{"id":"https://openalex.org/W2095584082","doi":"https://doi.org/10.1145/2818869.2818900","title":"A Hybrid Approach for Large-Scale Image Classification","display_name":"A Hybrid Approach for Large-Scale Image Classification","publication_year":2015,"publication_date":"2015-10-07","ids":{"openalex":"https://openalex.org/W2095584082","doi":"https://doi.org/10.1145/2818869.2818900","mag":"2095584082"},"language":"en","primary_location":{"id":"doi:10.1145/2818869.2818900","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/2818869.2818900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ASE BigData & SocialInformatics 2015","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/A5018914927","display_name":"Been-Chian Chien","orcid":"https://orcid.org/0000-0003-0181-7269"},"institutions":[{"id":"https://openalex.org/I134793997","display_name":"National University of Tainan","ror":"https://ror.org/020pqc882","country_code":"TW","type":"education","lineage":["https://openalex.org/I134793997"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Been-Chian Chien","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan","institution_ids":["https://openalex.org/I134793997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071268785","display_name":"Chia-Wei Ku","orcid":null},"institutions":[{"id":"https://openalex.org/I134793997","display_name":"National University of Tainan","ror":"https://ror.org/020pqc882","country_code":"TW","type":"education","lineage":["https://openalex.org/I134793997"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wei Ku","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan","institution_ids":["https://openalex.org/I134793997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018914927"],"corresponding_institution_ids":["https://openalex.org/I134793997"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07927708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8394404649734497},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7860743999481201},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.7087939977645874},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.619200587272644},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.589177668094635},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5605169534683228},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48714205622673035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.471314013004303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44538819789886475},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.44193923473358154},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4407499134540558},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4224494993686676},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4203495383262634},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4190000891685486},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22516629099845886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394404649734497},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7860743999481201},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.7087939977645874},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.619200587272644},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.589177668094635},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5605169534683228},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48714205622673035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.471314013004303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44538819789886475},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.44193923473358154},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4407499134540558},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4224494993686676},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4203495383262634},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4190000891685486},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22516629099845886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2818869.2818900","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/2818869.2818900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ASE BigData & SocialInformatics 2015","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W121593998","https://openalex.org/W1506285740","https://openalex.org/W1577730984","https://openalex.org/W1877469910","https://openalex.org/W2011589513","https://openalex.org/W2019239840","https://openalex.org/W2020842694","https://openalex.org/W2104019579","https://openalex.org/W2126326837","https://openalex.org/W2127411609","https://openalex.org/W2137918516","https://openalex.org/W2150832512","https://openalex.org/W2156336347","https://openalex.org/W2165558283","https://openalex.org/W2167077256","https://openalex.org/W2186831253","https://openalex.org/W2536305071","https://openalex.org/W2911964244","https://openalex.org/W2913593077"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W826460979","https://openalex.org/W2031096531","https://openalex.org/W2798760230","https://openalex.org/W2186643570","https://openalex.org/W1984753464","https://openalex.org/W2590792214","https://openalex.org/W3197447665","https://openalex.org/W4327774125","https://openalex.org/W2602624304"],"abstract_inverted_index":{"Digital":[0],"photos":[1],"and":[2,12,17,43,76,99],"images":[3,15,53,67,72],"increase":[4],"considerably":[5],"in":[6,23],"recent":[7],"years.":[8],"How":[9],"to":[10],"manage":[11],"access":[13],"large-scale":[14,103],"efficiently":[16],"effectively":[18],"becomes":[19],"an":[20,117],"important":[21],"issue":[22],"big":[24],"data":[25],"era.":[26],"The":[27,48,107],"main":[28],"techniques":[29],"of":[30,109],"image":[31,83,105,119],"retrieval":[32,41,46,50,64],"are":[33],"typically":[34],"divides":[35],"into":[36],"two":[37],"categories:":[38],"the":[39,44,62,113],"content-based":[40,49],"approach":[42,51,65],"keyword-based":[45,63],"approach.":[47],"searches":[52,66],"with":[54,68],"a":[55,92],"similar":[56],"query":[57],"image.":[58],"In":[59,87],"other":[60],"hand,":[61],"keywords.":[69],"For":[70],"retrieving":[71],"by":[73,80],"semantic":[74],"keywords":[75],"avoiding":[77],"manually":[78],"annotation":[79],"users,":[81],"high-accurate":[82],"classification":[84],"is":[85],"required.":[86],"this":[88],"paper,":[89],"we":[90],"propose":[91],"hybrid":[93],"framework":[94],"combining":[95],"classifiers,":[96],"similarity":[97],"matching":[98],"association":[100],"rules":[101],"for":[102],"multi-label":[104],"classification.":[106,120],"results":[108],"experiments":[110],"show":[111],"that":[112],"combination":[114],"model":[115],"provides":[116],"effective":[118]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}