{"id":"https://openalex.org/W4316660601","doi":"https://doi.org/10.1109/vcip56404.2022.10008866","title":"No Reference Stereoscopic Video Quality Assessment based on Human Vision System","display_name":"No Reference Stereoscopic Video Quality Assessment based on Human Vision System","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4316660601","doi":"https://doi.org/10.1109/vcip56404.2022.10008866"},"language":"en","primary_location":{"id":"doi:10.1109/vcip56404.2022.10008866","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip56404.2022.10008866","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5100782565","display_name":"Xiaofang Zhang","orcid":"https://orcid.org/0000-0002-8667-0456"},"institutions":[{"id":"https://openalex.org/I201532990","display_name":"Tianjin Foreign Studies University","ror":"https://ror.org/057hdmq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I201532990"]},{"id":"https://openalex.org/I4210153086","display_name":"Florida International University Tianjin Center","ror":"https://ror.org/03ps0yk73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153086"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofang Zhang","raw_affiliation_strings":["International Engineering Institute, Tianjin University,TianJin,China","International Engineering Institute, Tianjin University, TianJin, China"],"affiliations":[{"raw_affiliation_string":"International Engineering Institute, Tianjin University,TianJin,China","institution_ids":["https://openalex.org/I201532990","https://openalex.org/I4210153086"]},{"raw_affiliation_string":"International Engineering Institute, Tianjin University, TianJin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036035213","display_name":"Sumei Li","orcid":"https://orcid.org/0000-0002-4793-3161"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sumei Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University,TianJin,China","School of Electrical and Information Engineering, Tianjin University, TianJin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University,TianJin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, TianJin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100782565"],"corresponding_institution_ids":["https://openalex.org/I162868743","https://openalex.org/I201532990","https://openalex.org/I4210153086"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18608299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"414","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8234856128692627},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7665621638298035},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.7634937763214111},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.719039261341095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6932233572006226},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6875140070915222},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6311947703361511},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5636746883392334},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44822293519973755},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43007442355155945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16730156540870667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.092771977186203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07533863186836243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234856128692627},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7665621638298035},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.7634937763214111},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.719039261341095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6932233572006226},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6875140070915222},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6311947703361511},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5636746883392334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44822293519973755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43007442355155945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16730156540870667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.092771977186203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07533863186836243},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip56404.2022.10008866","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip56404.2022.10008866","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1059851026","https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W2007817642","https://openalex.org/W2049206913","https://openalex.org/W2064675550","https://openalex.org/W2128272608","https://openalex.org/W2314091824","https://openalex.org/W2621347347","https://openalex.org/W2766596268","https://openalex.org/W2772807170","https://openalex.org/W2774323665","https://openalex.org/W2789900556","https://openalex.org/W2802498524","https://openalex.org/W2892027172","https://openalex.org/W2963420686","https://openalex.org/W2997463005","https://openalex.org/W3001581174","https://openalex.org/W3034421924","https://openalex.org/W3034771037","https://openalex.org/W3091669570","https://openalex.org/W3160476562","https://openalex.org/W4205271519","https://openalex.org/W4214666412","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W1564637051","https://openalex.org/W2097012618","https://openalex.org/W2084773883","https://openalex.org/W2359818963"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,19,48,59,88],"propose":[4],"a":[5,21,90],"no-reference":[6],"stereoscopic":[7],"video":[8],"quality":[9],"assessment":[10],"(NR-SVQA)":[11],"based":[12],"on":[13],"human":[14,86],"vision":[15],"system":[16],"(HVS).":[17],"Firstly,":[18],"build":[20,89],"frequency":[22,31,41],"transform":[23,36],"module":[24],"(FTM),":[25],"which":[26],"maps":[27],"spatial":[28],"domain":[29,32],"to":[30,52,67,79],"by":[33],"cosine":[34],"discrete":[35],"(DCT),":[37],"and":[38],"selects":[39],"important":[40],"components":[42],"through":[43],"channel":[44],"attention":[45],"mechanism.":[46],"Secondly,":[47],"use":[49,60],"dynamic":[50],"convolution":[51],"regionally":[53],"process":[54],"the":[55,82],"same":[56],"input.":[57],"Thirdly,":[58],"convolutional":[61],"long":[62],"short":[63],"term":[64],"memory":[65],"(Conv-LSTM)":[66],"extract":[68],"spatio-temporal":[69],"information":[70],"rather":[71],"than":[72],"just":[73],"temporal":[74],"information.":[75],"Finally,":[76],"in":[77],"order":[78],"better":[80],"simulate":[81],"visual":[83],"characteristics":[84],"of":[85],"eyes,":[87],"optic":[91],"chiasm":[92],"module.":[93],"The":[94],"experiment":[95],"results":[96],"show":[97],"that":[98],"our":[99],"method":[100],"outperforms":[101],"any":[102],"other":[103],"methods.":[104]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
