{"id":"https://openalex.org/W3108157557","doi":"https://doi.org/10.1109/tip.2020.3039389","title":"New Approaches for Monitoring Image Data","display_name":"New Approaches for Monitoring Image Data","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3108157557","doi":"https://doi.org/10.1109/tip.2020.3039389","mag":"3108157557","pmid":"https://pubmed.ncbi.nlm.nih.gov/33237860"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3039389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3039389","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/82726/82726.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080712933","display_name":"Yarema Okhrin","orcid":"https://orcid.org/0000-0003-4704-5233"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yarema Okhrin","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany","[Department of Statistics, University of Augsburg, Augsburg, Germany]"],"raw_orcid":"https://orcid.org/0000-0003-4704-5233","affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]},{"raw_affiliation_string":"[Department of Statistics, University of Augsburg, Augsburg, Germany]","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071742989","display_name":"Wolfgang Schmid","orcid":"https://orcid.org/0000-0001-7540-5350"},"institutions":[{"id":"https://openalex.org/I254029264","display_name":"European University Viadrina","ror":"https://ror.org/02msan859","country_code":"DE","type":"education","lineage":["https://openalex.org/I254029264"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Schmid","raw_affiliation_strings":["European University Viadrina, Frankfurt (Oder), Germany","Department of Statistics, European University Viadrina, Frankfurt Oder, Germany#TAB#"],"raw_orcid":"https://orcid.org/0000-0001-7540-5350","affiliations":[{"raw_affiliation_string":"European University Viadrina, Frankfurt (Oder), Germany","institution_ids":["https://openalex.org/I254029264"]},{"raw_affiliation_string":"Department of Statistics, European University Viadrina, Frankfurt Oder, Germany#TAB#","institution_ids":["https://openalex.org/I254029264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034771716","display_name":"Ivan Semeniuk","orcid":"https://orcid.org/0000-0002-3778-1934"},"institutions":[{"id":"https://openalex.org/I254029264","display_name":"European University Viadrina","ror":"https://ror.org/02msan859","country_code":"DE","type":"education","lineage":["https://openalex.org/I254029264"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ivan Semeniuk","raw_affiliation_strings":["European University Viadrina, Frankfurt (Oder), Germany","Department of Statistics, European University Viadrina, Frankfurt Oder, Germany#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-3778-1934","affiliations":[{"raw_affiliation_string":"European University Viadrina, Frankfurt (Oder), Germany","institution_ids":["https://openalex.org/I254029264"]},{"raw_affiliation_string":"Department of Statistics, European University Viadrina, Frankfurt Oder, Germany#TAB#","institution_ids":["https://openalex.org/I254029264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81913824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"921","last_page":"933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7150038480758667},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.6098822355270386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5915960669517517},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5811164379119873},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4913922846317291},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4807407855987549},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4751962423324585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4726002812385559},{"id":"https://openalex.org/keywords/control-limits","display_name":"Control limits","score":0.4624389111995697},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45030084252357483},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.429054856300354},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4134420156478882},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41030535101890564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4013431668281555},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3735363483428955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36446183919906616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35885101556777954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3373672366142273}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7150038480758667},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.6098822355270386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5915960669517517},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5811164379119873},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4913922846317291},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4807407855987549},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4751962423324585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4726002812385559},{"id":"https://openalex.org/C166623804","wikidata":"https://www.wikidata.org/wiki/Q5165860","display_name":"Control limits","level":4,"score":0.4624389111995697},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45030084252357483},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.429054856300354},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4134420156478882},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41030535101890564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4013431668281555},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3735363483428955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36446183919906616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35885101556777954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3373672366142273},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2020.3039389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3039389","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:33237860","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33237860","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:82726","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-827267","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/82726/82726.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:82726","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-827267","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/82726/82726.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3108157557.pdf","grobid_xml":"https://content.openalex.org/works/W3108157557.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W102770756","https://openalex.org/W146619314","https://openalex.org/W163398912","https://openalex.org/W247104752","https://openalex.org/W1499975567","https://openalex.org/W1540893961","https://openalex.org/W1581825006","https://openalex.org/W1584812871","https://openalex.org/W1587041568","https://openalex.org/W1664431191","https://openalex.org/W1966150361","https://openalex.org/W1973156630","https://openalex.org/W1975061413","https://openalex.org/W1994449045","https://openalex.org/W2007854896","https://openalex.org/W2028895542","https://openalex.org/W2029784228","https://openalex.org/W2030430662","https://openalex.org/W2034994326","https://openalex.org/W2054796415","https://openalex.org/W2055701391","https://openalex.org/W2062125287","https://openalex.org/W2081874429","https://openalex.org/W2111023068","https://openalex.org/W2116044718","https://openalex.org/W2142955084","https://openalex.org/W2150600919","https://openalex.org/W2154851027","https://openalex.org/W2165406227","https://openalex.org/W2171261408","https://openalex.org/W2257126868","https://openalex.org/W2320918358","https://openalex.org/W2328953292","https://openalex.org/W2615831239","https://openalex.org/W2734525966","https://openalex.org/W2737474163","https://openalex.org/W2750340452","https://openalex.org/W2791747180","https://openalex.org/W2799625966","https://openalex.org/W2803222156","https://openalex.org/W2902298309","https://openalex.org/W2924593154","https://openalex.org/W3044182632","https://openalex.org/W3044188019","https://openalex.org/W4210653751","https://openalex.org/W4253964759","https://openalex.org/W6682344696","https://openalex.org/W6692067499"],"related_works":["https://openalex.org/W899903224","https://openalex.org/W2010796292","https://openalex.org/W2525099062","https://openalex.org/W2912756677","https://openalex.org/W2893207594","https://openalex.org/W4242728521","https://openalex.org/W1985694811","https://openalex.org/W2732724927","https://openalex.org/W2070385060","https://openalex.org/W2034053310"],"abstract_inverted_index":{"In":[0],"this":[1,40,116],"paper,":[2],"we":[3,42,118,141],"develop":[4],"new":[5],"techniques":[6],"for":[7],"monitoring":[8],"image":[9,36,60],"processes":[10],"under":[11],"a":[12,64,109,113,154],"fairly":[13],"general":[14],"setting":[15],"with":[16],"spatially":[17],"correlated":[18],"pixels":[19,27],"in":[20,108],"the":[21,26,58,68,79,90,93,97,131,143,149],"image.":[22],"Monitoring":[23],"and":[24,103],"handling":[25],"directly":[28],"is":[29],"infeasible":[30],"due":[31],"to":[32,63],"an":[33,137],"extremely":[34],"high":[35,100],"resolution.":[37],"To":[38],"overcome":[39],"problem,":[41],"suggest":[43,119],"control":[44,85,122,146],"charts":[45,76,123,147],"that":[46,124],"are":[47,70],"based":[48,77],"on":[49,78,89],"regions":[50,54],"of":[51,55,92,96,115,130],"interest.":[52],"The":[53],"interest":[56],"cover":[57],"original":[59],"which":[61],"leads":[62],"dimension":[65],"reduction.":[66],"Nevertheless,":[67],"data":[69],"still":[71],"high-dimensional.":[72],"We":[73],"consider":[74],"residual":[75],"generalized":[80,132],"likelihood":[81,133],"ratio":[82,134],"approach.":[83],"Existing":[84],"statistics":[86],"typically":[87],"depend":[88],"inverse":[91],"covariance":[94],"matrix":[95],"process,":[98],"involving":[99],"computing":[101],"times":[102],"frequently":[104],"generating":[105],"instable":[106],"results":[107],"high-dimensional":[110],"setting.":[111],"As":[112],"solution":[114],"issue,":[117],"two":[120],"further":[121],"can":[125],"be":[126],"regarded":[127],"as":[128,153],"modifications":[129],"statistic.":[135],"Within":[136],"extensive":[138],"simulation":[139],"study,":[140],"compare":[142],"newly":[144],"proposed":[145],"using":[148],"median":[150],"run":[151],"length":[152],"performance":[155],"criterion.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}