{"id":"https://openalex.org/W2144977356","doi":"https://doi.org/10.1109/ijcnn.2014.6889660","title":"Scene image classification using a wigner-based Local Binary Patterns descriptor","display_name":"Scene image classification using a wigner-based Local Binary Patterns descriptor","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2144977356","doi":"https://doi.org/10.1109/ijcnn.2014.6889660","mag":"2144977356"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5105698477","display_name":"Atreyee Sinha","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Atreyee Sinha","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011038179","display_name":"Sugata Banerji","orcid":"https://orcid.org/0000-0002-8278-0420"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sugata Banerji","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454866","display_name":"Chengjun Liu","orcid":"https://orcid.org/0000-0002-2036-0770"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengjun Liu","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5105698477"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71299051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1614","last_page":"1621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9940999746322632,"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":0.9864000082015991,"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":0.8344964981079102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8087401390075684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7310523986816406},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6641802787780762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6519538760185242},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.548328697681427},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5452280044555664},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5421489477157593},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4980337619781494},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.482825368642807},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4704265594482422},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46714043617248535},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41565263271331787},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.41165077686309814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39952242374420166},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.26711905002593994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21170508861541748}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8344964981079102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8087401390075684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7310523986816406},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6641802787780762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519538760185242},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.548328697681427},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5452280044555664},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5421489477157593},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4980337619781494},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.482825368642807},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4704265594482422},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46714043617248535},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41565263271331787},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.41165077686309814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39952242374420166},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.26711905002593994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21170508861541748},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1498915505","https://openalex.org/W1566135517","https://openalex.org/W1589362500","https://openalex.org/W1967217515","https://openalex.org/W1970243926","https://openalex.org/W1979931042","https://openalex.org/W1991268817","https://openalex.org/W2011611678","https://openalex.org/W2032982774","https://openalex.org/W2039051707","https://openalex.org/W2039266672","https://openalex.org/W2040754214","https://openalex.org/W2046128998","https://openalex.org/W2066941820","https://openalex.org/W2086971086","https://openalex.org/W2097018403","https://openalex.org/W2097290407","https://openalex.org/W2098951409","https://openalex.org/W2103924867","https://openalex.org/W2107034620","https://openalex.org/W2112020727","https://openalex.org/W2113683813","https://openalex.org/W2131846894","https://openalex.org/W2147625498","https://openalex.org/W2151103935","https://openalex.org/W2155284717","https://openalex.org/W2155490028","https://openalex.org/W2156909104","https://openalex.org/W2162915993","https://openalex.org/W2169177311","https://openalex.org/W3165898261","https://openalex.org/W4206519171","https://openalex.org/W6672431523","https://openalex.org/W6674642818","https://openalex.org/W6682725716","https://openalex.org/W6684872329"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W2468279273","https://openalex.org/W3166997759","https://openalex.org/W2354198838","https://openalex.org/W2794489335","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2080437822","https://openalex.org/W2153027217"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,42,111],"new":[4],"local":[5,15],"feature":[6,62,70],"description":[7],"method":[8],"to":[9,93],"categorize":[10],"scene":[11],"images.":[12],"We":[13],"encode":[14],"image":[16,47,123,162],"information":[17],"by":[18,72],"exploring":[19],"the":[20,26,52,56,67,74,78,95,98,126,131,137,145,150],"pseudo-Wigner":[21,57],"distribution":[22,58],"of":[23,59,85,97],"images":[24,60],"and":[25,32,81,136,154],"Local":[27],"Binary":[28],"Patterns":[29],"(LBP)":[30],"technique":[31,153],"make":[33],"four":[34],"major":[35],"contributions.":[36],"In":[37],"particular,":[38],"we":[39,50,65,89,103],"first":[40],"define":[41],"multi-neighborhood":[43,53],"LBP":[44,54,152],"for":[45,61,107],"small":[46],"blocks.":[48],"Second,":[49],"combine":[51],"with":[55],"extraction.":[63],"Third,":[64],"derive":[66],"innovative":[68],"WLBP":[69,100,147],"vector":[71],"utilizing":[73],"frequency":[75],"domain":[76],"smoothing,":[77],"bag-of-words":[79],"model":[80],"spatial":[82],"pyramid":[83],"representations":[84],"an":[86],"image.":[87],"Finally,":[88],"perform":[90],"extensive":[91],"experiments":[92],"evaluate":[94],"performance":[96,109],"proposed":[99,146],"descriptor.":[101],"Specifically,":[102],"test":[104],"our":[105],"descriptor":[106,148],"classification":[108],"using":[110],"Support":[112],"Vector":[113],"Machine":[114],"(SVM)":[115],"classifier":[116],"on":[117],"three":[118],"fairly":[119],"challenging":[120],"publicly":[121],"available":[122],"datasets,":[124],"namely":[125],"UIUC":[127],"Sports":[128],"Event":[129],"dataset,":[130],"Fifteen":[132],"Scene":[133,139],"Categories":[134],"dataset":[135],"MIT":[138],"dataset.":[140],"Experimental":[141],"results":[142,156],"reveal":[143],"that":[144],"outperforms":[149],"traditional":[151],"yields":[155],"better":[157],"than":[158],"some":[159],"other":[160],"popular":[161],"descriptors.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
