{"id":"https://openalex.org/W3203319366","doi":null,"title":"Effective CBIR System Using Color Histogram and Distance Measures","display_name":"Effective CBIR System Using Color Histogram and Distance Measures","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W3203319366","mag":"3203319366"},"language":"en","primary_location":{"id":"mag:3203319366","doi":null,"is_oa":false,"landing_page_url":"http://computers.stmjournals.com/index.php?journal=JoWET&page=article&op=view&path%5B%5D=2077","pdf_url":null,"source":{"id":"https://openalex.org/S4210208748","display_name":"Journal of Web Engineering & Technology","issn_l":"2455-1880","issn":["2455-1880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Web Engineering & Technology","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5011680983","display_name":"Punit Soni","orcid":"https://orcid.org/0000-0002-3805-486X","observed_orcids":["https://orcid.org/0000-0002-3805-486X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Punit Soni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024643331","display_name":"Vijay Kumar Lamba","orcid":"https://orcid.org/0000-0003-2893-9514","observed_orcids":["https://orcid.org/0000-0003-2893-9514"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vijay Kumar Lamba","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2893-9514","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051626818","display_name":"Surender Jangra","orcid":"https://orcid.org/0000-0002-3608-7975","observed_orcids":["https://orcid.org/0000-0002-3608-7975","https://orcid.org/0009-0001-8261-4633"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surender Jangra","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3608-7975","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109229129","display_name":"Sunil Kumar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunil Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.096,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38461918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"6","issue":"1","first_page":"11","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":1.0,"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":1.0,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.0,"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/content-based-image-retrieval","display_name":"content-based image retrieval","score":0.9950000047683716},{"id":"https://openalex.org/keywords/color-histogram","display_name":"color histogram","score":0.9729999899864197},{"id":"https://openalex.org/keywords/distance-metrics","display_name":"distance measures","score":0.7110000252723694},{"id":"https://openalex.org/keywords/medical-image-retrieval","display_name":"medical image retrieval","score":0.8420000076293945},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9769999980926514},{"id":"https://openalex.org/keywords/divergence-measures","display_name":"divergence measures","score":0.6019999980926514},{"id":"https://openalex.org/keywords/query-image-matching","display_name":"query image matching","score":0.6190000176429749},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.5910000205039978},{"id":"https://openalex.org/keywords/shape-features","display_name":"shape features","score":0.8889999985694885}],"concepts":[{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7249425053596497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786535978317261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6391720771789551},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5814356207847595},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5583871603012085},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.545838475227356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5319206118583679},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5160495638847351},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5144131779670715},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.498424768447876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45154449343681335},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.429782509803772},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4228781461715698},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4188057780265808},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.30011600255966187},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29029035568237305},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2533726692199707},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":"mag:3203319366","doi":null,"is_oa":false,"landing_page_url":"http://computers.stmjournals.com/index.php?journal=JoWET&page=article&op=view&path%5B%5D=2077","pdf_url":null,"source":{"id":"https://openalex.org/S4210208748","display_name":"Journal of Web Engineering & Technology","issn_l":"2455-1880","issn":["2455-1880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Web Engineering & Technology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2067107723","https://openalex.org/W1562703549","https://openalex.org/W1580903164","https://openalex.org/W2905186525","https://openalex.org/W7099387305","https://openalex.org/W2319008794","https://openalex.org/W2550958611","https://openalex.org/W2184073271","https://openalex.org/W2351835087","https://openalex.org/W2119423839"],"abstract_inverted_index":{"Abstract":[0],"Interests":[5],"to":[6,54,59,121,165,196,229],"precisely":[7],"retrieve":[8,102],"desired":[9],"images":[10,15,33,104,124],"from":[11],"databases":[12],"of":[13,28,32,46,74,137,173,177,214,236,298],"medical":[14,123],"are":[16],"developing":[17],"every":[18],"day.":[19],"Certain":[20],"features":[21,62,108,113,168,175],"define":[22],"the":[23,26,30,56,75,103,135,167,171,190,201,205,252],"images;":[24],"on":[25,170],"basis":[27,172],"those,":[29],"retrieval":[31,65,98,150,184,216],"is":[34,186,218,225],"facilitated.":[35],"These":[36],"components":[37],"incorporate":[38],"texture,":[39,85],"color,":[40,86],"shape":[41],"and":[42,87,140,151,169,223,239,293],"region.":[43],"A":[44],"lot":[45],"work":[47],"has":[48,129],"been":[49,130],"done":[50],"in":[51,63,204,221],"this":[52,68,90,209,274],"direction":[53],"discover":[55],"new":[57,145],"ways":[58],"use":[60,194],"these":[61],"image":[64,97,107,112,149,157,179,215,267],"process.":[66,207],"In":[67,89,208,241],"study,":[69,91],"we":[70,92,159,232],"exhibit":[71],"an":[72],"overview":[73],"Content":[76,118],"Based":[77],"Image":[78],"Retrieval":[79],"(CBIR)":[80],"methods":[81,246],"taking":[82],"into":[83,251],"account":[84],"shape.":[88],"present":[93],"a":[94,211],"color":[95,162],"histogram-based":[96],"system":[99,213],"that":[100,132,193],"can":[101],"by":[105,114],"direct":[106],"matching":[109,176],"with":[110],"query":[111,178],"using":[115],"distance":[116],"classification.":[117],"based":[119,148],"access":[120],"digital":[122],"for":[125],"supporting":[126],"decision":[127],"making":[128],"suggested":[131],"would":[133],"facilitate":[134],"administration":[136],"clinical":[138],"information":[139],"situations.":[141],"We":[142],"have":[143,160],"actualized":[144],"feature":[146,153],"extraction":[147,154],"advanced":[152],"methods.":[155],"For":[156],"retrieval,":[158,268],"utilized":[161],"histogram":[163],"function":[164],"extract":[166],"extracted":[174],"as":[180],"divergence":[181],"measure.":[182],"Proposed":[183],"strategy":[185],"far":[187],"better":[188],"than":[189],"conventional":[191],"techniques":[192],"picture":[195,197],"coordinating":[198],"which":[199,217],"builds":[200],"time":[202],"taken":[203],"recovery":[206],"work,":[210],"complete":[212],"perfectly":[219],"balanced":[220],"efficiency":[222],"efficacy":[224],"explored.":[226],"As":[227],"compared":[228],"previous":[230],"procedures,":[231],"got":[233],"higher":[234],"values":[235],"precision,":[237],"recall":[238],"F-score.":[240],"future,":[242],"more":[243],"efficient":[244],"training":[245],"could":[247],"also":[248],"be":[249],"merged":[250],"study.":[253],"Keywords:":[260],"Feature":[264],"extraction,":[265],"histogram,":[266],"precision":[269],"Cite":[273],"Article":[275],"Punit":[278],"Soni,":[279],"Vijay":[280],"Kumar":[281],"Lamba,":[282],"Surender":[283],"Jangra,":[284],"et":[285],"al.":[286],"Effective":[287],"CBIR":[288],"System":[289],"Using":[290],"Color":[291],"Histogram":[292],"Distance":[294],"Measures.":[295],"Journal":[297],"Web":[299],"Engineering":[300],"&":[301],"Technology":[302],".":[303],"2019;":[304],"6(1):":[305],"11\u201314p.":[306]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2021-10-11T00:00:00"}
