{"id":"https://openalex.org/W2034110471","doi":"https://doi.org/10.1109/icip.2008.4711923","title":"Dominant Texture Descriptors for image classification and retrieval","display_name":"Dominant Texture Descriptors for image classification and retrieval","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2034110471","doi":"https://doi.org/10.1109/icip.2008.4711923","mag":"2034110471"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5113281362","display_name":"Aleksey Fadeev","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aleksey Fadeev","raw_affiliation_strings":["Multimedia Research Lab, CECS Dept, University of Louisville","CECS Dept., Univ. of Louisville, Louisville, KY"],"affiliations":[{"raw_affiliation_string":"Multimedia Research Lab, CECS Dept, University of Louisville","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"CECS Dept., Univ. of Louisville, Louisville, KY","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044691751","display_name":"Hichem Frigui","orcid":"https://orcid.org/0000-0002-8281-1629"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hichem Frigui","raw_affiliation_strings":["Multimedia Research Lab, CECS Dept, University of Louisville","CECS Dept., Univ. of Louisville, Louisville, KY"],"affiliations":[{"raw_affiliation_string":"Multimedia Research Lab, CECS Dept, University of Louisville","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"CECS Dept., Univ. of Louisville, Louisville, KY","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113281362"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.08379572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"989","last_page":"992"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9782999753952026,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7934858798980713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.764333963394165},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.7087914347648621},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6832224130630493},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6472969055175781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6013953685760498},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.5684103965759277},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5352431535720825},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49277642369270325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4792240262031555},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4788236916065216},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4505768120288849},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.44944289326667786},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44208836555480957},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3560439944267273},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.34620362520217896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33663296699523926}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7934858798980713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.764333963394165},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.7087914347648621},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6832224130630493},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6472969055175781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6013953685760498},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5684103965759277},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5352431535720825},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49277642369270325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4792240262031555},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4788236916065216},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4505768120288849},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.44944289326667786},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44208836555480957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3560439944267273},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.34620362520217896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33663296699523926},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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":1,"locations":[{"id":"doi:10.1109/icip.2008.4711923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1837120581","https://openalex.org/W2031240623","https://openalex.org/W2096127742","https://openalex.org/W2098986677","https://openalex.org/W2109506130","https://openalex.org/W2110482401","https://openalex.org/W2125148312","https://openalex.org/W2136733886"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W2035842265"],"abstract_inverted_index":{"In":[0],"this":[1,75],"paper,":[2],"we":[3],"propose":[4],"a":[5,14,108],"generic":[6],"approach":[7,76],"for":[8,77,142],"representing":[9],"image":[10],"texture":[11,40,98],"features":[12,41],"in":[13],"compact":[15],"and":[16,42,47,89,134],"intuitive":[17],"way.":[18],"Our":[19],"approach,":[20],"called":[21],"Dominant":[22],"Texture":[23],"Descriptor":[24],"(DTD),":[25],"is":[26,34,101,130],"inspired":[27],"by":[28,103,139],"the":[29,38,44,58,63,67,78,85,96,122],"dominant":[30,45,71],"color":[31,112],"descriptor.":[32],"It":[33],"based":[35],"on":[36],"clustering":[37],"local":[39],"identifying":[43],"components":[46],"their":[48],"spatial":[49,64],"distribution.":[50],"We":[51,73,125],"also":[52],"present":[53],"an":[54],"enhanced":[55],"version":[56],"of":[57,66,80,95,110],"DTD":[59],"(eDTD)":[60],"that":[61,127],"encodes":[62],"distribution":[65],"pixels":[68],"within":[69],"each":[70],"component.":[72],"illustrate":[74],"case":[79],"two":[81],"well-known":[82],"descriptors,":[83],"namely,":[84],"MPEG-7":[86],"Edge":[87],"Histogram,":[88],"Ga-":[90],"bor":[91],"texture.":[92,146],"The":[93],"performance":[94],"proposed":[97],"feature":[99],"representation":[100,129],"illustrated":[102],"using":[104,121],"it":[105],"to":[106],"classify":[107],"collection":[109],"900":[111],"images.":[113],"Experimental":[114],"results":[115,138],"are":[116],"compared":[117],"with":[118,144],"those":[119],"obtained":[120],"traditional":[123],"approaches.":[124],"show":[126],"our":[128],"more":[131],"compact,":[132],"interpretable,":[133],"could":[135],"improve":[136],"classification":[137],"10%-20%,":[140],"especially":[141],"images":[143],"non-homogeneous":[145]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
