{"id":"https://openalex.org/W3116740082","doi":"https://doi.org/10.1109/vcip49819.2020.9301803","title":"Enhanced Saliency Prediction via Orientation Selectivity","display_name":"Enhanced Saliency Prediction via Orientation Selectivity","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3116740082","doi":"https://doi.org/10.1109/vcip49819.2020.9301803","mag":"3116740082"},"language":"en","primary_location":{"id":"doi:10.1109/vcip49819.2020.9301803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5100729335","display_name":"Peng Ye","orcid":"https://orcid.org/0000-0002-5802-465X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ye","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101820462","display_name":"Yongfang Wang","orcid":"https://orcid.org/0000-0003-4489-8134"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfang Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029237607","display_name":"Yumeng Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumeng Xia","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15829886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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":0.9944000244140625,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7480010390281677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266764640808105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7134752869606018},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6744289398193359},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.6386990547180176},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.603413462638855},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.5360562801361084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5207088589668274},{"id":"https://openalex.org/keywords/selectivity","display_name":"Selectivity","score":0.4711422026157379},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4511609673500061},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.44494134187698364},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42749613523483276},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21015366911888123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14937886595726013},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10476118326187134},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08494457602500916},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08299973607063293}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7480010390281677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266764640808105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7134752869606018},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6744289398193359},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.6386990547180176},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.603413462638855},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.5360562801361084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5207088589668274},{"id":"https://openalex.org/C118792377","wikidata":"https://www.wikidata.org/wiki/Q108584245","display_name":"Selectivity","level":3,"score":0.4711422026157379},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4511609673500061},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.44494134187698364},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42749613523483276},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21015366911888123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14937886595726013},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10476118326187134},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08494457602500916},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08299973607063293},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C161790260","wikidata":"https://www.wikidata.org/wiki/Q82264","display_name":"Catalysis","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip49819.2020.9301803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1538001519","https://openalex.org/W1565763799","https://openalex.org/W1609455666","https://openalex.org/W1985202143","https://openalex.org/W1987129656","https://openalex.org/W2015435381","https://openalex.org/W2025520157","https://openalex.org/W2030620644","https://openalex.org/W2064214755","https://openalex.org/W2085625911","https://openalex.org/W2096918063","https://openalex.org/W2116360511","https://openalex.org/W2135957164","https://openalex.org/W2137413309","https://openalex.org/W2139047169","https://openalex.org/W2142036176","https://openalex.org/W2152233525","https://openalex.org/W2161502316","https://openalex.org/W2172085063","https://openalex.org/W2290415093","https://openalex.org/W2332175535","https://openalex.org/W2342927252","https://openalex.org/W2598684819","https://openalex.org/W2800803240","https://openalex.org/W2916160612","https://openalex.org/W2963503775","https://openalex.org/W3121623048","https://openalex.org/W6630406260","https://openalex.org/W6680437723","https://openalex.org/W6680614221","https://openalex.org/W6685267192","https://openalex.org/W6703437051"],"related_works":["https://openalex.org/W1586206203","https://openalex.org/W2619424135","https://openalex.org/W2114451818","https://openalex.org/W2033566589","https://openalex.org/W2951237352","https://openalex.org/W2006471881","https://openalex.org/W2074571151","https://openalex.org/W2036143465","https://openalex.org/W2018515813","https://openalex.org/W2122116430"],"abstract_inverted_index":{"Saliency":[0],"prediction":[1],"can":[2],"be":[3],"treated":[4],"as":[5],"the":[6,9,21,26,45,94,104,108],"activity":[7],"of":[8,23,107],"human":[10],"visual":[11,39,48,72,87],"system":[12],"(HVS).":[13],"The":[14],"most":[15],"effective":[16],"method":[17,110],"should":[18],"highly":[19],"approximate":[20],"response":[22],"HVS":[24,46],"to":[25,92,112],"perceived":[27],"information.":[28],"Motivated":[29],"by":[30,59],"that":[31],"orientation":[32,62],"selectivity":[33,63],"(OS)":[34],"mechanism":[35],"occuring":[36],"in":[37],"primary":[38],"cortex":[40],"(PVC)":[41],"tells":[42],"us":[43],"how":[44],"extracts":[47],"information":[49],"for":[50],"scene":[51],"understanding,":[52],"we":[53],"propose":[54],"a":[55,71,81],"novel":[56],"saliency":[57,82,95],"model":[58],"combining":[60],"an":[61],"based":[64,74,85],"local":[65],"feature":[66,76],"called":[67,77],"\"excitement\"":[68],"map":[69],"and":[70],"acuity":[73],"global":[75],"\"acuity\"":[78],"map.":[79,96],"Further,":[80],"augmented":[83],"operator":[84],"on":[86,99],"error":[88],"sensitivity":[89],"is":[90],"designed":[91],"enhance":[93],"Experimental":[97],"results":[98],"three":[100],"benchmark":[101],"databases":[102],"demonstrate":[103],"superior":[105],"performance":[106],"proposed":[109],"compared":[111],"ten":[113],"classical/":[114],"state-of-the-art":[115],"algorithms.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}