{"id":"https://openalex.org/W2001570307","doi":"https://doi.org/10.1109/icmcs.2014.6911333","title":"Compactifying multi-dimensional LBP variance texture descriptors based on DCT and feature reduction","display_name":"Compactifying multi-dimensional LBP variance texture descriptors based on DCT and feature reduction","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2001570307","doi":"https://doi.org/10.1109/icmcs.2014.6911333","mag":"2001570307"},"language":"en","primary_location":{"id":"doi:10.1109/icmcs.2014.6911333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2014.6911333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Multimedia Computing and Systems (ICMCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026723956","display_name":"Niraj P. Doshi","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Niraj P. Doshi","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K","[Department of Computer Science, Loughborough University, U.K.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"[Department of Computer Science, Loughborough University, U.K.]","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105462955","display_name":"Gerald Schaefer","orcid":"https://orcid.org/0000-0003-1292-7674"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gerald Schaefer","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K","[Department of Computer Science, Loughborough University, U.K.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"[Department of Computer Science, Loughborough University, U.K.]","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"480","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.9714000225067139,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.7872563600540161},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7380844950675964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7247757315635681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6960731148719788},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6493831872940063},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6146641969680786},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5117220878601074},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5021307468414307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49437451362609863},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.476001113653183},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.4664463698863983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44555380940437317},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4425663948059082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39965468645095825},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1654457151889801},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13785064220428467}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7872563600540161},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7380844950675964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7247757315635681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6960731148719788},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6493831872940063},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6146641969680786},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5117220878601074},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5021307468414307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49437451362609863},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.476001113653183},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.4664463698863983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44555380940437317},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4425663948059082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39965468645095825},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1654457151889801},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13785064220428467},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/icmcs.2014.6911333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2014.6911333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Multimedia Computing and Systems (ICMCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1521323829","https://openalex.org/W1985636418","https://openalex.org/W2039051707","https://openalex.org/W2065784373","https://openalex.org/W2087089630","https://openalex.org/W2148603752","https://openalex.org/W2153635508","https://openalex.org/W2159988601","https://openalex.org/W2163352848","https://openalex.org/W2172000360","https://openalex.org/W6631108306","https://openalex.org/W6672118376"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2058306460","https://openalex.org/W2955952267","https://openalex.org/W2076436625","https://openalex.org/W2083564146","https://openalex.org/W2148428954","https://openalex.org/W2049095871","https://openalex.org/W2165772202"],"abstract_inverted_index":{"Texture":[0],"analysis":[1,151],"and":[2,9,21,45,96,116,136,156],"classification":[3,162],"have":[4,10],"received":[5],"significant":[6],"research":[7],"interest":[8],"been":[11],"shown":[12],"to":[13,54,69,81,119],"be":[14,64],"essential":[15],"in":[16,88],"many":[17],"computer":[18],"vision":[19],"systems":[20],"applications.":[22],"Local":[23],"binary":[24],"patterns":[25,115],"(LBP)":[26],"are":[27,46,84],"powerful":[28],"yet":[29],"simple":[30,42],"texture":[31,36,57,121,158],"descriptors":[32,159],"which":[33],"describe":[34],"the":[35,78,103,106,128],"neighbourhood":[37,52],"of":[38,91,113,133],"a":[39,89,110],"pixel":[40],"using":[41],"comparison":[43],"operators,":[44],"often":[47],"calculated":[48],"based":[49,141],"on":[50,142],"varying":[51],"radii":[53,83],"provide":[55],"multi-resolution":[56],"description.":[58],"Furthermore,":[59],"local":[60],"contrast":[61],"information":[62,92],"can":[63,117,153],"integrated":[65],"into":[66],"LBP":[67,70,76],"leading":[68],"variance":[71],"(LBPV)":[72],"features.":[73],"In":[74,123],"conventional":[75],"methods,":[77],"histograms":[79],"corresponding":[80],"different":[82,94],"simply":[85],"concatenated":[86],"resulting":[87],"loss":[90],"between":[93,105],"resolutions":[95],"added":[97],"ambiguity.":[98],"Multi-dimensional":[99],"LBPV":[100,114],"(MD-LBPV)":[101],"preserves":[102],"relationships":[104],"scales":[107],"by":[108],"building":[109],"multi-dimensional":[111],"histogram":[112],"lead":[118],"improved":[120],"classification.":[122],"this":[124],"paper,":[125],"we":[126],"address":[127],"relatively":[129],"large":[130],"feature":[131,139],"length":[132],"MD-LBPV":[134],"descriptors,":[135],"show":[137],"that":[138],"reduction":[140],"discrete":[143],"cosine":[144],"transform":[145],"(DCT)":[146],"combined":[147],"with":[148,160],"principal":[149],"component":[150],"(PCA)":[152],"yield":[154],"effective":[155],"compact":[157],"high":[161],"accuracy.":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
