{"id":"https://openalex.org/W3034847157","doi":"https://doi.org/10.1109/icmew46912.2020.9106048","title":"Opinion-Unaware No-Reference Image Quality Assessment of Smartphone Camera Images Based on Aesthetics and Human Perception","display_name":"Opinion-Unaware No-Reference Image Quality Assessment of Smartphone Camera Images Based on Aesthetics and Human Perception","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034847157","doi":"https://doi.org/10.1109/icmew46912.2020.9106048","mag":"3034847157"},"language":"en","primary_location":{"id":"doi:10.1109/icmew46912.2020.9106048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew46912.2020.9106048","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 & Expo Workshops (ICMEW)","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/A5062542774","display_name":"Zifeng Yuan","orcid":"https://orcid.org/0000-0001-7400-5099"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zifeng Yuan","raw_affiliation_strings":["Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100825331","display_name":"Yi Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Qi","raw_affiliation_strings":["Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058455658","display_name":"Menghan Hu","orcid":"https://orcid.org/0000-0002-8557-8930"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghan Hu","raw_affiliation_strings":["Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Labora. of Multidim. Infor. Proce, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38549751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9987999796867371,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7696369886398315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7244356870651245},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6593023538589478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580018997192383},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5756841897964478},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.5391474366188049},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.531450629234314},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5181882977485657},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4983944892883301},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4208261966705322},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3842196762561798},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37727558612823486},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2876214385032654},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14610034227371216}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7696369886398315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7244356870651245},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6593023538589478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580018997192383},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5756841897964478},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.5391474366188049},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.531450629234314},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5181882977485657},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4983944892883301},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4208261966705322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3842196762561798},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37727558612823486},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2876214385032654},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14610034227371216},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew46912.2020.9106048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew46912.2020.9106048","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 & Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1524513516","https://openalex.org/W1757869357","https://openalex.org/W1988445395","https://openalex.org/W2020999234","https://openalex.org/W2028529192","https://openalex.org/W2133194870","https://openalex.org/W2154747333","https://openalex.org/W2296168388","https://openalex.org/W2359069371","https://openalex.org/W2402339996","https://openalex.org/W2988779004","https://openalex.org/W3090032537","https://openalex.org/W3100145537","https://openalex.org/W6637756847","https://openalex.org/W6785384395"],"related_works":["https://openalex.org/W4320518079","https://openalex.org/W2039822179","https://openalex.org/W4386771591","https://openalex.org/W2972873516","https://openalex.org/W2044270176","https://openalex.org/W2374828682","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W4230530180","https://openalex.org/W1980033651"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"evaluate":[4,43],"the":[5,36,44,55,77,86],"quality":[6],"of":[7,26],"images":[8,20],"taken":[9],"by":[10,80],"smartphone":[11],"cameras.":[12],"By":[13],"extracting":[14],"localized":[15],"features":[16],"from":[17],"different":[18],"contents,":[19],"can":[21],"be":[22],"analyzed":[23],"in":[24],"terms":[25],"exposure,":[27],"noise,":[28],"color":[29],"and":[30,49,64],"texture.":[31,65],"Coarse-grained":[32],"method,":[33],"which":[34,53],"simulates":[35],"Ising":[37],"model":[38],"system,":[39],"is":[40,83],"utilized":[41],"to":[42,61],"exposure":[45],"performance.":[46],"Gabor":[47],"transform":[48],"Tamura":[50],"texture":[51],"features,":[52],"imitate":[54],"human":[56],"visual":[57],"perception,":[58],"are":[59,70,90],"used":[60],"grade":[62],"noise":[63],"For":[66],"color,":[67],"hue":[68],"histograms":[69],"adopted.":[71],"Comparing":[72],"our":[73],"computational":[74],"result":[75],"with":[76],"ranking":[78],"given":[79],"experts,":[81],"it":[82],"found":[84],"that":[85],"averaged":[87],"SROCC":[88],"values":[89],"greater":[91],"than":[92],"0.35.":[93]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}