乐胖代购免代理版

{"id":"https://openalex.org/W2107581861","doi":"https://doi.org/10.1109/icme.2013.6607422","title":"Detecting and classifying blurred image regions","display_name":"Detecting and classifying blurred image regions","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2107581861","doi":"https://doi.org/10.1109/icme.2013.6607422","mag":"2107581861"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607422","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100407852","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0002-1960-0992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Wei Xu","raw_affiliation_strings":["School of Computer Science and Technology University of Science and Technology of China,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110145100","display_name":"Jane Mulligan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096822","display_name":"Flashback Technologies (United States)","ror":"https://ror.org/00v1wvp38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210096822"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jane Mulligan","raw_affiliation_strings":["Flashback Technol., Inc., Boulder, CO, USA"],"affiliations":[{"raw_affiliation_string":"Flashback Technol., Inc., Boulder, CO, USA","institution_ids":["https://openalex.org/I4210096822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102145235","display_name":"Di Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Di Xu","raw_affiliation_strings":["Dept. of ECE, Univ. of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Univ. of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084710341","display_name":"Xiaoping Chen","orcid":"https://orcid.org/0000-0001-8992-9286"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Xiaoping Chen","raw_affiliation_strings":["School of Computer Science and Technology University of Science and Technology of China,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.817,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":11,"citation_normalized_percentile":{"value":0.835511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Single Image Super-Resolution Techniques","score":0.9998,"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/T11105","display_name":"Single Image Super-Resolution Techniques","score":0.9998,"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/T11659","display_name":"Multispectral and Hyperspectral Image Fusion","score":0.9969,"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/T10688","display_name":"Image Denoising Techniques and Algorithms","score":0.9969,"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/image-denoising","display_name":"Image Denoising","score":0.582222},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.513918}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6364036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62523097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6081528},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4392547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40904236}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607422","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.76,"display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":15,"referenced_works":["https://openalex.org/W1486632395","https://openalex.org/W1973339057","https://openalex.org/W1980766862","https://openalex.org/W1996312143","https://openalex.org/W2034355883","https://openalex.org/W2098535678","https://openalex.org/W2108364340","https://openalex.org/W2131686571","https://openalex.org/W2134856340","https://openalex.org/W2138088051","https://openalex.org/W2140266075","https://openalex.org/W2148647015","https://openalex.org/W2165746464","https://openalex.org/W2167034998","https://openalex.org/W2188665949"],"related_works":["https://openalex.org/W2993674027","https://openalex.org/W2889893736","https://openalex.org/W2366116130","https://openalex.org/W2314419244","https://openalex.org/W2235753890","https://openalex.org/W2161229648","https://openalex.org/W2132132164","https://openalex.org/W2130228941","https://openalex.org/W2092957489","https://openalex.org/W2005185696"],"abstract_inverted_index":{"Many":[0],"image":[1,9,45,65,105],"deblurring":[2,10],"algorithms":[3],"perform":[4],"blur":[5,14,37,47,59,107],"kernel":[6],"estimation":[7],"and":[8,16,31,49,52,70,109],"by":[11],"assuming":[12],"the":[13,44,92,120,127],"type":[15],"distribution":[17],"are":[18],"already":[19],"known.":[20],"However,":[21],"in":[22,29],"practice":[23],"such":[24],"information":[25,66],"is":[26],"not":[27],"known":[28],"advance":[30],"must":[32],"be":[33],"estimated":[34],"using":[35,61],"local":[36,58],"measures.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,101],"revisit":[43],"partial":[46,106],"detection":[48],"classification":[50],"problem":[51],"propose":[53],"several":[54],"new":[55],"or":[56,83],"enhanced":[57],"measures":[60,75,97],"different":[62],"types":[63],"of":[64,95,116],"including":[67],"color,":[68],"gradient":[69],"spectral":[71],"information.":[72],"The":[73],"proposed":[74,121],"demonstrate":[76],"stronger":[77],"discriminative":[78],"power,":[79],"better":[80],"across-image":[81],"stability":[82],"higher":[84],"computational":[85],"efficiency":[86],"than":[87],"previous":[88],"ones.":[89],"By":[90],"learning":[91],"optimal":[93],"combination":[94],"these":[96],"with":[98],"SVM":[99],"classifiers,":[100],"obtain":[102],"a":[103,113],"patch-based":[104],"detector":[108],"classifier.":[110],"Experiments":[111],"on":[112],"large":[114],"dataset":[115],"real":[117],"images":[118],"show":[119],"approach":[122],"has":[123],"superior":[124],"performance":[125],"to":[126],"state-of-the-art":[128],"approach.":[129]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2107581861","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2024-12-02T05:15:53.093611","created_date":"2016-06-24"}