{"id":"https://openalex.org/W2121803089","doi":"https://doi.org/10.1109/cvpr.2009.5206741","title":"Combining powerful local and global statistics for texture description","display_name":"Combining powerful local and global statistics for texture description","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2121803089","doi":"https://doi.org/10.1109/cvpr.2009.5206741","mag":"2121803089"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206741","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Xu","raw_affiliation_strings":["School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014743466","display_name":"Sibin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"SiBin Huang","raw_affiliation_strings":["School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030046423","display_name":"Hui Ji","orcid":"https://orcid.org/0000-0002-1674-6056"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hui Ji","raw_affiliation_strings":["Department of Mathematics, National University of Singapore, Singapore","Dept. of Math., Nat. Univ.of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Dept. of Math., Nat. Univ.of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083553427","display_name":"Cornelia Ferm\u00fcller","orcid":"https://orcid.org/0000-0003-2044-2386"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cornelia Fermuller","raw_affiliation_strings":["Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA","[Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA]"],"affiliations":[{"raw_affiliation_string":"Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"[Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA]","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010277066"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.2441,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.83602633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"573","last_page":"580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980999827384949,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multifractal-system","display_name":"Multifractal system","score":0.7126178741455078},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.6537238359451294},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.6494631171226501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6380874514579773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6152533292770386},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5882900953292847},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5727978944778442},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.565610408782959},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5100229382514954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.50790935754776},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48874950408935547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47862568497657776},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.4443434178829193},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.4307122230529785},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42351600527763367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39062589406967163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3527187407016754},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.28310638666152954},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18335214257240295},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12568926811218262}],"concepts":[{"id":"https://openalex.org/C133905733","wikidata":"https://www.wikidata.org/wiki/Q2629238","display_name":"Multifractal system","level":3,"score":0.7126178741455078},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.6537238359451294},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.6494631171226501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6380874514579773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152533292770386},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5882900953292847},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5727978944778442},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.565610408782959},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5100229382514954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.50790935754776},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48874950408935547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47862568497657776},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.4443434178829193},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.4307122230529785},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42351600527763367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39062589406967163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3527187407016754},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28310638666152954},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18335214257240295},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12568926811218262},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2009.5206741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206741","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.719.2434","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.719.2434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math.nus.edu.sg/%7Ematjh/depository/CVPR_2009_texture.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1484228140","https://openalex.org/W1504907986","https://openalex.org/W1514362499","https://openalex.org/W1542408279","https://openalex.org/W1999788007","https://openalex.org/W2000215441","https://openalex.org/W2078206416","https://openalex.org/W2109506130","https://openalex.org/W2111560940","https://openalex.org/W2112020727","https://openalex.org/W2118773079","https://openalex.org/W2120515362","https://openalex.org/W2125555749","https://openalex.org/W2129391100","https://openalex.org/W2136952136","https://openalex.org/W2137909049","https://openalex.org/W2146622769","https://openalex.org/W2150920547","https://openalex.org/W2151103935","https://openalex.org/W2164039212","https://openalex.org/W2964631455","https://openalex.org/W3144619878","https://openalex.org/W6632455670","https://openalex.org/W6676491359","https://openalex.org/W6677455715"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W282492026","https://openalex.org/W4212788579","https://openalex.org/W2009092638","https://openalex.org/W2379784589","https://openalex.org/W126549757","https://openalex.org/W2072593978","https://openalex.org/W2501265593","https://openalex.org/W4392720118","https://openalex.org/W2326240252"],"abstract_inverted_index":{"A":[0],"texture":[1],"descriptor":[2,105],"is":[3,54,63,85],"proposed,":[4],"which":[5,62],"combines":[6],"local":[7,32],"highly":[8],"discriminative":[9],"features":[10,35],"with":[11],"the":[12,48,51,58,82,104,110,115],"global":[13],"statistics":[14],"of":[15,47,81],"fractal":[16,52],"geometry":[17],"to":[18,26,56,65,72,75],"achieve":[19,73],"high":[20],"descriptive":[21],"power,":[22],"but":[23],"also":[24],"invariance":[25],"geometric":[27,66],"and":[28,43,68],"illumination":[29,69],"transformations.":[30],"As":[31],"measurements":[33,50],"SIFT":[34],"are":[36],"estimated":[37],"densely":[38],"at":[39],"multiple":[40],"window":[41],"sizes":[42],"discretized.":[44],"On":[45],"each":[46],"discretized":[49],"dimension":[53],"computed":[55],"obtain":[57],"so-called":[59],"multifractal":[60,83],"spectrum,":[61],"invariant":[64],"transformations":[67],"changes.":[70],"Finally":[71],"robustness":[74],"scale":[76],"changes,":[77],"a":[78,88,93],"multi-scale":[79],"representation":[80],"spectrum":[84],"developed":[86],"using":[87],"framelet":[89],"system,":[90],"that":[91,103],"is,":[92],"redundant":[94],"tight":[95],"wavelet":[96],"frame":[97],"system.":[98],"Experiments":[99],"on":[100,109],"classification":[101],"demonstrate":[102],"outperforms":[106],"existing":[107],"methods":[108],"UIUC":[111],"as":[112,114],"well":[113],"UMD":[116],"high-resolution":[117],"dataset.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
