{"id":"https://openalex.org/W2956111948","doi":"https://doi.org/10.1145/3330393.3330396","title":"Combination of GIST and PHOG Features for Calligraphy Styles Classification","display_name":"Combination of GIST and PHOG Features for Calligraphy Styles Classification","publication_year":2019,"publication_date":"2019-05-10","ids":{"openalex":"https://openalex.org/W2956111948","doi":"https://doi.org/10.1145/3330393.3330396","mag":"2956111948"},"language":"en","primary_location":{"id":"doi:10.1145/3330393.3330396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3330393.3330396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Multimedia Systems and Signal 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/A5006226605","display_name":"Jiulong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiulong Zhang","raw_affiliation_strings":["Xi'an university of technology, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi'an university of technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774978","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0003-4035-0737"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Xi'an university of technology, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi'an university of technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071104829","display_name":"Xinran Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Wen","raw_affiliation_strings":["Xi'an university of technology, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi'an university of technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006226605"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.3041,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60430958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9739000201225281,"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/T12496","display_name":"Color perception and design","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7619030475616455},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7070095539093018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6954877376556396},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6753864884376526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6603240370750427},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6485658884048462},{"id":"https://openalex.org/keywords/calligraphy","display_name":"Calligraphy","score":0.544026255607605},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5035626292228699},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4942181408405304},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4339753985404968},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42651915550231934},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29168790578842163},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.09838283061981201}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7619030475616455},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7070095539093018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6954877376556396},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6753864884376526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6603240370750427},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6485658884048462},{"id":"https://openalex.org/C526940114","wikidata":"https://www.wikidata.org/wiki/Q12681","display_name":"Calligraphy","level":3,"score":0.544026255607605},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5035626292228699},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4942181408405304},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4339753985404968},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42651915550231934},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29168790578842163},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.09838283061981201},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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:10.1145/3330393.3330396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3330393.3330396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Multimedia Systems and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G534721952","display_name":null,"funder_award_id":"201805037YD15CG21(6)","funder_id":"https://openalex.org/F4320325079","funder_display_name":"Xi'an Municipal Bureau of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320325079","display_name":"Xi'an Municipal Bureau of Science and Technology","ror":"https://ror.org/02rn5dn49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1964193619","https://openalex.org/W1996732080","https://openalex.org/W2016977798","https://openalex.org/W2028587221","https://openalex.org/W2042446224","https://openalex.org/W2092319068","https://openalex.org/W2133137011","https://openalex.org/W2133463914","https://openalex.org/W2160350606","https://openalex.org/W2227566270","https://openalex.org/W2384322164"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2767833206","https://openalex.org/W2433492094","https://openalex.org/W1556327589"],"abstract_inverted_index":{"Ancient":[0],"Chinese":[1],"calligraphic":[2],"works":[3],"have":[4],"important":[5],"historic":[6],"and":[7,10,45,58,65,81,103,128],"artistic":[8],"values,":[9],"styles":[11],"classification":[12,123,143],"based":[13,39],"on":[14,40,109,125,129,142],"image":[15,32],"pattern":[16],"recognition":[17],"is":[18,52,107],"a":[19,37,90],"significant":[20],"issue":[21],"to":[22,60,76,88],"be":[23],"addressed.":[24],"To":[25],"attack":[26],"the":[27,41,62,66,73,83,94,100,122,135,146,149],"drawbacks":[28],"of":[29,43,48,111,137,139,148],"some":[30],"conventional":[31],"operators":[33],"in":[34,118],"this":[35],"scenario,":[36],"method":[38,55],"fusion":[42,91],"GIST":[44,57],"Pyramid":[46],"Histogram":[47],"Oriented":[49],"Gradients(PHOG)":[50],"feature":[51],"proposed.":[53],"This":[54],"uses":[56],"PHOG":[59],"extract":[61],"global":[63],"features":[64,69,75,85,127],"local":[67],"contour":[68],"respectively,":[70],"then":[71],"feed":[72],"two":[74],"PCA":[77,87],"for":[78],"dimensionality":[79],"reduction,":[80],"connect":[82],"reduced":[84],"after":[86],"form":[89],"feature.":[92],"Finally,":[93],"Support":[95],"Vector":[96],"Machine(SVM)":[97],"classifier":[98],"performs":[99],"style":[101],"training":[102,140],"classification.":[104],"The":[105],"algorithm":[106],"verified":[108],"datasets":[110],"four":[112],"tablets":[113],"by":[114],"calligrapher":[115],"Yan":[116],"Zhenqing":[117],"different":[119],"periods;":[120],"both":[121],"rates":[124],"single":[126],"fused":[130],"features,":[131],"as":[132,134],"well":[133],"influence":[136],"numbers":[138],"samples":[141],"performance":[144],"demonstrates":[145],"effectiveness":[147],"proposed":[150],"method.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}