{"id":"https://openalex.org/W2583630150","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-219","title":"Dimension reduction-based attributes selection in no-reference learning-based image quality algorithms","display_name":"Dimension reduction-based attributes selection in no-reference learning-based image quality algorithms","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2583630150","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-219","mag":"2583630150"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-219","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-219","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5113477650","display_name":"Christophe Charrier","orcid":"https://orcid.org/0000-0002-3836-9829"},"institutions":[{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Charrier","raw_affiliation_strings":["Equipe SAFE - Laboratoire GREYC - UMR6072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Equipe SAFE - Laboratoire GREYC - UMR6072","institution_ids":["https://openalex.org/I4210139483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086567751","display_name":"Abdelhakim Saadane","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelhakim Saadane","raw_affiliation_strings":["Synth\u00e8se et analyse d'images"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Synth\u00e8se et analyse d'images","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113834159","display_name":"Christine Fern\u00e1ndez-Maloigne","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christine Fernandez-Maloigne","raw_affiliation_strings":["Synth\u00e8se et analyse d'images"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Synth\u00e8se et analyse d'images","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42833283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"12","first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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":0.9998000264167786,"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/T11666","display_name":"Color Science and Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9930999875068665,"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","display_name":"Image (mathematics)","score":0.635809600353241},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6334044933319092},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5882983803749084},{"id":"https://openalex.org/keywords/spearmans-rank-correlation-coefficient","display_name":"Spearman's rank correlation coefficient","score":0.5625212788581848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.560005247592926},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5548127293586731},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5342257022857666},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5298184156417847},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.5227872729301453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514922022819519},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.514349102973938},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5107595920562744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43893104791641235},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4200686514377594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4072631895542145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38460490107536316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.318844199180603}],"concepts":[{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.635809600353241},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6334044933319092},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5882983803749084},{"id":"https://openalex.org/C159744936","wikidata":"https://www.wikidata.org/wiki/Q1126730","display_name":"Spearman's rank correlation coefficient","level":2,"score":0.5625212788581848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.560005247592926},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5548127293586731},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5342257022857666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5298184156417847},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.5227872729301453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514922022819519},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.514349102973938},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5107595920562744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43893104791641235},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4200686514377594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4072631895542145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38460490107536316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.318844199180603},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-219","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-219","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01595888v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01595888","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Image Quality and System Performance Conference, IS&T Electronic Imaging, Jan 2017, Burlingame, United States. pp.15 - 20, ⟨10.2352/ISSN.2470-1173.2017.12.IQSP-219⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1569231865","https://openalex.org/W1659842140","https://openalex.org/W1982471090","https://openalex.org/W2004871019","https://openalex.org/W2006816561","https://openalex.org/W2078995008","https://openalex.org/W2089500640","https://openalex.org/W2102166818","https://openalex.org/W2105143518","https://openalex.org/W2119999314","https://openalex.org/W2124562516","https://openalex.org/W2129644086","https://openalex.org/W2129972025","https://openalex.org/W2130172650","https://openalex.org/W2162692770","https://openalex.org/W2163370434","https://openalex.org/W2169037956","https://openalex.org/W2171349048"],"related_works":["https://openalex.org/W2096962026","https://openalex.org/W2319525095","https://openalex.org/W4251214348","https://openalex.org/W4246497475","https://openalex.org/W2368363712","https://openalex.org/W2031235730","https://openalex.org/W2015540166","https://openalex.org/W1666143004","https://openalex.org/W2153289787","https://openalex.org/W4297787022"],"abstract_inverted_index":{"No-reference":[0],"image":[1,34,47],"quality":[2,35,48],"metrics":[3],"are":[4,50],"of":[5,19,29,42,66,85,101,103],"fundamental":[6],"interest":[7],"as":[8],"they":[9],"can":[10],"be":[11],"embedded":[12],"in":[13,31],"practical":[14],"applications.":[15],"The":[16],"main":[17],"goal":[18],"this":[20,39],"paper":[21],"is":[22,76,94],"to":[23,56,96],"define":[24],"a":[25],"new":[26],"selection":[27],"process":[28],"attributes":[30,41],"no-reference":[32,46],"learning-based":[33],"algorithms.":[36],"To":[37,62],"perform":[38],"selection,":[40],"seven":[43],"well":[44],"known":[45],"algorithms":[49],"analyzed":[51],"and":[52,82],"compared":[53],"with":[54],"respect":[55],"degradations":[57],"present":[58],"into":[59],"the":[60,64,69,79,83,98],"image.":[61],"assess":[63],"performance":[65,102],"these":[67],"algorithms,":[68],"Spearman":[70],"Rank":[71],"Ordered":[72],"Correlation":[73],"Coefficient":[74],"(SROCC)":[75],"computed":[77],"between":[78],"predicted":[80],"values":[81],"MOS":[84],"three":[86],"public":[87],"databases.":[88],"In":[89],"addition,":[90],"an":[91],"hypothesis":[92],"test":[93],"conducted":[95],"evaluate":[97],"statistical":[99],"significance":[100],"each":[104],"tested":[105],"algorithm.":[106]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}