{"id":"https://openalex.org/W2089234177","doi":"https://doi.org/10.1109/icip.2010.5649402","title":"A perceptual quality metric for stereoscopic crosstalk perception","display_name":"A perceptual quality metric for stereoscopic crosstalk perception","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2089234177","doi":"https://doi.org/10.1109/icip.2010.5649402","mag":"2089234177"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5649402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5649402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5103137651","display_name":"Liyuan Xing","orcid":"https://orcid.org/0000-0002-6266-1416"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Liyuan Xing","raw_affiliation_strings":["Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052816488","display_name":"Junyong You","orcid":"https://orcid.org/0000-0002-4288-5244"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Junyong You","raw_affiliation_strings":["Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082188773","display_name":"Touradj Ebrahimi","orcid":"https://orcid.org/0000-0002-9900-3687"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Touradj Ebrahimi","raw_affiliation_strings":["Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054243340","display_name":"Andrew Perkis","orcid":"https://orcid.org/0000-0003-1414-2870"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Andrew Perkis","raw_affiliation_strings":["Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Centre of Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Centre for Quantifiable Quality of Service in Communication Systems (Q2S)i, Norwegian University of Science and Technology (NTNU), Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103137651"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":5.4181,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96294288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4033","last_page":"4036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9926999807357788,"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/stereoscopy","display_name":"Stereoscopy","score":0.9068799018859863},{"id":"https://openalex.org/keywords/crosstalk","display_name":"Crosstalk","score":0.7689277529716492},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.7040524482727051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865504384040833},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6710547208786011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.644483208656311},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6212606430053711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.614970862865448},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5412011742591858},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4829768240451813},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4674051105976105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19855129718780518},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12671399116516113},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11615541577339172},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09411796927452087},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07017627358436584}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.9068799018859863},{"id":"https://openalex.org/C169822122","wikidata":"https://www.wikidata.org/wiki/Q230187","display_name":"Crosstalk","level":2,"score":0.7689277529716492},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7040524482727051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865504384040833},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6710547208786011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.644483208656311},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6212606430053711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.614970862865448},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5412011742591858},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4829768240451813},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4674051105976105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19855129718780518},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12671399116516113},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11615541577339172},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09411796927452087},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07017627358436584},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/icip.2010.5649402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5649402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2029114128","https://openalex.org/W2039101721","https://openalex.org/W2040617105","https://openalex.org/W2048353751","https://openalex.org/W2059339694","https://openalex.org/W2069378288","https://openalex.org/W2079245076","https://openalex.org/W2081038131","https://openalex.org/W2109262272","https://openalex.org/W2133665775","https://openalex.org/W2163241717","https://openalex.org/W6662378961","https://openalex.org/W6668141180"],"related_works":["https://openalex.org/W1536158975","https://openalex.org/W2393788985","https://openalex.org/W2622826586","https://openalex.org/W2167472940","https://openalex.org/W2029966401","https://openalex.org/W2374120702","https://openalex.org/W2288745733","https://openalex.org/W2631594184","https://openalex.org/W2157670837","https://openalex.org/W2072849536"],"abstract_inverted_index":{"Compared":[0],"to":[1,4,18,95],"metrics":[2,16,116],"proposed":[3,86],"assess":[5],"the":[6,28,33,85,96,101,105,113],"quality":[7,19,45,57],"of":[8,21,27,36,50,59,69,91],"two-dimensional":[9],"(2D)":[10],"images,":[11,64],"there":[12],"are":[13],"very":[14],"few":[15],"devoted":[17],"assessment":[20],"stereoscopic":[22,37,51,63],"presentations.":[23],"Crosstalk":[24],"is":[25,109],"one":[26],"most":[29],"annoying":[30],"distortions":[31],"in":[32,62],"visualization":[34],"stage":[35],"imaging":[38],"technology.":[39],"This":[40],"paper":[41],"proposes":[42],"a":[43],"perceptual":[44],"metric":[46,87],"which":[47,108],"takes":[48],"characteristics":[49],"images":[52],"into":[53],"account":[54],"for":[55],"predicting":[56],"levels":[58],"crosstalk":[60,73,106],"perception":[61],"based":[65],"on":[66,104],"an":[67],"understanding":[68],"three":[70],"main":[71],"factors,":[72],"level,":[74],"camera":[75],"baseline":[76],"and":[77],"scene":[78],"content.":[79],"The":[80],"experimental":[81],"results":[82,99],"demonstrate":[83],"that":[84],"has":[88],"Pearson":[89],"correlation":[90],"87.7%":[92],"when":[93],"compared":[94],"ground":[97],"truth":[98],"from":[100],"subjective":[102],"experiments":[103],"perception,":[107],"much":[110],"better":[111],"than":[112],"traditional":[114],"2D":[115],"without":[117],"integrating":[118],"3D":[119],"depth":[120],"information.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
