{"id":"https://openalex.org/W2103120839","doi":"https://doi.org/10.1109/iccp.2011.6047865","title":"Independent component analysis of color SIFT for Image Classification","display_name":"Independent component analysis of color SIFT for Image Classification","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2103120839","doi":"https://doi.org/10.1109/iccp.2011.6047865","mag":"2103120839"},"language":"en","primary_location":{"id":"doi:10.1109/iccp.2011.6047865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2011.6047865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012390446","display_name":"Danni Ai","orcid":"https://orcid.org/0000-0002-2285-0570"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dan-ni Ai","raw_affiliation_strings":["Graduate School of Science and Enginnering, Ritsumeikan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Enginnering, Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086851360","display_name":"Xian\u2010Hua Han","orcid":"https://orcid.org/0000-0002-5003-3180"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xian-hua Han","raw_affiliation_strings":["Graduate School of Science and Enginnering, Ritsumeikan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Enginnering, Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083331685","display_name":"Guifang Duan","orcid":"https://orcid.org/0000-0001-7974-7059"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Guifang Duan","raw_affiliation_strings":["Graduate School of Science and Enginnering, Ritsumeikan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Enginnering, Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015967560","display_name":"Xiang Ruan","orcid":"https://orcid.org/0000-0003-4500-7516"},"institutions":[{"id":"https://openalex.org/I146230289","display_name":"Omron (Japan)","ror":"https://ror.org/00q0w1h45","country_code":"JP","type":"company","lineage":["https://openalex.org/I146230289"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiang Ruan","raw_affiliation_strings":["Omron Corporation, Japan","OMRON Corporation, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Omron Corporation, Japan","institution_ids":["https://openalex.org/I146230289"]},{"raw_affiliation_string":"OMRON Corporation, Japan#TAB#","institution_ids":["https://openalex.org/I146230289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-wei Chen","raw_affiliation_strings":["Graduate School of Science and Enginnering, Ritsumeikan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Enginnering, Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5032","issue":null,"first_page":"173","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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":0.9962000250816345,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8327076435089111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7859668731689453},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7842413187026978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498833298683167},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6265676617622375},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5600414276123047},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5011091232299805},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48483169078826904},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47803792357444763},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4540886878967285},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.418300986289978},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40240082144737244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32931989431381226}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8327076435089111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7859668731689453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7842413187026978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498833298683167},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6265676617622375},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5600414276123047},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5011091232299805},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48483169078826904},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47803792357444763},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4540886878967285},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.418300986289978},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40240082144737244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32931989431381226},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/iccp.2011.6047865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2011.6047865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320323289","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1520035080","https://openalex.org/W1551936448","https://openalex.org/W1560724230","https://openalex.org/W1969294188","https://openalex.org/W1981153982","https://openalex.org/W2002841624","https://openalex.org/W2018282388","https://openalex.org/W2046763563","https://openalex.org/W2082453965","https://openalex.org/W2099741732","https://openalex.org/W2105488551","https://openalex.org/W2109868644","https://openalex.org/W2111993661","https://openalex.org/W2112020727","https://openalex.org/W2127218421","https://openalex.org/W2137234026","https://openalex.org/W2141224535","https://openalex.org/W2144564014","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2155938108","https://openalex.org/W2162762921","https://openalex.org/W2168809519","https://openalex.org/W3120421331","https://openalex.org/W3144619878","https://openalex.org/W3195149063","https://openalex.org/W6678914141","https://openalex.org/W7029284183","https://openalex.org/W7058071925"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2739923608"],"abstract_inverted_index":{"This":[0,154],"paper":[1],"addresses":[2],"the":[3,12,15,20,37,58,71,83,89,107,116,121,125,130,134,138,149],"problems":[4],"of":[5,36,73,140,160],"feature":[6,9,13,141],"selection":[7,65,118],"and":[8,31,57,62,78,81,157],"fusion.":[10],"For":[11,137],"selection,":[14],"color":[16,38,103],"SIFT":[17,39,104],"descriptors":[18],"in":[19,99,120],"independent":[21,33],"components":[22,34],"are":[23,92],"ordered":[24],"for":[25,133,162],"image":[26,164],"classification.":[27,165],"To":[28],"select":[29],"distinctive":[30,158],"compact":[32,156],"(IC)":[35],"descriptors,":[40],"we":[41],"propose":[42],"two":[43,85],"ordering":[44,51,56,127],"approaches":[45,52],"based":[46],"on":[47,76],"variation:":[48],"(1)":[49],"Local":[50],"(the":[53],"localization-based":[54],"ICs":[55,60,68],"sparseness-based":[59],"ordering)":[61],"(2)":[63],"Global":[64],"approach":[66],"(PCA-based":[67],"selection).We":[69],"evaluate":[70],"performance":[72,132],"proposed":[74,90],"methods":[75,91,128],"object":[77,135],"scene":[79,122],"databases,":[80],"obtain":[82,95],"following":[84],"main":[86],"results.":[87],"First,":[88],"able":[93],"to":[94,147],"acceptable":[96],"classification":[97,109],"results":[98],"comparison":[100],"with":[101],"original":[102],"descriptors.":[105],"Second,":[106],"highest":[108],"rate":[110],"can":[111],"be":[112],"obtained":[113],"by":[114],"using":[115],"global":[117],"method":[119],"database,":[123],"while":[124],"local":[126],"give":[129],"best":[131],"database.":[136],"aspect":[139],"fusion,":[142],"tensor-based":[143],"ICA":[144],"is":[145],"utilized":[146],"consider":[148],"relationship":[150],"between":[151],"different":[152],"features.":[153],"obtains":[155],"representation":[159],"images":[161],"effective":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
