{"id":"https://openalex.org/W2749708350","doi":"https://doi.org/10.2352/issn.2470-1173.2017.5.sda-371","title":"Subjective and Objective Study of the Relation Between 3D and 2D Views Based on Depth and Bitrate","display_name":"Subjective and Objective Study of the Relation Between 3D and 2D Views Based on Depth and Bitrate","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2749708350","doi":"https://doi.org/10.2352/issn.2470-1173.2017.5.sda-371","mag":"2749708350"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.5.sda-371","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.5.sda-371","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5004903747","display_name":"Balasubramanyam Appina","orcid":"https://orcid.org/0000-0003-4751-2866"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Balasubramanyam Appina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021062826","display_name":"K. Manasa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K Manasa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090343004","display_name":"Sumohana S. Channappayya","orcid":"https://orcid.org/0000-0002-5687-0887"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sumohana S. Channappayya","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004903747"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.277,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64294397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"5","first_page":"145","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9921000003814697,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9911999702453613,"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":0.7926809191703796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7174441814422607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.545847475528717},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5017168521881104},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4950787127017975},{"id":"https://openalex.org/keywords/uncompressed-video","display_name":"Uncompressed video","score":0.48873186111450195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48107075691223145},{"id":"https://openalex.org/keywords/video-editing","display_name":"Video editing","score":0.42025452852249146},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3551679253578186},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35009756684303284},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.31353411078453064},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.17988818883895874},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.14495405554771423}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7926809191703796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174441814422607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.545847475528717},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5017168521881104},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4950787127017975},{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.48873186111450195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48107075691223145},{"id":"https://openalex.org/C2780310081","wikidata":"https://www.wikidata.org/wiki/Q1154312","display_name":"Video editing","level":2,"score":0.42025452852249146},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3551679253578186},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35009756684303284},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.31353411078453064},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.17988818883895874},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.14495405554771423},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.5.sda-371","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.5.sda-371","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:raiith.iith.ac.in:5339","is_oa":false,"landing_page_url":"http://raiith.iith.ac.in/5339/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2074441058","https://openalex.org/W2329521847","https://openalex.org/W2248873042","https://openalex.org/W2405812711","https://openalex.org/W4297785055","https://openalex.org/W2157454221","https://openalex.org/W1523010715","https://openalex.org/W4254043533","https://openalex.org/W3147815861","https://openalex.org/W2981480840"],"abstract_inverted_index":{"The":[0,95,119],"tremendous":[1],"growth":[2,40],"in":[3,148],"3D":[4,190],"(stereo)":[5],"imaging":[6],"and":[7,16,25,71,107,132,167,177,189],"display":[8],"technologies":[9],"has":[10,33],"led":[11],"to":[12,61,91],"stereoscopic":[13,30,49,68,168],"content":[14,32],"(video":[15],"image)":[17],"becoming":[18],"increasingly":[19],"popular.":[20],"However,":[21],"both":[22],"the":[23,26,38,42,45,149,155,165,184],"subjective":[24,73,150,156,169],"objective":[27],"evaluation":[28],"of":[29,41,47,83,105,127,174,186],"video":[31,50,69,121],"not":[34],"kept":[35],"pace":[36],"with":[37],"rapid":[39],"content.":[43],"Further,":[44,144],"availability":[46],"standard":[48],"databases":[51],"is":[52],"also":[53,182],"quite":[54],"limited.":[55],"In":[56],"this":[57],"work,":[58],"we":[59,133,158],"attempt":[60],"alleviate":[62],"these":[63,135],"shortcomings.":[64],"We":[65,75,87,180],"present":[66],"a":[67,78,81,124,161,172],"database":[70,79],"its":[72],"evaluation.":[74],"have":[76,159,181],"created":[77,111],"containing":[80],"set":[82],"144":[84],"distorted":[85,96],"videos.":[86],"limit":[88],"our":[89,197],"attention":[90],"H.264":[92],"compression":[93,175],"artifacts.":[94],"videos":[97,104,136],"were":[98],"generated":[99],"using":[100],"6":[101],"uncompressed":[102],"pristine":[103],"left":[106],"right":[108],"views":[109],"originally":[110],"by":[112],"Ecole":[113],"Polytechnique":[114],"Federal":[115],"De":[116],"Lausanne":[117],"(EPFL)[1].":[118],"reference":[120],"sequences":[122],"contain":[123],"good":[125],"combination":[126],"texture,":[128],"motion,":[129],"depth":[130,142,178],"information":[131],"divided":[134],"into":[137],"2":[138],"groups":[139],"based":[140],"on":[141,154,196],"information.":[143],"19":[145],"subjects":[146],"participated":[147],"assessment":[151,193],"task.":[152],"Based":[153],"study,":[157],"formulated":[160],"conditional":[162],"relation":[163],"between":[164],"2D":[166,188],"scores":[170],"as":[171],"function":[173],"rate":[176],"range.":[179],"evaluated":[183],"performance":[185],"popular":[187],"image/video":[191],"quality":[192],"(I/VQA)":[194],"algorithms":[195],"database.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
