{"id":"https://openalex.org/W2108374379","doi":"https://doi.org/10.1109/icip.2013.6738827","title":"New local edge binary patterns for image retrieval","display_name":"New local edge binary patterns for image retrieval","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2108374379","doi":"https://doi.org/10.1109/icip.2013.6738827","mag":"2108374379"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5100747495","display_name":"Junding Sun","orcid":"https://orcid.org/0000-0001-7349-0248"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junding Sun","raw_affiliation_strings":["School of Computer Science and technology, Henan Polytechnic University, Jiaozuo 454003, China","Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Henan Polytechnic University, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016996180","display_name":"Guoliang Fan","orcid":"https://orcid.org/0000-0002-8584-9040"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Fan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078","[Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"[Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA]","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374740","display_name":"Xiaosheng Wu","orcid":"https://orcid.org/0000-0003-1688-9564"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosheng Wu","raw_affiliation_strings":["School of Computer Science and technology, Henan Polytechnic University, Jiaozuo 454003, China","Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Henan Polytechnic University, Jiaozuo 454003, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7242297,"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":"4014","last_page":"4018"},"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":0.9958000183105469,"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":0.9715999960899353,"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":0.9552396535873413},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.7498579025268555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5798068046569824},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5697023272514343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5679702758789062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538786053657532},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5476913452148438},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5164344906806946},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.501429557800293},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.47945964336395264},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.44074851274490356},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32375144958496094},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2814655900001526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.245753675699234},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24112465977668762}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.9552396535873413},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7498579025268555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5798068046569824},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5697023272514343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5679702758789062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538786053657532},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5476913452148438},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5164344906806946},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.501429557800293},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.47945964336395264},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.44074851274490356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32375144958496094},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2814655900001526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.245753675699234},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24112465977668762},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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":13,"referenced_works":["https://openalex.org/W1553085054","https://openalex.org/W2029927832","https://openalex.org/W2039051707","https://openalex.org/W2058160332","https://openalex.org/W2060115110","https://openalex.org/W2096171208","https://openalex.org/W2130660124","https://openalex.org/W2147141800","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2172196609","https://openalex.org/W6664913971"],"related_works":["https://openalex.org/W2558391773","https://openalex.org/W1823469724","https://openalex.org/W2106653363","https://openalex.org/W2960611766","https://openalex.org/W2044270176","https://openalex.org/W2416959398","https://openalex.org/W2373150368","https://openalex.org/W2151854763","https://openalex.org/W2783118371","https://openalex.org/W3204374377"],"abstract_inverted_index":{"A":[0],"new":[1,58],"method,":[2],"called":[3],"local":[4,19,23,38,44,79],"edge":[5],"binary":[6,20,39,45,80],"patterns":[7,21,81],"(LEBP),":[8],"is":[9],"introduced":[10],"in":[11,35,82],"the":[12,16,54,57,74,77],"paper,":[13],"which":[14],"takes":[15],"advantages":[17],"of":[18,56,76],"and":[22,42],"edges":[24],"into":[25],"account.":[26],"Furthermore,":[27],"several":[28],"extensions":[29],"to":[30,52],"LEBP":[31,70],"are":[32,48],"also":[33],"discussed":[34],"detail.":[36],"Center-symmetric":[37],"pattern":[40,46],"(CS-LBP)":[41],"direction":[43],"(D-LBP)":[47],"chosen":[49],"as":[50],"examples":[51],"prove":[53],"performance":[55,75],"method":[59],"on":[60],"two":[61],"commonly":[62],"used":[63],"texture":[64,83],"databases.":[65],"Experimental":[66],"results":[67],"show":[68],"that":[69],"can":[71],"greatly":[72],"improve":[73],"traditional":[78],"image":[84],"retrieval.":[85]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}