{"id":"https://openalex.org/W2810144644","doi":"https://doi.org/10.1145/3204949.3204960","title":"Blind image quality assessment based on multiscale salient local binary patterns","display_name":"Blind image quality assessment based on multiscale salient local binary patterns","publication_year":2018,"publication_date":"2018-06-12","ids":{"openalex":"https://openalex.org/W2810144644","doi":"https://doi.org/10.1145/3204949.3204960","mag":"2810144644"},"language":"en","primary_location":{"id":"doi:10.1145/3204949.3204960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204949.3204960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM Multimedia Systems Conference","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/A5011069017","display_name":"Pedro Garcia Freitas","orcid":"https://orcid.org/0000-0003-0866-658X"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Garcia Freitas","raw_affiliation_strings":["University of Bras\u00edlia, Bras\u00edlia, DF, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bras\u00edlia, Bras\u00edlia, DF, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068748275","display_name":"Sana Alamgeer","orcid":"https://orcid.org/0000-0002-6472-7570"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sana Alamgeer","raw_affiliation_strings":["University of Bras\u00edlia, Bras\u00edlia, DF, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bras\u00edlia, Bras\u00edlia, DF, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070455927","display_name":"Welington Y. L. Akamine","orcid":null},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Welington Y. L. Akamine","raw_affiliation_strings":["University of Bras\u00edlia, Bras\u00edlia, DF, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bras\u00edlia, Bras\u00edlia, DF, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022483402","display_name":"Myl\u00e8ne C. Q. Farias","orcid":"https://orcid.org/0000-0002-1957-9943"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Myl\u00e8ne C. Q. Farias","raw_affiliation_strings":["University of Bras\u00edlia, Bras\u00edlia, DF, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bras\u00edlia, Bras\u00edlia, DF, Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150729083"],"apc_list":null,"apc_paid":null,"fwci":0.2282,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.58876537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9984999895095825,"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":0.9804999828338623,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.7472702860832214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291609644889832},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.724703848361969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7088111042976379},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6347264051437378},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6104888319969177},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5687498450279236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5317199230194092},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5305787920951843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5036641955375671},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.5026988983154297},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4652944803237915},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4519505202770233},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.42426103353500366},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35212695598602295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2097066342830658},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.116204172372818}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7472702860832214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291609644889832},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.724703848361969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7088111042976379},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6347264051437378},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6104888319969177},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5687498450279236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5317199230194092},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5305787920951843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5036641955375671},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.5026988983154297},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4652944803237915},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4519505202770233},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.42426103353500366},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35212695598602295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2097066342830658},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.116204172372818},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3204949.3204960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204949.3204960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM Multimedia Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W154882957","https://openalex.org/W874645128","https://openalex.org/W1510835000","https://openalex.org/W1560401683","https://openalex.org/W1964859077","https://openalex.org/W1968613884","https://openalex.org/W1971014006","https://openalex.org/W1973207880","https://openalex.org/W1974013408","https://openalex.org/W1978191055","https://openalex.org/W1982471090","https://openalex.org/W1985053498","https://openalex.org/W1987489060","https://openalex.org/W2006902599","https://openalex.org/W2008051965","https://openalex.org/W2009272644","https://openalex.org/W2013237403","https://openalex.org/W2015196405","https://openalex.org/W2037328649","https://openalex.org/W2037892408","https://openalex.org/W2040959874","https://openalex.org/W2042204882","https://openalex.org/W2046119925","https://openalex.org/W2051596736","https://openalex.org/W2061513831","https://openalex.org/W2063360098","https://openalex.org/W2067921844","https://openalex.org/W2068194118","https://openalex.org/W2073623229","https://openalex.org/W2094909354","https://openalex.org/W2100470808","https://openalex.org/W2101234009","https://openalex.org/W2106525823","https://openalex.org/W2106848651","https://openalex.org/W2118202067","https://openalex.org/W2124562516","https://openalex.org/W2127913628","https://openalex.org/W2128272608","https://openalex.org/W2130165894","https://openalex.org/W2133589685","https://openalex.org/W2133665775","https://openalex.org/W2133946027","https://openalex.org/W2135957164","https://openalex.org/W2153110463","https://openalex.org/W2161907179","https://openalex.org/W2162220380","https://openalex.org/W2162692770","https://openalex.org/W2163352848","https://openalex.org/W2163370434","https://openalex.org/W2165399587","https://openalex.org/W2171220523","https://openalex.org/W2171349048","https://openalex.org/W2274405424","https://openalex.org/W2295949027","https://openalex.org/W2323509952","https://openalex.org/W2332175535","https://openalex.org/W2472152852","https://openalex.org/W2509123681","https://openalex.org/W2557218372","https://openalex.org/W2572961056","https://openalex.org/W2583358100","https://openalex.org/W2760972116","https://openalex.org/W2998768810","https://openalex.org/W3101685095","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W1823469724","https://openalex.org/W2151854763","https://openalex.org/W2373150368","https://openalex.org/W2783118371","https://openalex.org/W2766950897","https://openalex.org/W3011503342","https://openalex.org/W3204374377","https://openalex.org/W2139957893","https://openalex.org/W2397661019","https://openalex.org/W4391096660"],"abstract_inverted_index":{"Due":[0],"to":[1,31,194,218],"the":[2,9,40,63,71,101,104,115,121,124,128,132,155,179,191,198,203,213,220],"rapid":[3],"development":[4],"of":[5,48,66,87,93,117,123,131,169,205,222,229],"multimedia":[6,58],"technologies,":[7],"over":[8],"last":[10],"decades":[11],"image":[12,37,68,125],"quality":[13,65,221],"assessment":[14],"(IQA)":[15],"has":[16,28,234],"become":[17],"an":[18,67,94,118,163],"important":[19],"topic.":[20],"As":[21],"a":[22,24,79,85,167,226,235],"consequence,":[23],"great":[25],"research":[26],"effort":[27],"been":[29],"made":[30],"develop":[32],"computational":[33,137],"models":[34,140],"that":[35,83,126,141,165,212],"estimate":[36,219],"quality.":[38],"Among":[39],"possible":[41],"IQA":[42,45,241],"approaches,":[43],"blind":[44],"(BIQA)":[46],"is":[47,177,190,216],"fundamental":[49],"interest":[50],"as":[51,151],"it":[52],"can":[53,148],"be":[54,149,195],"used":[55,150,196],"in":[56,197],"most":[57],"applications.":[59],"BIQA":[60,81],"techniques":[61],"measure":[62],"perceptual":[64],"without":[69],"using":[70,103],"reference":[72],"(or":[73],"pristine)":[74],"image.":[75,95],"This":[76],"paper":[77],"proposes":[78],"new":[80],"method":[82,215],"uses":[84],"combination":[86,168],"texture":[88],"features":[89,97],"and":[90,173],"saliency":[91,143,146,174,207],"maps":[92,147,157,172],"Texture":[96],"are":[98,127],"extracted":[99],"from":[100],"images":[102,224],"local":[105,182],"binary":[106,183],"pattern":[107,184],"(LBP)":[108],"operator":[109,164],"at":[110,158],"multiple":[111,159],"scales.":[112,160],"To":[113,187],"extract":[114],"salient":[116,181],"image,":[119],"i.e.":[120],"areas":[122],"main":[129],"attractors":[130],"viewers'":[133],"attention,":[134],"we":[135,201],"use":[136],"visual":[138],"attention":[139],"output":[142],"maps.":[144],"These":[145],"weighting":[152],"functions":[153],"for":[154],"LBP":[156,171],"We":[161],"propose":[162],"produces":[166],"multiscale":[170,180],"maps,":[175],"which":[176,189],"called":[178],"(MSLBP)":[185],"operator.":[186],"define":[188],"best":[192],"model":[193],"proposed":[199,214,232],"operator,":[200],"investigate":[202],"performance":[204],"several":[206],"models.":[208],"Experimental":[209],"results":[210],"demonstrate":[211],"able":[217],"impaired":[223],"with":[225],"wide":[227],"variety":[228],"distortions.":[230],"The":[231],"metric":[233],"better":[236],"prediction":[237],"accuracy":[238],"than":[239],"state-of-the-art":[240],"methods.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}