{"id":"https://openalex.org/W3034652828","doi":"https://doi.org/10.1109/icme46284.2020.9102804","title":"Spatial Attentive Image Aesthetic Assessment","display_name":"Spatial Attentive Image Aesthetic Assessment","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034652828","doi":"https://doi.org/10.1109/icme46284.2020.9102804","mag":"3034652828"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102804","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075489504","display_name":"Ying Xu","orcid":"https://orcid.org/0000-0002-2881-7093"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Xu","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047871","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-7743-1779"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083273078","display_name":"Huaixuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaixuan Zhang","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101626204","display_name":"Yong Jiang","orcid":"https://orcid.org/0000-0002-4260-1395"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Jiang","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9932000041007996,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6722991466522217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6699644327163696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550018191337585},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6178452372550964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5910122394561768},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5898923873901367},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5201059579849243},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5016770362854004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4720388650894165},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.460516095161438},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4501136541366577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3201415538787842},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11616137623786926},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07863879203796387}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6722991466522217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6699644327163696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550018191337585},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6178452372550964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5910122394561768},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5898923873901367},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5201059579849243},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5016770362854004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4720388650894165},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.460516095161438},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4501136541366577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3201415538787842},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11616137623786926},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07863879203796387},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme46284.2020.9102804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102804","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1896080482","https://openalex.org/W1938565953","https://openalex.org/W1997095443","https://openalex.org/W2037910277","https://openalex.org/W2040141351","https://openalex.org/W2078807908","https://openalex.org/W2080754665","https://openalex.org/W2104915826","https://openalex.org/W2183341477","https://openalex.org/W2217895792","https://openalex.org/W2293846591","https://openalex.org/W2347072820","https://openalex.org/W2359978643","https://openalex.org/W2417288846","https://openalex.org/W2467531333","https://openalex.org/W2515223471","https://openalex.org/W2604528050","https://openalex.org/W2754213847","https://openalex.org/W2807792945","https://openalex.org/W2897926040","https://openalex.org/W2963446712","https://openalex.org/W2964084596","https://openalex.org/W2964424722","https://openalex.org/W3103635814"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Image":[0],"aesthetic":[1,38,85],"assessment":[2,39],"is":[3,18,74],"challenging":[4],"as":[5,79],"it":[6],"concerns":[7],"various":[8],"relative":[9],"vague":[10],"perceptual":[11],"evaluations.":[12],"A":[13],"key":[14],"factor":[15],"among":[16],"them":[17],"how":[19],"to":[20,41,51,63],"evaluate":[21],"image":[22,37,69,77],"layout,":[23],"finding":[24],"spatial":[25,35,54],"importance":[26],"in":[27],"aesthetics.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"propose":[33],"a":[34,104],"attentive":[36],"model":[40],"address":[42],"that":[43,91],"factor.":[44],"Our":[45],"method":[46,66,94],"exploits":[47],"the":[48,53,59,68,80,92,96,108],"attention":[49,55],"mechanism":[50],"learn":[52],"map":[56],"and":[57],"aggregate":[58],"learned":[60],"features":[61],"according":[62],"it.":[64],"This":[65],"preserves":[67],"aspect":[70],"ratio":[71,81],"intrinsically,":[72],"which":[73],"vital":[75],"for":[76],"aesthetics":[78],"distortion":[82],"usually":[83],"degrades":[84],"evaluation.":[86],"Numerical":[87],"experimental":[88],"results":[89],"show":[90],"proposed":[93],"gets":[95],"highest":[97],"correlation":[98],"performance":[99],"with":[100],"human":[101],"annotation":[102],"on":[103],"public":[105],"benchmark,":[106],"outperforming":[107],"existing":[109],"state-of-arts.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}