{"id":"https://openalex.org/W2891991254","doi":"https://doi.org/10.1109/qomex.2018.8463384","title":"Disregarding the Big Picture: Towards Local Image Quality Assessment","display_name":"Disregarding the Big Picture: Towards Local Image Quality Assessment","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2891991254","doi":"https://doi.org/10.1109/qomex.2018.8463384","mag":"2891991254"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2018.8463384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2018.8463384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","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/A5090032269","display_name":"Oliver Wiedemann","orcid":"https://orcid.org/0000-0001-9534-126X"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Oliver Wiedemann","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020653666","display_name":"Vlad Hosu","orcid":"https://orcid.org/0000-0001-7070-5688"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vlad Hosu","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017486777","display_name":"Hanhe Lin","orcid":"https://orcid.org/0000-0002-0297-3549"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hanhe Lin","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008717316","display_name":"Dietmar Saupe","orcid":"https://orcid.org/0000-0001-6735-5103"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dietmar Saupe","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090032269"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":0.9569,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81268968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9952999949455261,"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":0.7433847188949585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7105345726013184},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6861770153045654},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6050064563751221},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6005041003227234},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5674698948860168},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.5611898899078369},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5460079908370972},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5365282297134399},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5125067234039307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.506506085395813},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.4553873538970947},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4340878427028656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3219790458679199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3214360773563385},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.15905746817588806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433847188949585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7105345726013184},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6861770153045654},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6050064563751221},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6005041003227234},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5674698948860168},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.5611898899078369},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5460079908370972},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5365282297134399},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5125067234039307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.506506085395813},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.4553873538970947},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4340878427028656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3219790458679199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3214360773563385},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.15905746817588806},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/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},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/qomex.2018.8463384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2018.8463384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:discovery.dundee.ac.uk:openaire_cris_publications/9719a6ba-94f2-4e2f-94cc-1a14b085dc50","is_oa":false,"landing_page_url":"https://discovery.dundee.ac.uk/en/publications/9719a6ba-94f2-4e2f-94cc-1a14b085dc50","pdf_url":null,"source":{"id":"https://openalex.org/S4306400523","display_name":"Discovery Research Portal (University of Dundee)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177639307","host_organization_name":"University of Dundee","host_organization_lineage":["https://openalex.org/I177639307"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wiedemann, O, Hosu, V, Lin, H & Saupe, D 2018, Disregarding the big picture : towards local image quality assessment. in 2018 10th International Conference on Quality of Multimedia Experience (QoMEX 2018)., 8463384, 2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018, IEEE, 10th International Conference on Quality of Multimedia Experience, QoMEX 2018, Sardinia, Italy, 29/05/18. https://doi.org/10.1109/QoMEX.2018.8463384","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1982471090","https://openalex.org/W1984066865","https://openalex.org/W2051596736","https://openalex.org/W2068403421","https://openalex.org/W2073623229","https://openalex.org/W2085518012","https://openalex.org/W2117539524","https://openalex.org/W2129644086","https://openalex.org/W2162692770","https://openalex.org/W2163370434","https://openalex.org/W2168023013","https://openalex.org/W2194775991","https://openalex.org/W2217895792","https://openalex.org/W2287569001","https://openalex.org/W2324971623","https://openalex.org/W2509123681","https://openalex.org/W2793454839","https://openalex.org/W2896261175","https://openalex.org/W2963446712","https://openalex.org/W3102733987","https://openalex.org/W4211253871","https://openalex.org/W6663470086","https://openalex.org/W6667535573","https://openalex.org/W6684791271","https://openalex.org/W6687483927","https://openalex.org/W6688775149","https://openalex.org/W6701249984","https://openalex.org/W6725739302"],"related_works":["https://openalex.org/W2033549879","https://openalex.org/W2013629269","https://openalex.org/W3194862240","https://openalex.org/W2096935541","https://openalex.org/W4221158116","https://openalex.org/W2943685190","https://openalex.org/W4206325381","https://openalex.org/W2466958844","https://openalex.org/W4226186675","https://openalex.org/W1967325901"],"abstract_inverted_index":{"Image":[0],"quality":[1,70,92,105],"has":[2],"been":[3],"studied":[4],"almost":[5],"exclusively":[6],"as":[7,109],"a":[8,27,41,50,77,135,157],"global":[9,97,120,128],"image":[10,129],"property.":[11],"It":[12],"is":[13],"common":[14],"practice":[15],"for":[16],"IQA":[17,38],"databases":[18],"and":[19,79],"metrics":[20],"to":[21,36,65,119,126,140,150],"quantify":[22],"this":[23,63],"abstract":[24],"concept":[25],"with":[26,96,134,156],"single":[28],"number":[29],"per":[30],"image.":[31],"We":[32,61,87,131],"propose":[33],"an":[34],"approach":[35],"blind":[37],"based":[39],"on":[40,49,161],"convolutional":[42],"neural":[43],"network":[44],"(patchnet)":[45],"that":[46,89,123],"was":[47],"trained":[48,125],"novel":[51],"set":[52],"of":[53,58,72,83,104,112,153,159],"32,000":[54],"individually":[55],"annotated":[56],"patches":[57],"64\u00d764":[59],"pixel.":[60],"use":[62],"model":[64,147],"generate":[66],"spatially":[67],"small":[68],"local":[69,91],"maps":[71],"images":[73],"taken":[74],"from":[75],"KonIQ-10k,":[76],"large":[78],"diverse":[80],"in-the-wild":[81],"database":[82],"authentically":[84],"distorted":[85],"images.":[86],"show":[88],"our":[90],"indicator":[93],"correlates":[94],"well":[95],"MOS,":[98],"going":[99],"beyond":[100],"the":[101,151,154],"predictive":[102],"ability":[103],"related":[106],"attributes":[107],"such":[108],"sharpness.":[110],"Averaging":[111],"patchnet":[113],"predictions":[114],"already":[115],"outperforms":[116],"classical":[117],"approaches":[118],"MOS":[121],"prediction":[122],"were":[124],"include":[127],"features.":[130],"additionally":[132],"experiment":[133],"generic":[136],"second-stage":[137],"aggregation":[138],"CNN":[139],"estimate":[141],"mean":[142],"opinion":[143],"scores.":[144],"Our":[145],"latter":[146],"performs":[148],"comparable":[149],"state":[152],"art":[155],"PLCC":[158],"0.81":[160],"KonIQ-10k.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}