{"id":"https://openalex.org/W1992701019","doi":"https://doi.org/10.1142/s1793351x14400030","title":"Similarity Retrieval of Vector Images with Indirect Matching","display_name":"Similarity Retrieval of Vector Images with Indirect Matching","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W1992701019","doi":"https://doi.org/10.1142/s1793351x14400030","mag":"1992701019"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x14400030","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x14400030","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5056037673","display_name":"Takahiro Hayashi","orcid":"https://orcid.org/0000-0002-8800-1635"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hayashi","raw_affiliation_strings":["Institute of Science and Technology, Niigata University, 8050 Ikarashi-2-no-cho, Nishi-ku, Niigata-shi 950-2181, Japan","Institute of Science and Technology, Niigata University, 8050, Ikarashi 2-no-cho, Nishi-ku, Niigata-shi, 950-2181, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology, Niigata University, 8050 Ikarashi-2-no-cho, Nishi-ku, Niigata-shi 950-2181, Japan","institution_ids":["https://openalex.org/I71395657"]},{"raw_affiliation_string":"Institute of Science and Technology, Niigata University, 8050, Ikarashi 2-no-cho, Nishi-ku, Niigata-shi, 950-2181, Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041689745","display_name":"Akihiko Sato","orcid":"https://orcid.org/0000-0001-6625-1679"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiko Sato","raw_affiliation_strings":["Graduate School of Science and Technology, Niigata University, 8050 Ikarashi-2-no-cho, Nishi-ku, Niigata-shi 950-2181, Japan","Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-no-cho, Nishi-ku, Niigata-shi, 950-2181, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Niigata University, 8050 Ikarashi-2-no-cho, Nishi-ku, Niigata-shi 950-2181, Japan","institution_ids":["https://openalex.org/I71395657"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-no-cho, Nishi-ku, Niigata-shi, 950-2181, Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047061905","display_name":"Nobuaki Ishii","orcid":"https://orcid.org/0000-0003-1718-1664"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuaki Ishii","raw_affiliation_strings":["Graduate School of Science and Technology, Niigata University, 8050 Ikarashi-2-no-cho, Nishi-ku, Niigata-shi 950-2181, Japan","Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-no-cho, Nishi-ku, Niigata-shi, 950-2181, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Niigata University, 8050 Ikarashi-2-no-cho, Nishi-ku, Niigata-shi 950-2181, Japan","institution_ids":["https://openalex.org/I71395657"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-no-cho, Nishi-ku, Niigata-shi, 950-2181, Japan","institution_ids":["https://openalex.org/I71395657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71395657"],"apc_list":null,"apc_paid":null,"fwci":0.2676,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62891875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"08","issue":"02","first_page":"169","last_page":"183"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7909232974052429},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7332101464271545},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7203601598739624},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5823277235031128},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5629556179046631},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.4822326600551605},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4787137508392334},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.47578632831573486},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4641619324684143},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4561854898929596},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4535468816757202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4471144378185272},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4108128547668457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3827664852142334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13125985860824585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909232974052429},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7332101464271545},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7203601598739624},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5823277235031128},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5629556179046631},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.4822326600551605},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4787137508392334},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.47578632831573486},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4641619324684143},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4561854898929596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4535468816757202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4471144378185272},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4108128547668457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3827664852142334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13125985860824585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x14400030","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x14400030","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G766716704","display_name":"Similarity retrieval of vector images considering human visual perception","funder_award_id":"26330130","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2020217209","https://openalex.org/W2027554194","https://openalex.org/W2057175746","https://openalex.org/W2112074894","https://openalex.org/W2122827492","https://openalex.org/W2132346632","https://openalex.org/W2143668817","https://openalex.org/W2144679084","https://openalex.org/W2160754664","https://openalex.org/W2160897372","https://openalex.org/W2163380389","https://openalex.org/W2167757185","https://openalex.org/W2222512263","https://openalex.org/W2328725012"],"related_works":["https://openalex.org/W2372745973","https://openalex.org/W2366015234","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2947282851","https://openalex.org/W2184288218","https://openalex.org/W2071180033","https://openalex.org/W2374066281","https://openalex.org/W2011260834","https://openalex.org/W4387423606"],"abstract_inverted_index":{"Increase":[0],"use":[1],"of":[2,11,22,45,59,65,86,115],"vector":[3,12,23],"images":[4],"have":[5,99],"generated":[6],"interests":[7],"on":[8],"effective":[9],"ways":[10],"image":[13,89],"retrieval.":[14],"This":[15,39],"paper":[16],"presents":[17],"a":[18,42,54,67],"fast":[19],"similarity":[20,31,68,82,85],"retrieval":[21,76,103,116],"images.":[24,73],"For":[25],"reducing":[26],"the":[27,60,75,81,84,91,102,109],"computational":[28],"cost":[29],"in":[30],"evaluation,":[32],"we":[33],"proposed":[34,110],"an":[35],"indirect":[36],"matching":[37],"framework.":[38],"framework":[40,61],"uses":[41],"small":[43],"number":[44],"key":[46,72],"images,":[47],"which":[48],"are":[49],"previously":[50],"randomly":[51],"selected":[52],"from":[53],"database.":[55],"The":[56],"basic":[57],"idea":[58],"is":[62,94,105],"offline":[63],"calculation":[64],"creating":[66],"table":[69],"with":[70],"pre-selected":[71],"In":[74],"phase,":[77],"by":[78,108],"referring":[79],"to":[80,90],"table,":[83],"each":[87],"database":[88],"given":[92],"query":[93],"quickly":[95],"estimated.":[96],"Experimental":[97],"results":[98],"shown":[100],"that":[101],"time":[104],"greatly":[106],"reduced":[107],"method":[111],"without":[112],"much":[113],"deterioration":[114],"accuracy.":[117]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
