{"id":"https://openalex.org/W2786397647","doi":"https://doi.org/10.1109/3dtv.2017.8280420","title":"A depth perception evaluation metric for immersive 3D video services","display_name":"A depth perception evaluation metric for immersive 3D video services","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2786397647","doi":"https://doi.org/10.1109/3dtv.2017.8280420","mag":"2786397647"},"language":"en","primary_location":{"id":"doi:10.1109/3dtv.2017.8280420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2017.8280420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","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/A5069216640","display_name":"G\u00f6k\u00e7e Nur Y\u0131lmaz","orcid":"https://orcid.org/0000-0002-0015-9519"},"institutions":[{"id":"https://openalex.org/I45642913","display_name":"K\u0131r\u0131kkale University","ror":"https://ror.org/01zhwwf82","country_code":"TR","type":"education","lineage":["https://openalex.org/I45642913"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Gokce Nur Yilmaz","raw_affiliation_strings":["Electrical and Electronics Engineering Department, Kirikkale University, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Department, Kirikkale University, Turkey","institution_ids":["https://openalex.org/I45642913"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069216640"],"corresponding_institution_ids":["https://openalex.org/I45642913"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74098729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"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":0.9939000010490417,"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":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7795448303222656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6994951963424683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5872102379798889},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.567009449005127},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5601060390472412},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4981355667114258},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.4818897843360901},{"id":"https://openalex.org/keywords/2d-to-3d-conversion","display_name":"2D to 3D conversion","score":0.45616015791893005},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4417419135570526},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.41471874713897705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3258657157421112},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10614606738090515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08065661787986755}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7795448303222656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6994951963424683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5872102379798889},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.567009449005127},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5601060390472412},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4981355667114258},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.4818897843360901},{"id":"https://openalex.org/C84824328","wikidata":"https://www.wikidata.org/wiki/Q4633097","display_name":"2D to 3D conversion","level":3,"score":0.45616015791893005},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4417419135570526},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.41471874713897705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3258657157421112},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10614606738090515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08065661787986755},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1109/3dtv.2017.8280420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2017.8280420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"},{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1973674417","https://openalex.org/W2059339694","https://openalex.org/W2072831316","https://openalex.org/W2075509518","https://openalex.org/W2088309457","https://openalex.org/W2114770744","https://openalex.org/W2121809595","https://openalex.org/W2125654704","https://openalex.org/W2504516599"],"related_works":["https://openalex.org/W2082709309","https://openalex.org/W1981739126","https://openalex.org/W1986056272","https://openalex.org/W36187127","https://openalex.org/W2044147530","https://openalex.org/W2741636507","https://openalex.org/W2605482345","https://openalex.org/W2142471769","https://openalex.org/W2944331825","https://openalex.org/W2131909162"],"abstract_inverted_index":{"Burgeoning":[0],"advances":[1],"in":[2,45,90,99,154],"3":[3],"Dimensional":[4],"(3D)":[5],"video":[6,25,43,191],"services":[7],"provide":[8],"a":[9,51],"big":[10],"leap":[11],"on":[12],"the":[13,16,60,78,85,91,100,103,108,111,117,132,147,152,155,160,176,181,184],"proliferation":[14,32],"of":[15,27,77,102,159,175,183],"investigations":[17],"for":[18,72,116,187],"developing":[19],"reliable":[20],"and":[21,63,168],"competent":[22],"perceptual":[23],"3D":[24,42,79,190],"Quality":[26],"Experience":[28],"(QoE)":[29],"metrics.":[30],"This":[31],"can":[33],"only":[34],"be":[35],"supported":[36],"by":[37],"exploiting":[38],"key":[39],"features":[40,71],"characterizing":[41],"nature":[44],"these":[46],"investigations.":[47],"In":[48,81],"this":[49,126],"paper,":[50],"Reduced":[52],"Reference":[53],"(RR)":[54],"metric":[55,134,141,179,186],"is":[56,97,128,143],"developed":[57],"considering":[58],"that":[59,110],"spatial":[61,166],"resolution":[62],"perceptually":[64,86,156],"significant":[65,87],"depth":[66,75,88,92,112,118,124,148,162,170],"level":[67],"are":[68],"two":[69],"effective":[70],"efficiently":[73],"evaluating":[74],"perception":[76,113,149],"video.":[80],"order":[82],"to":[83,107,145],"determine":[84],"levels":[89,158],"map":[93,119],"sequences,":[94],"abstraction":[95],"filter":[96],"exploited":[98],"development":[101],"proposed":[104,133,177,185],"metric.":[105],"Owing":[106],"fact":[109],"significantly":[114],"differs":[115],"sequences":[120],"having":[121,164],"dissimilar":[122,165],"relative":[123,169],"levels,":[125],"feature":[127],"also":[129],"incorporated":[130],"with":[131,151],"through":[135],"normalized":[136],"standard":[137],"deviation.":[138],"Structural":[139],"SIMilarity":[140],"(SSIM)":[142],"utilized":[144],"predict":[146],"degraded":[150],"change":[153],"important":[157],"compressed":[161],"maps":[163],"resolutions":[167],"levels.":[171],"The":[172],"performance":[173],"assessment":[174],"RR":[178],"proves":[180],"effectiveness":[182],"ensuring":[188],"immersive":[189],"services.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}