{"id":"https://openalex.org/W2109583775","doi":"https://doi.org/10.1109/tip.2011.2108663","title":"Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework","display_name":"Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework","publication_year":2011,"publication_date":"2011-01-28","ids":{"openalex":"https://openalex.org/W2109583775","doi":"https://doi.org/10.1109/tip.2011.2108663","mag":"2109583775","pmid":"https://pubmed.ncbi.nlm.nih.gov/21278016"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2011.2108663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2108663","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086935121","display_name":"Roland Kwitt","orcid":"https://orcid.org/0000-0001-9947-4465"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"R Kwitt","raw_affiliation_strings":["Department of Computer Sciences, University of Salzburg, Salzburg, Austria. rkwitt@cosy.sbg.ac.at","Department of Computer Sciences, University of Salzburg, Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, Austria. rkwitt@cosy.sbg.ac.at","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085959212","display_name":"Peter Meerwald","orcid":"https://orcid.org/0000-0002-3025-9393"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"P Meerwald","raw_affiliation_strings":["Institut National de Recherches en Informatique et Automatique, Rennes, France","University of Salzburg, Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Institut National de Recherches en Informatique et Automatique, Rennes, France","institution_ids":[]},{"raw_affiliation_string":"University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A Uhl","raw_affiliation_strings":["Department of Computer Sciences, University of Salzburg, Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086935121"],"corresponding_institution_ids":["https://openalex.org/I182212641"],"apc_list":null,"apc_paid":null,"fwci":6.4393,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.97349849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"7","first_page":"2063","last_page":"2077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955999851226807,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9882000088691711,"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":0.7796714305877686},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7004633545875549},{"id":"https://openalex.org/keywords/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.5875539779663086},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5451393127441406},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.49528685212135315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.483706533908844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4403195381164551},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.43093299865722656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4203827977180481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3337728977203369},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30240780115127563},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2780507802963257},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27194976806640625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796714305877686},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7004633545875549},{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.5875539779663086},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5451393127441406},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.49528685212135315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.483706533908844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4403195381164551},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.43093299865722656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4203827977180481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3337728977203369},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30240780115127563},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2780507802963257},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27194976806640625}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2011.2108663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2108663","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:21278016","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21278016","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:CiteSeerX.psu:10.1.1.185.2515","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.2515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wavelab.at/papers/Kwitt11a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W105785986","https://openalex.org/W1415072653","https://openalex.org/W1487543164","https://openalex.org/W1522129951","https://openalex.org/W1558079313","https://openalex.org/W1572472426","https://openalex.org/W1610965278","https://openalex.org/W1677381129","https://openalex.org/W1770825568","https://openalex.org/W1969682141","https://openalex.org/W1988291125","https://openalex.org/W1995565517","https://openalex.org/W1995945562","https://openalex.org/W2015339214","https://openalex.org/W2018332268","https://openalex.org/W2019162516","https://openalex.org/W2020292575","https://openalex.org/W2030362233","https://openalex.org/W2039051707","https://openalex.org/W2049633694","https://openalex.org/W2059049776","https://openalex.org/W2061750459","https://openalex.org/W2064186236","https://openalex.org/W2066449383","https://openalex.org/W2066528809","https://openalex.org/W2077539480","https://openalex.org/W2081825416","https://openalex.org/W2094438648","https://openalex.org/W2096265622","https://openalex.org/W2097472706","https://openalex.org/W2098280243","https://openalex.org/W2098347925","https://openalex.org/W2106138042","https://openalex.org/W2106216163","https://openalex.org/W2111727749","https://openalex.org/W2113816497","https://openalex.org/W2116051282","https://openalex.org/W2119445186","https://openalex.org/W2119938170","https://openalex.org/W2125148312","https://openalex.org/W2126829392","https://openalex.org/W2127006916","https://openalex.org/W2128989367","https://openalex.org/W2129276048","https://openalex.org/W2130046005","https://openalex.org/W2130343993","https://openalex.org/W2132204758","https://openalex.org/W2134929491","https://openalex.org/W2135346934","https://openalex.org/W2137538638","https://openalex.org/W2138166029","https://openalex.org/W2139210474","https://openalex.org/W2139261503","https://openalex.org/W2139282590","https://openalex.org/W2141020375","https://openalex.org/W2141637993","https://openalex.org/W2142635246","https://openalex.org/W2144797085","https://openalex.org/W2146294052","https://openalex.org/W2147457207","https://openalex.org/W2150120413","https://openalex.org/W2151045274","https://openalex.org/W2152100107","https://openalex.org/W2152773182","https://openalex.org/W2153047385","https://openalex.org/W2160397302","https://openalex.org/W2161742990","https://openalex.org/W2163402412","https://openalex.org/W2163534628","https://openalex.org/W2166982406","https://openalex.org/W2167491574","https://openalex.org/W2168175751","https://openalex.org/W2168796889","https://openalex.org/W2168977926","https://openalex.org/W2170896097","https://openalex.org/W2171288992","https://openalex.org/W2313299119","https://openalex.org/W2407387852","https://openalex.org/W2432517183","https://openalex.org/W2507039649","https://openalex.org/W2610184409","https://openalex.org/W2798180542","https://openalex.org/W2801179766","https://openalex.org/W2907233437","https://openalex.org/W2913399920","https://openalex.org/W2914885528","https://openalex.org/W2981264952","https://openalex.org/W3106889297","https://openalex.org/W3149745985","https://openalex.org/W4244017338","https://openalex.org/W4251400566","https://openalex.org/W4256431090","https://openalex.org/W4285719527","https://openalex.org/W4300223101","https://openalex.org/W6634070576","https://openalex.org/W6679285675"],"related_works":["https://openalex.org/W2547029902","https://openalex.org/W2077021924","https://openalex.org/W2960611766","https://openalex.org/W2106653363","https://openalex.org/W2416959398","https://openalex.org/W1517207589","https://openalex.org/W1595732891","https://openalex.org/W2205192157","https://openalex.org/W2134446325","https://openalex.org/W2272518945"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,120],"investigate":[4],"a":[5,25,90,102,122,133],"novel":[6,71],"joint":[7,33],"statistical":[8],"model":[9,34,72,123],"for":[10,28],"subband":[11],"coefficient":[12,63],"magnitudes":[13],"of":[14,43,69,76,92,106,116],"the":[15,38,44,67,70,74,96,107,138],"dual-tree":[16],"complex":[17],"wavelet":[18],"transform,":[19],"which":[20,136],"is":[21],"then":[22],"coupled":[23],"to":[24,36,55,89],"Bayesian":[26],"framework":[27],"content-based":[29],"image":[30,83,143],"retrieval.":[31],"The":[32],"allows":[35],"capture":[37],"association":[39],"among":[40],"transform":[41],"coefficients":[42],"same":[45],"decomposition":[46],"scale":[47],"and":[48,85,113,132],"different":[49],"color":[50,77],"channels.":[51],"It":[52],"further":[53,100],"facilitates":[54],"incorporate":[56],"recent":[57],"research":[58],"work":[59],"on":[60,80,141],"modeling":[61],"marginal":[62],"distributions.":[64],"We":[65],"demonstrate":[66],"applicability":[68],"in":[73,95],"context":[75],"texture":[78,82],"retrieval":[79,87,130],"four":[81],"databases":[84],"compare":[86],"performance":[88],"collection":[91],"state-of-the-art":[93],"approaches":[94],"field.":[97],"Our":[98],"experiments":[99],"include":[101],"thorough":[103],"computational":[104],"analysis":[105,115],"main":[108],"building":[109],"blocks,":[110],"runtime":[111,134],"measurements,":[112],"an":[114],"storage":[117,127],"requirements.":[118],"Eventually,":[119],"identify":[121],"configuration":[124],"with":[125],"low":[126],"requirements,":[128],"competitive":[129],"accuracy,":[131],"behavior,":[135],"enables":[137],"deployment":[139],"even":[140],"large":[142],"databases.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":8}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
