{"id":"https://openalex.org/W2789596518","doi":"https://doi.org/10.1109/vcip.2017.8305060","title":"A robust 3D visual saliency computation model for human fixation prediction of stereoscopic videos","display_name":"A robust 3D visual saliency computation model for human fixation prediction of stereoscopic videos","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2789596518","doi":"https://doi.org/10.1109/vcip.2017.8305060","mag":"2789596518"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 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/A5100336301","display_name":"Qiong Liu","orcid":"https://orcid.org/0000-0002-2407-806X"},"institutions":[{"id":"https://openalex.org/I4210138186","display_name":"Wuhan National Laboratory for Optoelectronics","ror":"https://ror.org/03c9ncn37","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210138186"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Liu","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210138186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658700","display_name":"You Yang","orcid":"https://orcid.org/0000-0002-5695-1046"},"institutions":[{"id":"https://openalex.org/I4210138186","display_name":"Wuhan National Laboratory for Optoelectronics","ror":"https://ror.org/03c9ncn37","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210138186"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Yang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210138186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081774049","display_name":"Pian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138186","display_name":"Wuhan National Laboratory for Optoelectronics","ror":"https://ror.org/03c9ncn37","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210138186"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pian Li","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210138186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356459","display_name":"Bei Li","orcid":"https://orcid.org/0000-0003-0596-2957"},"institutions":[{"id":"https://openalex.org/I4210138186","display_name":"Wuhan National Laboratory for Optoelectronics","ror":"https://ror.org/03c9ncn37","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210138186"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Li","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Wuhan National Laboratory of Optoelectronics, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210138186"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2771,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66705891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.996399998664856,"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/T11019","display_name":"Image Enhancement Techniques","score":0.980400025844574,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7735987901687622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007284164428711},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.627234160900116},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6116447448730469},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.5782395601272583},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5106063485145569},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4747864603996277},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.4662659764289856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4543955624103546},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43519511818885803},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43435490131378174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13142263889312744}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7735987901687622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007284164428711},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.627234160900116},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6116447448730469},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.5782395601272583},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5106063485145569},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4747864603996277},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.4662659764289856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4543955624103546},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43519511818885803},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43435490131378174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13142263889312744},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1497443722","https://openalex.org/W1544196317","https://openalex.org/W1605517717","https://openalex.org/W1938386764","https://openalex.org/W1976409045","https://openalex.org/W1978741881","https://openalex.org/W1993084194","https://openalex.org/W1993713494","https://openalex.org/W1997137149","https://openalex.org/W2037954058","https://openalex.org/W2047670868","https://openalex.org/W2080225384","https://openalex.org/W2091913757","https://openalex.org/W2097878628","https://openalex.org/W2118246710","https://openalex.org/W2164084182","https://openalex.org/W2166184839","https://openalex.org/W2170632605","https://openalex.org/W2282640221","https://openalex.org/W2332175535","https://openalex.org/W2461758788","https://openalex.org/W2551019270","https://openalex.org/W2963223395","https://openalex.org/W4239147634","https://openalex.org/W6648922525"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W1536158975","https://openalex.org/W4242386713","https://openalex.org/W2996505764"],"abstract_inverted_index":{"3D":[0,15,24,59,69,131],"saliency":[1,25,60,70,80,146,156],"have":[2],"been":[3],"gaining":[4],"an":[5],"increasing":[6],"amount":[7],"of":[8,11,14,20,31,34,57,95,99,161],"attention":[9],"because":[10],"the":[12,29,55,93,96,141],"emergence":[13],"contents":[16],"and":[17,50,103,111,128,147],"applications.":[18],"Most":[19],"existing":[21],"works":[22],"on":[23,28],"are":[26,46,116],"based":[27],"assumption":[30],"fine":[32],"quality":[33],"depth":[35,38,86,101,115,126,145],"maps.":[36,87],"However,":[37],"maps":[39],"from":[40,109],"stereo":[41],"matching":[42],"or":[43],"range":[44],"sensors":[45],"usually":[47],"with":[48,92],"holes":[49,110],"artifacts,":[51],"which":[52],"severely":[53],"drop":[54],"performance":[56,160],"those":[58,105],"models.":[61,166],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"a":[67,78,134],"robust":[68],"computation":[71],"model":[72,82,137,157],"for":[73,85,140],"human":[74],"fixation":[75],"prediction.":[76],"First,":[77],"cluster-contrast":[79,120],"prediction":[81,89],"is":[83,90,122,138],"proposed":[84,139],"The":[88,119,150],"obtained":[91],"centroid":[94],"largest":[97],"clusters":[98],"each":[100],"super-pixel,":[102],"thus":[104],"bad":[106],"effects":[107],"originate":[108],"other":[112,164],"artifacts":[113],"in":[114,130],"then":[117],"eliminated.":[118],"strategy":[121],"exploited":[123],"both":[124],"to":[125],"texture":[127],"motions":[129],"video.":[132],"Finally,":[133],"Bayesian":[135],"integration":[136],"multi-modality":[142],"fusion":[143],"between":[144],"color":[148],"saliency.":[149],"experimental":[151],"results":[152],"demonstrate":[153],"that":[154],"our":[155],"has":[158],"better":[159],"accuracy":[162],"than":[163],"state-of-arts":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}