{"id":"https://openalex.org/W2784261971","doi":"https://doi.org/10.1109/icawst.2017.8256442","title":"Efficient big image data retrieval using clustering index and parallel computation","display_name":"Efficient big image data retrieval using clustering index and parallel computation","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2784261971","doi":"https://doi.org/10.1109/icawst.2017.8256442","mag":"2784261971"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2017.8256442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2017.8256442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","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/A5008185438","display_name":"Ja-Hwung Su","orcid":"https://orcid.org/0000-0003-1236-7208"},"institutions":[{"id":"https://openalex.org/I91951123","display_name":"Cheng Shiu University","ror":"https://ror.org/011bdtx65","country_code":"TW","type":"education","lineage":["https://openalex.org/I91951123"]},{"id":"https://openalex.org/I174748290","display_name":"Kainan University","ror":"https://ror.org/018p1hd91","country_code":"TW","type":"education","lineage":["https://openalex.org/I174748290"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ja-Hwung Su","raw_affiliation_strings":["Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan","Department of Information Management, Kainan University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I91951123"]},{"raw_affiliation_string":"Department of Information Management, Kainan University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I174748290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003046191","display_name":"Chu-Yu Chin","orcid":null},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]},{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chu-Yu Chin","raw_affiliation_strings":["Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan","Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan","institution_ids":["https://openalex.org/I92172085"]},{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084199983","display_name":"Jyun-Yu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I91951123","display_name":"Cheng Shiu University","ror":"https://ror.org/011bdtx65","country_code":"TW","type":"education","lineage":["https://openalex.org/I91951123"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jyun-Yu Li","raw_affiliation_strings":["Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I91951123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043399804","display_name":"Vincent S. Tseng","orcid":"https://orcid.org/0000-0002-4853-1594"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vincent S. Tseng","raw_affiliation_strings":["Computer Science and Information Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008185438"],"corresponding_institution_ids":["https://openalex.org/I174748290","https://openalex.org/I91951123"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59544865,"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":"182","last_page":"187"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9771999716758728,"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/computer-science","display_name":"Computer science","score":0.8421945571899414},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.8266423940658569},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6449111104011536},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5589292049407959},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.526084303855896},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4938276708126068},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4494211971759796},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.4446500241756439},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4241178035736084},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.41660380363464355},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3885813355445862},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3877227306365967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3722916841506958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8421945571899414},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.8266423940658569},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6449111104011536},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5589292049407959},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.526084303855896},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4938276708126068},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4494211971759796},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4446500241756439},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4241178035736084},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.41660380363464355},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3885813355445862},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3877227306365967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3722916841506958},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2017.8256442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2017.8256442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1978962787","https://openalex.org/W2076387525","https://openalex.org/W2117539524","https://openalex.org/W2120480077","https://openalex.org/W2146851707","https://openalex.org/W2166187238","https://openalex.org/W2513726778","https://openalex.org/W2520762695","https://openalex.org/W2586937979","https://openalex.org/W2604004261","https://openalex.org/W2691166460","https://openalex.org/W6681867190","https://openalex.org/W6733147417"],"related_works":["https://openalex.org/W2123147980","https://openalex.org/W2066590080","https://openalex.org/W2076842684","https://openalex.org/W2918350319","https://openalex.org/W2513891871","https://openalex.org/W1539573266","https://openalex.org/W4387423606","https://openalex.org/W2187873862","https://openalex.org/W3101846449","https://openalex.org/W2396850383"],"abstract_inverted_index":{"Image":[0],"data":[1,17,40,73,148],"has":[2,18,52],"grown":[3],"rapidly":[4],"because":[5,14],"of":[6,38,93,139],"advances":[7],"on":[8,26],"photo":[9],"capturing":[10],"devices.":[11],"In":[12,82,95,134],"traditional,":[13],"the":[15,27,32,58,83,86,96,99,103,130,135,154,159],"image":[16,39,50,72,105,120,147],"not":[19],"been":[20,53],"huge,":[21],"most":[22],"past":[23],"studies":[24],"focused":[25],"effectiveness":[28,132],"improvement.":[29],"However,":[30],"accessing":[31],"images":[33,87,101],"from":[34],"a":[35,42,54,91,109,117],"huge":[36],"amount":[37],"needs":[41],"large":[43],"cost.":[44],"Hence,":[45],"how":[46],"to":[47,102,115],"perform":[48],"efficient":[49,70,119],"retrieval":[51,74,121,140,149],"hot":[55],"topic":[56],"in":[57,65,123],"last":[59],"few":[60],"decades.":[61],"To":[62],"this":[63,66],"end,":[64],"paper,":[67],"we":[68],"propose":[69],"big":[71],"by":[75,108],"using":[76],"clustering":[77],"index":[78],"and":[79,143],"parallel":[80],"computation.":[81],"offline":[84],"stage,":[85,98],"are":[88,106,141],"grouped":[89],"into":[90],"number":[92],"clusters.":[94],"online":[97],"relevant":[100],"query":[104],"retrieved":[107],"level-wise":[110],"search.":[111],"Our":[112],"intent":[113],"is":[114,150],"conduct":[116],"more":[118],"method":[122],"comparison":[124],"with":[125],"traditional":[126],"methods":[127,157],"but":[128],"keep":[129],"same":[131],"still.":[133],"experiments,":[136],"four":[137],"types":[138],"compared":[142,156],"our":[144],"proposed":[145],"parallelized":[146],"much":[151],"faster":[152],"than":[153],"other":[155],"under":[158],"very":[160],"close":[161],"accuracies.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}