{"id":"https://openalex.org/W3012467208","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023009","title":"A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting","display_name":"A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012467208","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023009","mag":"3012467208"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5002531550","display_name":"Zhenqi Fu","orcid":"https://orcid.org/0000-0003-2950-7190"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenqi Fu","raw_affiliation_strings":["Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029741928","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0001-5598-1692"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yang","raw_affiliation_strings":["Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049898953","display_name":"Feng Shao","orcid":"https://orcid.org/0000-0002-2495-9924"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Shao","raw_affiliation_strings":["Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052820597","display_name":"Xinghao Ding","orcid":"https://orcid.org/0000-0003-2288-5287"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghao Ding","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002531550"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.3067,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63177726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"26","issue":null,"first_page":"2021","last_page":"2024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9940000176429749,"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/seam-carving","display_name":"Seam carving","score":0.932590126991272},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.9027024507522583},{"id":"https://openalex.org/keywords/retargeting","display_name":"Retargeting","score":0.7633669376373291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7309139966964722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7170310020446777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7078571319580078},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6434382200241089},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6289586424827576},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.579977810382843},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5371068120002747},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.45583418011665344},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39612817764282227},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.10843402147293091},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10508257150650024},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06156700849533081}],"concepts":[{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.932590126991272},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.9027024507522583},{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.7633669376373291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7309139966964722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7170310020446777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7078571319580078},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6434382200241089},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6289586424827576},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.579977810382843},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5371068120002747},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.45583418011665344},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39612817764282227},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.10843402147293091},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10508257150650024},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06156700849533081},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"mag:3040993615","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002215474375179","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1499162016","https://openalex.org/W1972735298","https://openalex.org/W1984802553","https://openalex.org/W2090518410","https://openalex.org/W2115273023","https://openalex.org/W2128529780","https://openalex.org/W2145725161","https://openalex.org/W2153942255","https://openalex.org/W2161907179","https://openalex.org/W2165826763","https://openalex.org/W2186399478","https://openalex.org/W2463322449","https://openalex.org/W2514658199","https://openalex.org/W2518041754","https://openalex.org/W2539033431","https://openalex.org/W2581756885","https://openalex.org/W2606880804","https://openalex.org/W2725229849","https://openalex.org/W2793428724","https://openalex.org/W2802426745","https://openalex.org/W3137241515","https://openalex.org/W6682429966"],"related_works":["https://openalex.org/W2295013215","https://openalex.org/W2047755406","https://openalex.org/W4250433723","https://openalex.org/W2081282645","https://openalex.org/W2186399478","https://openalex.org/W3134436426","https://openalex.org/W2802426745","https://openalex.org/W2725229849","https://openalex.org/W2950498101","https://openalex.org/W2777310303"],"abstract_inverted_index":{"Subjective":[0],"and":[1,121],"objective":[2,82,109],"perceptual":[3,40,64,123],"quality":[4,31,41,65,87,110],"assessment":[5,32,111],"for":[6,104],"stereoscopic":[7,16,28,44,54,72,122],"retargeted":[8,45,55,73],"images":[9,56],"is":[10,35,75,100],"a":[11,27,101],"fundamentally":[12],"important":[13],"issue":[14],"in":[15,112],"image":[17,29,74],"retargeting":[18,30],"(SIR)":[19],"which":[20],"has":[21],"not":[22],"been":[23],"deeply":[24],"investigated.":[25],"Here,":[26],"(SIRQA)":[33],"database":[34],"proposed":[36],"to":[37],"study":[38],"the":[39,49,93,106],"of":[42,70,108],"different":[43],"images.":[46],"To":[47],"construct":[48],"database,":[50],"we":[51],"collect":[52],"720":[53],"generated":[57],"by":[58,78,114],"eight":[59],"representative":[60],"SIR":[61],"methods.":[62],"The":[63],"(mean":[66],"opinion":[67],"scores,":[68],"MOS)":[69],"each":[71],"subjectively":[76],"rated":[77],"30":[79],"viewers.":[80],"For":[81],"assessment,":[83],"several":[84],"publicly":[85],"available":[86],"evaluation":[88],"metrics":[89],"are":[90],"tested":[91],"on":[92],"database.":[94],"Experimental":[95],"results":[96],"show":[97],"that":[98],"there":[99],"large":[102],"room":[103],"improving":[105],"accuracy":[107],"SIRQA":[113],"comprehensively":[115],"considering":[116],"geometric":[117],"distortion,":[118],"content":[119],"loss":[120],"quality.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}