{"id":"https://openalex.org/W2091283871","doi":"https://doi.org/10.1109/icce-tw.2014.6904114","title":"Object recognition using bag of words with kernels for big data","display_name":"Object recognition using bag of words with kernels for big data","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2091283871","doi":"https://doi.org/10.1109/icce-tw.2014.6904114","mag":"2091283871"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw.2014.6904114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2014.6904114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Consumer Electronics - Taiwan","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/A5020068973","display_name":"Cheyu Wu","orcid":"https://orcid.org/0000-0002-1490-9843"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheyu Wu","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University","Department of Electrical Engineering, National Tsing Hua University, 1: Department of Computer, Science, National Tsing Hua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, 1: Department of Computer, Science, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016723773","display_name":"Ching\u2010Te Chiu","orcid":"https://orcid.org/0000-0003-2818-1125"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Te Chiu","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, TW","Department of Electrical Engineering, National Tsing Hua University, 1: Department of Computer, Science, National Tsing Hua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, TW","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, 1: Department of Computer, Science, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110705417","display_name":"Yarsun Hsu","orcid":"https://orcid.org/0009-0006-5434-6498"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yar-Sun Hsu","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Hsinchu, TW","Department of Electrical Engineering, National Tsing Hua University, 1: Department of Computer, Science, National Tsing Hua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Hsinchu, TW","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, 1: Department of Computer, Science, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"90"},"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":1.0,"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":1.0,"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":0.9980999827384949,"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":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9664809703826904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7837373614311218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746469259262085},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6848982572555542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5951640009880066},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5846007466316223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5774069428443909},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.5187059044837952},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4978220462799072},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4862276613712311},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48361244797706604},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4761752486228943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47400057315826416},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.46486979722976685},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.4596194624900818},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43890073895454407},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39199063181877136},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.3860475718975067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1699047088623047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09618997573852539}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9664809703826904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7837373614311218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746469259262085},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6848982572555542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5951640009880066},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5846007466316223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5774069428443909},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.5187059044837952},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4978220462799072},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4862276613712311},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48361244797706604},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4761752486228943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47400057315826416},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.46486979722976685},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.4596194624900818},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43890073895454407},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39199063181877136},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.3860475718975067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1699047088623047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09618997573852539},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw.2014.6904114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2014.6904114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W2074668987","https://openalex.org/W2145607950","https://openalex.org/W2154956324","https://openalex.org/W2162915993","https://openalex.org/W2171790913","https://openalex.org/W6669048727"],"related_works":["https://openalex.org/W1615295117","https://openalex.org/W2158102958","https://openalex.org/W2035094092","https://openalex.org/W2277784908","https://openalex.org/W2045213079","https://openalex.org/W2938717424","https://openalex.org/W2350926174","https://openalex.org/W2473933584","https://openalex.org/W2412408867","https://openalex.org/W2587721114"],"abstract_inverted_index":{"Scale":[0],"Invariant":[1],"Feature":[2],"Transform":[3],"(SIFT)":[4],"descriptor":[5,29],"can":[6],"represent":[7],"the":[8,40,49,59],"object":[9],"in":[10,34],"detail,":[11],"and":[12,21],"is":[13,39,67],"robust":[14],"to":[15,18,30,57],"variations":[16],"due":[17],"image":[19,32],"scaling":[20],"illumination":[22],"changes.":[23],"The":[24,62],"challenge":[25],"of":[26,51],"using":[27],"such":[28],"perform":[31],"retrieval":[33],"a":[35],"large":[36],"scale":[37],"database":[38],"high":[41],"computational":[42],"complexity.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,65],"present":[48],"bag":[50],"words":[52],"model":[53],"combined":[54],"with":[55],"SIFT":[56],"reduce":[58],"computation":[60],"cost.":[61],"average":[63],"precision":[64],"get":[66],"about":[68],"30%.":[69]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
