{"id":"https://openalex.org/W3136650245","doi":null,"title":"A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment.","display_name":"A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment.","publication_year":2021,"publication_date":"2021-03-22","ids":{"openalex":"https://openalex.org/W3136650245","mag":"3136650245"},"language":"en","primary_location":{"id":"mag:3136650245","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.11616","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://export.arxiv.org/pdf/2103.11616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053888848","display_name":"Saira Kanwal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saira Kanwal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079243583","display_name":"Muhammad Uzair","orcid":"https://orcid.org/0000-0001-5964-4351","observed_orcids":["https://orcid.org/0000-0001-5964-4351"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Uzair","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5964-4351","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5044793388","display_name":"Habib Ullah","orcid":"https://orcid.org/0000-0002-2434-0849","observed_orcids":["https://orcid.org/0000-0002-2434-0849"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Habib Ullah","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2434-0849","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9526000022888184,"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":0.9526000022888184,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.02459999918937683,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.005200000014156103,"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/image-aesthetic-assessment","display_name":"image aesthetic assessment","score":0.8539999723434448},{"id":"https://openalex.org/keywords/handcrafted-features","display_name":"handcrafted features","score":0.7860000133514404},{"id":"https://openalex.org/keywords/deep-learning-models","display_name":"deep learning models","score":0.7480000257492065},{"id":"https://openalex.org/keywords/image-quality","display_name":"image quality","score":0.4519999921321869},{"id":"https://openalex.org/keywords/feature-comparison","display_name":"feature comparison","score":0.5339999794960022}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7300301790237427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202142238616943},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.5950130224227905},{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.5881614089012146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839630365371704},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5534520149230957},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4776843190193176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46276870369911194},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.41125911474227905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3773100972175598},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.11355412006378174},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09902378916740417},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3136650245","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.11616","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3136650245","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.11616","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":95,"referenced_works":["https://openalex.org/W199051323","https://openalex.org/W263731622","https://openalex.org/W1428011168","https://openalex.org/W1511924373","https://openalex.org/W1526500230","https://openalex.org/W1574066498","https://openalex.org/W1606532349","https://openalex.org/W1884352239","https://openalex.org/W1896080482","https://openalex.org/W1924689489","https://openalex.org/W1960777822","https://openalex.org/W1961042934","https://openalex.org/W1965067550","https://openalex.org/W1966385142","https://openalex.org/W1994739392","https://openalex.org/W2006358493","https://openalex.org/W2007773296","https://openalex.org/W2020308406","https://openalex.org/W2023169975","https://openalex.org/W2024051019","https://openalex.org/W2031007444","https://openalex.org/W2031614119","https://openalex.org/W2037910277","https://openalex.org/W2040141351","https://openalex.org/W2048783874","https://openalex.org/W2048835603","https://openalex.org/W2056380823","https://openalex.org/W2078807908","https://openalex.org/W2080948161","https://openalex.org/W2082190101","https://openalex.org/W2082508718","https://openalex.org/W2085146043","https://openalex.org/W2092985495","https://openalex.org/W2096679187","https://openalex.org/W2104564430","https://openalex.org/W2105727729","https://openalex.org/W2107286248","https://openalex.org/W2114420961","https://openalex.org/W2119605622","https://openalex.org/W2120010395","https://openalex.org/W2120441732","https://openalex.org/W2128272608","https://openalex.org/W2129134806","https://openalex.org/W2135288606","https://openalex.org/W2152059677","https://openalex.org/W2153582625","https://openalex.org/W2161969291","https://openalex.org/W2162692770","https://openalex.org/W2163605009","https://openalex.org/W2165151940","https://openalex.org/W2170658603","https://openalex.org/W2171525877","https://openalex.org/W2172609755","https://openalex.org/W2203053499","https://openalex.org/W2216949779","https://openalex.org/W2219771564","https://openalex.org/W2227566270","https://openalex.org/W2295119554","https://openalex.org/W2295363913","https://openalex.org/W2325937025","https://openalex.org/W2343359588","https://openalex.org/W2347072820","https://openalex.org/W2397183714","https://openalex.org/W2417288846","https://openalex.org/W2511925527","https://openalex.org/W2514622527","https://openalex.org/W2529088810","https://openalex.org/W2532756262","https://openalex.org/W2590280293","https://openalex.org/W2607603241","https://openalex.org/W2611605940","https://openalex.org/W2635265617","https://openalex.org/W2732026016","https://openalex.org/W2739417350","https://openalex.org/W2769905613","https://openalex.org/W2790622254","https://openalex.org/W2793657457","https://openalex.org/W2802572676","https://openalex.org/W2805447019","https://openalex.org/W2889906703","https://openalex.org/W2922188941","https://openalex.org/W2934953486","https://openalex.org/W2965006338","https://openalex.org/W2970588228","https://openalex.org/W2976210782","https://openalex.org/W2990944644","https://openalex.org/W2997779122","https://openalex.org/W2998291127","https://openalex.org/W2998467809","https://openalex.org/W3003957020","https://openalex.org/W3015104373","https://openalex.org/W3035523707","https://openalex.org/W3088796618","https://openalex.org/W3113124545","https://openalex.org/W7098642242"],"related_works":["https://openalex.org/W4287262176","https://openalex.org/W4297094554","https://openalex.org/W2529088810","https://openalex.org/W2955508869","https://openalex.org/W3164459664","https://openalex.org/W2123475527","https://openalex.org/W3210300123","https://openalex.org/W2048835603","https://openalex.org/W3047354113","https://openalex.org/W2734838866"],"abstract_inverted_index":{"Automatic":[0],"image":[1,29,40,67,90],"aesthetics":[2,91],"assessment":[3,69],"is":[4,22,137],"a":[5,81],"computer":[6],"vision":[7],"problem":[8,108],"that":[9],"deals":[10],"with":[11],"the":[12,35,39,43,85,126,131,141],"categorization":[13,21],"of":[14,34,46,84,88,96,130,134],"images":[15],"into":[16],"different":[17,135],"aesthetic":[18,68],"levels.":[19],"The":[20],"usually":[23],"done":[24],"by":[25],"analyzing":[26],"an":[27],"input":[28],"and":[30,56,100,123],"computing":[31],"some":[32,115],"measure":[33],"degree":[36],"to":[37,42,59],"which":[38],"adhere":[41],"key":[44],"principles":[45],"photography":[47],"(balance,":[48],"rhythm,":[49],"harmony,":[50],"contrast,":[51],"unity,":[52],"look,":[53],"feel,":[54],"tone":[55],"texture).":[57],"Owing":[58],"its":[60],"diverse":[61],"applications":[62],"in":[63,75],"many":[64],"areas,":[65],"automatic":[66,89],"has":[70],"gained":[71],"significant":[72],"research":[73],"attention":[74],"recent":[76,86],"years.":[77],"This":[78],"paper":[79],"presents":[80],"literature":[82],"review":[83],"techniques":[87],"assessment.":[92],"A":[93,128],"large":[94],"number":[95],"traditional":[97],"hand":[98],"crafted":[99],"deep":[101],"learning":[102],"based":[103],"approaches":[104],"are":[105,110,125],"reviewed.":[106],"Key":[107],"aspects":[109],"discussed":[111],"such":[112],"as":[113],"why":[114],"features":[116],"or":[117],"models":[118],"perform":[119],"better":[120],"than":[121],"others":[122],"what":[124],"limitations.":[127],"comparison":[129],"quantitative":[132],"results":[133],"methods":[136],"also":[138],"provided":[139],"at":[140],"end.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-03-29T00:00:00"}