{"id":"https://openalex.org/W2971550774","doi":"https://doi.org/10.1109/ccoms.2019.8821693","title":"Sketch Image Classification Using Component Based k-NN","display_name":"Sketch Image Classification Using Component Based k-NN","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2971550774","doi":"https://doi.org/10.1109/ccoms.2019.8821693","mag":"2971550774"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2019.8821693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821693","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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/A5052543537","display_name":"Suwannee Jearasuwan","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Suwannee Jearasuwan","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029657798","display_name":"Somkiat Wangsiripitak","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Somkiat Wangsiripitak","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052543537"],"corresponding_institution_ids":["https://openalex.org/I91538806"],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.42451839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"267","last_page":"271"},"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":0.9936000108718872,"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":0.9936000108718872,"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":0.9918000102043152,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9908999800682068,"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/sketch","display_name":"Sketch","score":0.7753543853759766},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6647390723228455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6392197608947754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5674706101417542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5133949518203735},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.424931138753891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11126843094825745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05168759822845459}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7753543853759766},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6647390723228455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392197608947754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5674706101417542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5133949518203735},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.424931138753891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11126843094825745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05168759822845459},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccoms.2019.8821693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821693","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W222441047","https://openalex.org/W1503798456","https://openalex.org/W1972420097","https://openalex.org/W1983556963","https://openalex.org/W1987398446","https://openalex.org/W2027125558","https://openalex.org/W2048546747","https://openalex.org/W2089995859","https://openalex.org/W2097117768","https://openalex.org/W2125635584","https://openalex.org/W2128543433","https://openalex.org/W2133267628","https://openalex.org/W2136404418","https://openalex.org/W2148357922","https://openalex.org/W2153404544","https://openalex.org/W2163605009","https://openalex.org/W2255259862","https://openalex.org/W2493181180","https://openalex.org/W6608847999","https://openalex.org/W6662512233","https://openalex.org/W6684191040","https://openalex.org/W6691771135","https://openalex.org/W6723491766"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Recently,":[0],"several":[1],"researches":[2],"on":[3,14],"recognition":[4,191],"of":[5,20,27,51,75,78,130,194,205],"novice-users'":[6],"hand-drawn":[7,33,80,219],"images":[8],"have":[9],"been":[10,153],"conducted,":[11],"specifically":[12],"those":[13],"novel":[15],"feature":[16],"extraction":[17],"techniques.":[18],"Generation":[19],"a":[21,40,48,64,79,91,149,156,159,190,199],"robust":[22],"sketch":[23,92,112],"descriptor":[24,100],"is":[25,39],"one":[26],"the":[28,73,83,131,165,174],"most":[29],"challenging":[30],"problems":[31],"in":[32,148],"image":[34,93,99,113,151],"recognition.":[35],"Drawing":[36],"or":[37,57,158,162],"sketching":[38],"common":[41],"skill":[42],"that":[43,96,135,182,215],"everyone":[44],"can":[45,71,114,136,168,216],"do":[46],"to":[47,62,141,188],"varying":[49],"degree":[50],"success.":[52],"Although":[53],"an":[54,98,143,146,212],"individual":[55],"may":[56,58],"not":[59],"be":[60,115,137,169],"able":[61,187],"create":[63],"beautifully":[65],"drawn":[66,150],"image,":[67],"any":[68],"human":[69,160],"beings":[70],"recognize":[72,142],"shape":[74],"each":[76],"part":[77],"object":[81,147,167],"and":[82,105,128,139,171,221],"entire":[84],"object.":[85],"In":[86],"this":[87],"work,":[88],"we":[89],"proposed":[90,184],"classification":[94],"method":[95,185],"creates":[97],"from":[101,227],"its":[102],"own":[103],"components":[104],"uses":[106],"k-NN":[107],"algorithm":[108],"for":[109],"learning/classification.":[110],"A":[111],"created":[116],"simply":[117],"by":[118],"drawing":[119,125],"some":[120],"simple":[121],"geometric":[122],"shapes.":[123],"The":[124],"order,":[126],"size,":[127],"number":[129],"shapes":[132],"are":[133],"features":[134],"extracted":[138],"used":[140],"image.":[144],"After":[145],"has":[152],"classified":[154],"as":[155],"car":[157],"being":[161],"anything":[163],"else,":[164],"recognized":[166],"selected":[170],"paired":[172],"with":[173,177,201],"motion":[175],"associated":[176],"it.":[178],"It":[179],"was":[180,186],"found":[181],"our":[183],"achieve":[189],"accuracy":[192],"rate":[193],"92.33%.":[195],"We":[196],"also":[197],"did":[198],"survey":[200],"children":[202],"7-12":[203],"years":[204],"age":[206],"asking":[207],"them":[208],"whether":[209],"they":[210],"wanted":[211],"easy":[213],"tool":[214],"animate":[217],"their":[218],"objects":[220],"got":[222],"almost":[223],"unanimous":[224],"affirmative":[225],"responses":[226],"them.":[228]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}