{"id":"https://openalex.org/W3118646783","doi":"https://doi.org/10.1109/siu49456.2020.9302050","title":"Predicting Human Visual Complexity Judgments via Deep Learning","display_name":"Predicting Human Visual Complexity Judgments via Deep Learning","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3118646783","doi":"https://doi.org/10.1109/siu49456.2020.9302050","mag":"3118646783"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","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/A5012735351","display_name":"Hamit Ba\u015fg\u00f6l","orcid":"https://orcid.org/0000-0001-6849-8640"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hamit Ba\u015fg\u00f6l","raw_affiliation_strings":["Bilişsel Bilim, Boğaziçi Üniversitesi,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Bilişsel Bilim, Boğaziçi Üniversitesi,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048165304","display_name":"Emre U\u011fur","orcid":"https://orcid.org/0000-0001-9597-2731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emre U\u011fur","raw_affiliation_strings":["Bilgisayar Mühendisliği, Boğaziçi Üniversitesi,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği, Boğaziçi Üniversitesi,İstanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012735351"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16159172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9950000047683716,"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":0.9950000047683716,"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":0.9846000075340271,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7529504299163818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225790023803711},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.6525534987449646},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5712147355079651},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5547795295715332},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5301181674003601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5213314890861511},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49843525886535645},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4879571795463562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4828968048095703},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4821836054325104},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4676843285560608},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46106821298599243},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.46032586693763733},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.4344535768032074},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41537630558013916},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4101221561431885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4049109220504761},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16606616973876953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.156152606010437}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7529504299163818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225790023803711},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.6525534987449646},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5712147355079651},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5547795295715332},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5301181674003601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5213314890861511},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49843525886535645},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4879571795463562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4828968048095703},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4821836054325104},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4676843285560608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46106821298599243},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.46032586693763733},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.4344535768032074},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41537630558013916},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4101221561431885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4049109220504761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16606616973876953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.156152606010437},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu49456.2020.9302050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W12472826","https://openalex.org/W1975971894","https://openalex.org/W1986533012","https://openalex.org/W2007410190","https://openalex.org/W2016053056","https://openalex.org/W2027324596","https://openalex.org/W2031982796","https://openalex.org/W2062196104","https://openalex.org/W2067191022","https://openalex.org/W2068888736","https://openalex.org/W2084976085","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2133194870","https://openalex.org/W2152726637","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2169377141","https://openalex.org/W2744043610","https://openalex.org/W2804273904","https://openalex.org/W2895576959","https://openalex.org/W2961833040","https://openalex.org/W2963163009"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W4282827391","https://openalex.org/W2181861548","https://openalex.org/W3165580226","https://openalex.org/W4386828785","https://openalex.org/W2162216530","https://openalex.org/W2791025012","https://openalex.org/W2134777860","https://openalex.org/W1601867506","https://openalex.org/W2614000596"],"abstract_inverted_index":{"Visual":[0,124],"complexity":[1,22,63,125,142,155],"can":[2,104],"be":[3],"defined":[4],"as":[5,79,95],"the":[6,13,18,50,74,82,99,112,118,133,150],"difficulty":[7],"of":[8,15,52,127,140,144],"defining":[9],"an":[10],"image":[11,107,141],"or":[12],"number":[14],"details":[16],"in":[17,49,132],"image.":[19],"Studying":[20],"visual":[21,28,62,154],"is":[23,77,93,108],"important":[24],"for":[25,33,44,55,70,87,163],"understanding":[26],"human":[27,34,61],"system":[29],"and":[30,117,157,166],"developing":[31,56],"systems":[32],"use.":[35],"In":[36],"this":[37],"study,":[38],"a":[39],"deep":[40],"learning":[41,54],"model":[42,66,83,103,120],"developed":[43],"object":[45,164],"identification":[46],"was":[47,68,85,147,160],"used":[48],"context":[51],"transfer":[53],"two":[57],"models":[58],"to":[59],"predict":[60,105],"judgments.":[64],"The":[65],"that":[67,84,129,149],"trained":[69,86],"making":[71,88],"prediction":[72,89],"within":[73],"same":[75],"domain":[76],"named":[78,94],"within-domain,":[80],"while":[81],"between":[90,152],"different":[91],"domains":[92],"crossdomain":[96],"model.":[97],"After":[98],"training":[100],"phase,":[101],"within-domain":[102],"which":[106],"more":[109],"complex":[110],"than":[111],"other":[113],"with":[114,121],"95%":[115],"accuracy":[116],"cross-domain":[119],"78%":[122],"accuracy.":[123],"scores":[126,156,159],"images":[128],"are":[130],"not":[131],"test":[134],"set":[135],"were":[136],"calculated":[137,158],"by":[138],"means":[139],"comparisons":[143],"models.":[145],"It":[146],"found":[148],"correlation":[151],"real":[153],"strong,":[161],"even":[162],"(0.77)":[165],"scene":[167],"(0.83)":[168],"categories.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}