{"id":"https://openalex.org/W1578195802","doi":"https://doi.org/10.3233/978-1-60750-690-4-117","title":"An Emotion-Oriented Image Search System with Cluster based Similarity Measurement using Pillar-Kmeans Algorithm","display_name":"An Emotion-Oriented Image Search System with Cluster based Similarity Measurement using Pillar-Kmeans Algorithm","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1578195802","doi":"https://doi.org/10.3233/978-1-60750-690-4-117","mag":"1578195802"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-690-4-117","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-690-4-117","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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":null,"display_name":"Barakbah Ali Ridho","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Barakbah Ali Ridho","raw_affiliation_strings":["Graduate School of Media and Governance, Keio University, Japan, ridho@mdbl.sfc.keio.ac.jp#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Media and Governance, Keio University, Japan, ridho@mdbl.sfc.keio.ac.jp#TAB#","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019351299","display_name":"Yasushi Kiyoki","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoki Yasushi","raw_affiliation_strings":["Faculty of Environmental Information, Keio University, Japan, 5322 Endoh, Fujisawa, Kanagawa, Japan, 252-8520, kiyoki@sfc.keio.ac.jp#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Environmental Information, Keio University, Japan, 5322 Endoh, Fujisawa, Kanagawa, Japan, 252-8520, kiyoki@sfc.keio.ac.jp#TAB#","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.9323,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74540823,"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":"117","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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"}},"topics":[{"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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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/k-means-clustering","display_name":"k-means clustering","score":0.6907579302787781},{"id":"https://openalex.org/keywords/pillar","display_name":"Pillar","score":0.6534053683280945},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6224707365036011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6007562279701233},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5239850878715515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47402364015579224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44889408349990845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4209052324295044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41559725999832153},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3336811065673828},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.19256410002708435},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10497042536735535}],"concepts":[{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.6907579302787781},{"id":"https://openalex.org/C105289051","wikidata":"https://www.wikidata.org/wiki/Q1930094","display_name":"Pillar","level":2,"score":0.6534053683280945},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6224707365036011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007562279701233},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5239850878715515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47402364015579224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44889408349990845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4209052324295044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41559725999832153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3336811065673828},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.19256410002708435},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10497042536735535},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-60750-690-4-117","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-690-4-117","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:1578195802","is_oa":false,"landing_page_url":"https://keio.pure.elsevier.com/en/publications/an-emotion-oriented-image-search-system-with-cluster-based-simila","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1520717810","https://openalex.org/W1570050281","https://openalex.org/W1975830550","https://openalex.org/W2017991112","https://openalex.org/W2046589280","https://openalex.org/W2047228187","https://openalex.org/W2063490865","https://openalex.org/W2091503252","https://openalex.org/W2109224747","https://openalex.org/W2134814621","https://openalex.org/W2136622240","https://openalex.org/W2138682483","https://openalex.org/W2153166546","https://openalex.org/W2165883275","https://openalex.org/W2172292544","https://openalex.org/W2172494619","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2495348380","https://openalex.org/W604547544","https://openalex.org/W4230293041","https://openalex.org/W2377141674","https://openalex.org/W2352149692","https://openalex.org/W4390351107","https://openalex.org/W2368266917","https://openalex.org/W2359627721","https://openalex.org/W2911361278","https://openalex.org/W4390285852"],"abstract_inverted_index":{"This":[0,32],"paper":[1],"presents":[2],"an":[3,8,16],"image":[4,29,47,113],"search":[5,30],"system":[6,104],"with":[7],"emotion-oriented":[9],"context":[10,18,34],"recognition":[11],"mechanism.":[12],"Our":[13],"motivation":[14],"implementing":[15],"emotional":[17,33,66],"is":[19,59],"to":[20,45,75,83,88],"express":[21],"user's":[22,43],"impressions":[23,44,74,79],"for":[24,61,68,94],"retrieval":[25],"process":[26],"in":[27],"the":[28,36,42,46,70,76,90,103,107,112],"system.":[31],"recognizes":[35],"most":[37,71,91],"important":[38],"features":[39,110],"by":[40],"connecting":[41],"queries.":[48],"The":[49],"Mathematical":[50],"Model":[51],"of":[52,65,111],"Meaning":[53],"(MMM:":[54],"[2],":[55],"[4]":[56],"and":[57],"[5])":[58],"applied":[60],"recognizing":[62],"a":[63,84],"series":[64],"contexts":[67],"retrieving":[69],"highly":[72],"correlated":[73],"context.":[77],"These":[78],"are":[80],"then":[81,105],"projected":[82],"color":[85,109],"impression":[86],"metric":[87],"obtain":[89],"significant":[92],"colors":[93],"subspace":[95,100,108],"feature":[96,101],"selection.":[97],"After":[98],"applying":[99],"selection,":[102],"clusters":[106],"dataset":[114],"using":[115],"our":[116],"proposed":[117],"Pillar-Kmeans":[118],"algorithm.":[119]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}