466946005821228},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44546687602996826},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41151589155197144},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3727731704711914},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3437761962413788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3340874910354614},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.15272915363311768},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2008355","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2008355","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W3203087560","https://openalex.org/W2466958844","https://openalex.org/W2804751933","https://openalex.org/W2245293081","https://openalex.org/W1973829424","https://openalex.org/W3209787365","https://openalex.org/W4311304958","https://openalex.org/W1963681152","https://openalex.org/W4287019296"],"abstract_inverted_index":{"The":[0,25],"field":[1,86,105],"of":[2,8,27,36,50,64,71,75,87,89,106,139,167],"algorithmically":[3],"assessing":[4],"the":[5,28,40,48,65,69,85,104,128,144,151,168],"3D":[6,11,37,45,51,72,146],"quality":[7,12,74,78,88,107,153],"experience":[9,76,90],"and/or":[10],"is":[13,150],"an":[14],"extremely":[15],"challenging":[16],"one;":[17],"making":[18],"it":[19],"a":[20,61,100,136,140,173],"fertile":[21],"ground":[22],"for":[23,130,165],"research.":[24],"complexity":[26],"problem,":[29],"coupled":[30],"with":[31,135,159],"our":[32],"yet":[33],"nascent":[34],"understanding":[35],"perception":[38],"and":[39,55,77,97,121],"increasing":[41],"commercial":[42],"shift":[43],"toward":[44],"entertainment":[46],"makes":[47],"area":[49,70],"QA":[52],"interesting,":[53],"formidable":[54],"practically":[56],"relevant.":[57],"This":[58],"article":[59],"undertakes":[60],"brief":[62],"review":[63,82,102],"recent":[66,141],"research":[67],"in":[68,84,103,127],"visual":[73,94],"assessment.":[79],"We":[80,118,133],"first":[81,152],"literature":[83,129],"which":[91,109,156],"encompasses":[92,110],"geometry,":[93],"discomfort":[95],"etc.,":[96],"then":[98],"perform":[99],"similar":[101],"assessment":[108,154],"distortions":[111],"such":[112],"as":[113],"blur,":[114],"noise,":[115],"compression":[116],"etc.":[117],"describe":[119],"algorithms":[120],"databases":[122],"that":[123,149],"have":[124],"been":[125],"proposed":[126],"these":[131],"purposes.":[132],"conclude":[134],"short":[137],"description":[138],"resource":[142],"-":[143],"LIVE":[145],"IQA":[147],"database":[148,155],"provides":[157],"researchers":[158],"access":[160],"to":[161],"true":[162],"depth":[163],"information":[164],"each":[166],"stereo":[169],"pairs":[170],"obtained":[171],"from":[172],"high-precision":[174],"range":[175],"scanner.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}