{"id":"https://openalex.org/W2886999600","doi":"https://doi.org/10.1186/s13173-018-0073-3","title":"Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines","display_name":"Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines","publication_year":2018,"publication_date":"2018-08-06","ids":{"openalex":"https://openalex.org/W2886999600","doi":"https://doi.org/10.1186/s13173-018-0073-3","mag":"2886999600"},"language":"en","primary_location":{"id":"doi:10.1186/s13173-018-0073-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13173-018-0073-3","pdf_url":"https://journal-bcs.springeropen.com/track/pdf/10.1186/s13173-018-0073-3","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal-bcs.springeropen.com/track/pdf/10.1186/s13173-018-0073-3","any_repository_has_fulltext":true},"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":true,"raw_author_name":"Pedro Garcia Freitas","raw_affiliation_strings":["Department of Computer Science, University of Bras\u00edlia, Campus Universit\u00e1rio Darcy Ribeiro, Bras\u00edlia - DF, 70919-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bras\u00edlia, Campus Universit\u00e1rio Darcy Ribeiro, Bras\u00edlia - DF, 70919-970, 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":["Department of Electrical Engineering, University of Bras\u00edlia, Campus Universit\u00e1rio Darcy Ribeiro, Bras\u00edlia - DF, 70919-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Bras\u00edlia, Campus Universit\u00e1rio Darcy Ribeiro, Bras\u00edlia - DF, 70919-970, 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":["Department of Electrical Engineering, University of Bras\u00edlia, Campus Universit\u00e1rio Darcy Ribeiro, Bras\u00edlia - DF, 70919-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Bras\u00edlia, Campus Universit\u00e1rio Darcy Ribeiro, Bras\u00edlia - DF, 70919-970, Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011069017"],"corresponding_institution_ids":["https://openalex.org/I150729083"],"apc_list":null,"apc_paid":null,"fwci":0.3191,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62422344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"1","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":1.0,"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":1.0,"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":0.9948999881744385,"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/T11019","display_name":"Image Enhancement Techniques","score":0.991100013256073,"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/computer-science","display_name":"Computer science","score":0.7439481019973755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.727635383605957},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6953285336494446},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6383129358291626},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5626437664031982},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5377291440963745},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5011556148529053},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4297102689743042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4116928279399872},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3591858744621277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33299487829208374},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.21746587753295898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439481019973755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.727635383605957},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6953285336494446},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6383129358291626},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5626437664031982},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5377291440963745},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5011556148529053},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4297102689743042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4116928279399872},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3591858744621277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33299487829208374},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.21746587753295898},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13173-018-0073-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13173-018-0073-3","pdf_url":"https://journal-bcs.springeropen.com/track/pdf/10.1186/s13173-018-0073-3","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5cc64bafb4b6413a88ef6a826d93e295","is_oa":true,"landing_page_url":"https://doaj.org/article/5cc64bafb4b6413a88ef6a826d93e295","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of the Brazilian Computer Society, Vol 24, Iss 1, Pp 1-16 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13173-018-0073-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13173-018-0073-3","pdf_url":"https://journal-bcs.springeropen.com/track/pdf/10.1186/s13173-018-0073-3","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2886999600.pdf","grobid_xml":"https://content.openalex.org/works/W2886999600.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W874645128","https://openalex.org/W1500262584","https://openalex.org/W1574818812","https://openalex.org/W1678356000","https://openalex.org/W1971014006","https://openalex.org/W1973207880","https://openalex.org/W1974013408","https://openalex.org/W1978191055","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W1993655741","https://openalex.org/W2006902599","https://openalex.org/W2008051965","https://openalex.org/W2009272644","https://openalex.org/W2013237403","https://openalex.org/W2015196405","https://openalex.org/W2018764866","https://openalex.org/W2022371685","https://openalex.org/W2035713052","https://openalex.org/W2037892408","https://openalex.org/W2040959874","https://openalex.org/W2046119925","https://openalex.org/W2051596736","https://openalex.org/W2059968011","https://openalex.org/W2061513831","https://openalex.org/W2063360098","https://openalex.org/W2067921844","https://openalex.org/W2068403421","https://openalex.org/W2073623229","https://openalex.org/W2085448797","https://openalex.org/W2088794999","https://openalex.org/W2094909354","https://openalex.org/W2101234009","https://openalex.org/W2116051282","https://openalex.org/W2124562516","https://openalex.org/W2127913628","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2133963057","https://openalex.org/W2154823510","https://openalex.org/W2161907179","https://openalex.org/W2162692770","https://openalex.org/W2163352848","https://openalex.org/W2165399587","https://openalex.org/W2171349048","https://openalex.org/W2172058006","https://openalex.org/W2191457296","https://openalex.org/W2274405424","https://openalex.org/W2295598076","https://openalex.org/W2295949027","https://openalex.org/W2303076655","https://openalex.org/W2323509952","https://openalex.org/W2332175535","https://openalex.org/W2469565718","https://openalex.org/W2472152852","https://openalex.org/W2509123681","https://openalex.org/W2557218372","https://openalex.org/W2572961056","https://openalex.org/W2583358100","https://openalex.org/W2610255280","https://openalex.org/W2760972116","https://openalex.org/W2783118371","https://openalex.org/W2964213580","https://openalex.org/W3101685095","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W2153027217","https://openalex.org/W4231274751"],"abstract_inverted_index":{"In":[0],"most":[1],"practical":[2],"multimedia":[3,84],"applications,":[4],"processes":[5,14],"are":[6,159,164,182,199],"used":[7,200],"to":[8,29,58,124,193,203],"manipulate":[9],"the":[10,39,66,79,93,102,134,145,167,212],"image":[11,45,104,113],"content.":[12],"These":[13,86],"include":[15],"compression,":[16],"transmission,":[17],"or":[18,99],"restoration":[19],"techniques,":[20],"which":[21,118,158],"often":[22],"create":[23],"distortions":[24],"that":[25,36,77,181,211],"may":[26],"be":[27],"visible":[28],"human":[30,54],"subjects.":[31],"The":[32,128],"design":[33],"of":[34,81,91,101,133,144,166,176],"algorithms":[35],"can":[37,56,88],"estimate":[38,78],"visual":[40],"similarity":[41],"between":[42],"a":[43,53,110,189,195,204],"distorted":[44,103],"and":[46,155,217],"its":[47],"non-distorted":[48],"version,":[49],"as":[50,201],"perceived":[51],"by":[52],"viewer,":[55],"lead":[57],"significant":[59,120],"improvements":[60,121],"in":[61,83,161],"these":[62,177],"processes.":[63],"Therefore,":[64],"over":[65],"last":[67],"decades,":[68],"researchers":[69],"have":[70],"been":[71],"developing":[72],"quality":[73,80,114,186],"metrics":[74,87],"(i.e.,":[75],"algorithms)":[76],"images":[82],"applications.":[85],"make":[89],"use":[90],"either":[92],"full":[94],"pristine":[95],"content":[96],"(full-reference":[97],"metrics)":[98],"only":[100],"(referenceless":[105],"metric).":[106],"This":[107],"paper":[108],"introduces":[109],"novel":[111],"referenceless":[112],"assessment":[115],"(RIQA)":[116],"metric,":[117],"provides":[119],"when":[122],"compared":[123],"other":[125,220],"state-of-the-art":[126,221],"methods.":[127,223],"proposed":[129,160,213],"method":[130,214],"combines":[131],"statistics":[132,143],"opposite":[135,146,168],"color":[136,147,169],"local":[137,148,170],"variance":[138],"pattern":[139,150,172],"(OC-LVP)":[140],"descriptor":[141],"with":[142],"salient":[149],"(OC-LSP)":[151],"descriptor.":[152],"Both":[153],"OC-LVP":[154],"OC-LSP":[156],"descriptors,":[157],"this":[162],"paper,":[163],"extensions":[165],"binary":[171],"(OC-LBP)":[173],"operator.":[174],"Statistics":[175],"operators":[178],"generate":[179],"features":[180,198],"mapped":[183],"into":[184],"subjective":[185],"scores":[187],"using":[188],"machine-learning":[190],"approach.":[191],"Specifically,":[192],"fit":[194],"predictive":[196],"model,":[197],"input":[202],"gradient":[205],"boosting":[206],"machine":[207],"(GBM).":[208],"Results":[209],"show":[210],"is":[215],"robust":[216],"accurate,":[218],"outperforming":[219],"RIQA":[222]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
