{"id":"https://openalex.org/W2113468320","doi":"https://doi.org/10.1109/iti.2009.5196090","title":"Combining and selecting indicators for image quality assesment","display_name":"Combining and selecting indicators for image quality assesment","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2113468320","doi":"https://doi.org/10.1109/iti.2009.5196090","mag":"2113468320"},"language":"en","primary_location":{"id":"doi:10.1109/iti.2009.5196090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iti.2009.5196090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces","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/A5041152391","display_name":"Atidel Lahouhou","orcid":null},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Atidel Lahouhou","raw_affiliation_strings":["Institut Galil\u00e9e, Laboratoire de Traitement et Transport de lInformation, Universit\u00e9 Paris 13, France","Laboratoire de Traitement et Transport de l'Information, Institut Galil\u00e9e - Universit\u00e9 Paris 13, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Galil\u00e9e, Laboratoire de Traitement et Transport de lInformation, Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire de Traitement et Transport de l'Information, Institut Galil\u00e9e - Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063862691","display_name":"Emmanuel Viennet","orcid":"https://orcid.org/0009-0004-0922-2934"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuel Viennet","raw_affiliation_strings":["Institut Galil\u00e9e, Laboratoire de Traitement et Transport de lInformation, Universit\u00e9 Paris 13, France","Laboratoire de Traitement et Transport de l'Information, Institut Galil\u00e9e - Universit\u00e9 Paris 13, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Galil\u00e9e, Laboratoire de Traitement et Transport de lInformation, Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire de Traitement et Transport de l'Information, Institut Galil\u00e9e - Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010658612","display_name":"Azeddine Beghdadi","orcid":"https://orcid.org/0000-0002-5595-0615"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Azeddine Beghdadi","raw_affiliation_strings":["Institut Galil\u00e9e, Laboratoire de Traitement et Transport de lInformation, Universit\u00e9 Paris 13, France","Laboratoire de Traitement et Transport de l'Information, Institut Galil\u00e9e - Universit\u00e9 Paris 13, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Galil\u00e9e, Laboratoire de Traitement et Transport de lInformation, Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire de Traitement et Transport de l'Information, Institut Galil\u00e9e - Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2682,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46314249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"261","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9937000274658203,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7389489412307739},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5705355405807495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5328963994979858},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5249890089035034},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46983644366264343},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46432676911354065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44769397377967834},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.42898428440093994},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42112213373184204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4121292233467102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3590015172958374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17865818738937378},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15988433361053467},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.10902506113052368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389489412307739},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5705355405807495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5328963994979858},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5249890089035034},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46983644366264343},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46432676911354065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44769397377967834},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.42898428440093994},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42112213373184204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4121292233467102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3590015172958374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17865818738937378},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15988433361053467},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.10902506113052368},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iti.2009.5196090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iti.2009.5196090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces","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":10,"referenced_works":["https://openalex.org/W53188351","https://openalex.org/W1480376833","https://openalex.org/W1984093524","https://openalex.org/W2000523160","https://openalex.org/W2085518012","https://openalex.org/W2124036825","https://openalex.org/W2132563822","https://openalex.org/W2989949533","https://openalex.org/W3182211633","https://openalex.org/W4205699531"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W4255628145","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2216913934","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2135448764"],"abstract_inverted_index":{"Image":[0],"quality":[1,50],"assessment":[2],"is":[3,19,25,41],"an":[4,74],"important":[5],"component":[6],"in":[7,29,31,55,71],"every":[8],"image":[9,35,49],"processing":[10],"system":[11],"where":[12,37],"the":[13,17,20,32,44,56,64,86,105,112,115],"last":[14],"link":[15],"of":[16,26,34,77,114],"chain":[18],"human":[21],"observer.":[22],"This":[23],"domain":[24],"increasing":[27],"interest,":[28],"particular":[30],"context":[33],"compression":[36],"coding":[38],"scheme":[39],"optimization":[40],"based":[42],"on":[43,118],"distortion":[45],"measure.":[46],"Many":[47],"objective":[48],"measures":[51],"have":[52],"been":[53],"proposed":[54],"literature":[57],"and":[58,80,97],"validated":[59],"by":[60,88],"comparing":[61],"them":[62],"to":[63,102],"Mean":[65],"Opinion":[66],"Score":[67],"(MOS).":[68],"We":[69,91],"propose":[70],"this":[72],"paper":[73],"empirical":[75],"study":[76],"several":[78],"indicators":[79],"show":[81],"how":[82],"one":[83],"can":[84],"improve":[85],"performances":[87],"combining":[89],"them.":[90],"learn":[92],"a":[93],"regularized":[94],"regression":[95],"model":[96],"apply":[98],"variable":[99],"selection":[100],"techniques":[101],"automatically":[103],"find":[104],"most":[106],"relevant":[107],"indicators.":[108],"Our":[109],"technique":[110],"enhances":[111],"state":[113],"art":[116],"results":[117],"two":[119],"publicly":[120],"available":[121],"databases.":[122]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}