{"id":"https://openalex.org/W2120219088","doi":"https://doi.org/10.1109/ciss.2009.5054805","title":"Category classification with ROIs using object detector","display_name":"Category classification with ROIs using object detector","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2120219088","doi":"https://doi.org/10.1109/ciss.2009.5054805","mag":"2120219088"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2009.5054805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2009.5054805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 43rd Annual Conference on Information Sciences and Systems","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/A5101954006","display_name":"Yasuhiro Ito","orcid":"https://orcid.org/0000-0001-5805-2282"},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiro Ito","raw_affiliation_strings":["Graduate School of Systems Science and Technology, Akita Prefectural University, Japan","Graduate School of Systems Science and Technology, Akita Prefectural University, 015-0055, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Science and Technology, Akita Prefectural University, Japan","institution_ids":["https://openalex.org/I5467274"]},{"raw_affiliation_string":"Graduate School of Systems Science and Technology, Akita Prefectural University, 015-0055, Japan","institution_ids":["https://openalex.org/I5467274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110469058","display_name":"Kazuki Saruta","orcid":null},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Saruta","raw_affiliation_strings":["Akita Prefectural University, Japan","Akita Prefectural University, 015-0055, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akita Prefectural University, Japan","institution_ids":["https://openalex.org/I5467274"]},{"raw_affiliation_string":"Akita Prefectural University, 015-0055, Japan","institution_ids":["https://openalex.org/I5467274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112690200","display_name":"Yuki Terata","orcid":null},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Terata","raw_affiliation_strings":["Akita Prefectural University, Japan","Akita Prefectural University, 015-0055, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akita Prefectural University, Japan","institution_ids":["https://openalex.org/I5467274"]},{"raw_affiliation_string":"Akita Prefectural University, 015-0055, Japan","institution_ids":["https://openalex.org/I5467274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101051746","display_name":"Kazutoki Takeda","orcid":null},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazutoki Takeda","raw_affiliation_strings":["Akita Prefectural University, Japan","Akita Prefectural University, 015-0055, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akita Prefectural University, Japan","institution_ids":["https://openalex.org/I5467274"]},{"raw_affiliation_string":"Akita Prefectural University, 015-0055, Japan","institution_ids":["https://openalex.org/I5467274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5467274"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15549532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"687","last_page":"687"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9943000078201294,"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/clutter","display_name":"Clutter","score":0.8407871723175049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8249285221099854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7734044790267944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7443448901176453},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6523116827011108},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6204019784927368},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5577090978622437},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5534623861312866},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.5402474403381348},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5219951868057251},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5054500102996826},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4874839782714844},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4556550979614258},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44171321392059326},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43206387758255005},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.4147307872772217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35742536187171936},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1282036304473877},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.06917935609817505}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8407871723175049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8249285221099854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7734044790267944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443448901176453},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6523116827011108},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6204019784927368},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5577090978622437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5534623861312866},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.5402474403381348},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5219951868057251},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5054500102996826},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4874839782714844},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4556550979614258},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44171321392059326},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43206387758255005},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.4147307872772217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35742536187171936},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1282036304473877},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.06917935609817505},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":1,"locations":[{"id":"doi:10.1109/ciss.2009.5054805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2009.5054805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 43rd Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2120369594","https://openalex.org/W2161969291"],"related_works":["https://openalex.org/W2538184184","https://openalex.org/W2046953865","https://openalex.org/W3006949615","https://openalex.org/W4387272257","https://openalex.org/W4362565474","https://openalex.org/W2727211572","https://openalex.org/W2131115545","https://openalex.org/W2322171971","https://openalex.org/W2345202531","https://openalex.org/W2099016117"],"abstract_inverted_index":{"Visual":[0],"category":[1,17],"recognition":[2,18],"is":[3,72,110],"challenging":[4],"in":[5,40,66,128],"computer":[6],"vision":[7],"and":[8,26,42,52,79,92,124,130],"has":[9],"several":[10],"problem.":[11],"Some":[12],"of":[13,37,77,97,99,108],"problems":[14],"on":[15,111],"visual":[16],"are":[19],"variance":[20],"to":[21,48,63],"the":[22,106,112],"object":[23,49,61,70,78,126],"instance":[24,50],"position":[25,51,127],"background":[27,54],"clutter.":[28,55],"In":[29,56,103],"this":[30,104],"paper,":[31,105],"we":[32,59],"propose":[33],"method":[34,119],"select":[35,64],"region":[36],"interest":[38],"(ROI)":[39],"training":[41,57,75,100,129],"recognizing":[43,67],"automatically.":[44,68],"This":[45],"provide":[46],"invariance":[47],"removing":[53],"phase,":[58],"make":[60],"detector":[62,71],"ROI":[65,84],"The":[69],"made":[73],"by":[74,88],"regions":[76],"non-object,":[80],"which":[81],"determine":[82],"a":[83],"without":[85],"user":[86],"annotation":[87],"using":[89],"class":[90,95],"label":[91],"some":[93],"same":[94],"image":[96,101,113],"set":[98,107],"set.":[102],"experiments":[109],"database.":[114],"We":[115],"prove":[116],"our":[117],"proposed":[118],"can":[120],"achieve":[121],"high":[122],"accuracy":[123],"recognize":[125],"recognizing.":[131]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
