{"id":"https://openalex.org/W7128315811","doi":"https://doi.org/10.1109/access.2026.3661618","title":"Low-Power, High-Efficiency Image Retrieval for Clothing Images: Comparing Visual Similarity Algorithms and Semantic Deep Learning Models","display_name":"Low-Power, High-Efficiency Image Retrieval for Clothing Images: Comparing Visual Similarity Algorithms and Semantic Deep Learning Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128315811","doi":"https://doi.org/10.1109/access.2026.3661618"},"language":null,"primary_location":{"id":"doi:10.1109/access.2026.3661618","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3661618","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3661618","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006594091","display_name":"Yu.Bin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yubin Yang","raw_affiliation_strings":["Department of Metaverse Convergence, Graduate School, Dankook University, Yongin, South Korea"],"raw_orcid":"https://orcid.org/0009-0006-6523-167X","affiliations":[{"raw_affiliation_string":"Department of Metaverse Convergence, Graduate School, Dankook University, Yongin, South Korea","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125343813","display_name":"Eung-Kyo Suh","orcid":null},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eung-Kyo Suh","raw_affiliation_strings":["Department of Metaverse Convergence, Graduate School, Dankook University, Yongin, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-3622-3241","affiliations":[{"raw_affiliation_string":"Department of Metaverse Convergence, Graduate School, Dankook University, Yongin, South Korea","institution_ids":["https://openalex.org/I89015989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16233028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"21553","last_page":"21584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.39910000562667847,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.39910000562667847,"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/T11448","display_name":"Face recognition and analysis","score":0.16599999368190765,"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":0.11190000176429749,"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/deep-learning","display_name":"Deep learning","score":0.72079998254776},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7135999798774719},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.6266000270843506},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5501000285148621},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5113000273704529},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4609000086784363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.451200008392334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4302999973297119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241000175476074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7502999901771545},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.72079998254776},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7135999798774719},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.6266000270843506},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5501000285148621},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5113000273704529},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4609000086784363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.451200008392334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39980000257492065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34709998965263367},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.3206999897956848},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.2655999958515167},{"id":"https://openalex.org/C2983761899","wikidata":"https://www.wikidata.org/wiki/Q604674","display_name":"Robot vision","level":4,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2026.3661618","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3661618","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3661618","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3661618","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1969294188","https://openalex.org/W2005750530","https://openalex.org/W2011011931","https://openalex.org/W2024370061","https://openalex.org/W2044465660","https://openalex.org/W2096733369","https://openalex.org/W2100495367","https://openalex.org/W2105994593","https://openalex.org/W2109868644","https://openalex.org/W2111993661","https://openalex.org/W2115718371","https://openalex.org/W2117228865","https://openalex.org/W2125148312","https://openalex.org/W2130660124","https://openalex.org/W2138584058","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2157364932","https://openalex.org/W2159498975","https://openalex.org/W2163922914","https://openalex.org/W2165533158","https://openalex.org/W2165612380","https://openalex.org/W2170590026","https://openalex.org/W2171939141","https://openalex.org/W2194775991","https://openalex.org/W2270192120","https://openalex.org/W2325814610","https://openalex.org/W2510850936","https://openalex.org/W2607603241","https://openalex.org/W2612112834","https://openalex.org/W2765811365","https://openalex.org/W2806670104","https://openalex.org/W2894568782","https://openalex.org/W2913943056","https://openalex.org/W2962770929","https://openalex.org/W2962949934","https://openalex.org/W2963163009","https://openalex.org/W2963775347","https://openalex.org/W2981675710","https://openalex.org/W2982083293","https://openalex.org/W3036320200","https://openalex.org/W3096831136","https://openalex.org/W3135539146","https://openalex.org/W3141702517","https://openalex.org/W3171768271","https://openalex.org/W4210407519","https://openalex.org/W4213009331","https://openalex.org/W4221162144","https://openalex.org/W4386893120","https://openalex.org/W4387813206","https://openalex.org/W4389293000","https://openalex.org/W4391822177","https://openalex.org/W4406261523","https://openalex.org/W4406985495"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-09T00:00:00"}
