{"id":"https://openalex.org/W2791593375","doi":"https://doi.org/10.1109/vcip.2017.8305053","title":"A generic method to improve no-reference image blur metric accuracy in video contents","display_name":"A generic method to improve no-reference image blur metric accuracy in video contents","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2791593375","doi":"https://doi.org/10.1109/vcip.2017.8305053","mag":"2791593375"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5074988370","display_name":"Yankai Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yankai Liu","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002404808","display_name":"Li Song","orcid":"https://orcid.org/0000-0002-7124-5182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Song","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai, China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101577089","display_name":"Rong Xie","orcid":"https://orcid.org/0000-0002-8261-5337"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Xie","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai, China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447806","display_name":"Wenjun Zhang","orcid":"https://orcid.org/0000-0001-8799-1182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Zhang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai, China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22105183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T11105","display_name":"Advanced Image Processing 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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9746000170707703,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7851369380950928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6863940954208374},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5847290754318237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5416274070739746},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.528472363948822},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5115286111831665},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4956604242324829},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4828789532184601},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.46700581908226013},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4405374228954315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4322810471057892},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3364822268486023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2485092580318451}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7851369380950928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6863940954208374},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5847290754318237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5416274070739746},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.528472363948822},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5115286111831665},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4956604242324829},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4828789532184601},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.46700581908226013},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4405374228954315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4322810471057892},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3364822268486023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2485092580318451},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vcip.2017.8305053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},{"id":"mag:2889780775","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201802211035470618","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327718","display_name":"Shanghai Key Laboratory of Digital Media Processing and Transmission","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1913628733","https://openalex.org/W1978598038","https://openalex.org/W2046119925","https://openalex.org/W2069737080","https://openalex.org/W2117117414","https://openalex.org/W2556068545","https://openalex.org/W2574437274"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2803139007","https://openalex.org/W2088647418"],"abstract_inverted_index":{"We":[0,25,71,132],"present":[1],"in":[2,47,63,107],"this":[3],"work":[4],"a":[5,35,75],"generic":[6],"and":[7,85,91],"effective":[8],"method":[9,137],"to":[10,39,44,142,151],"increase":[11],"the":[12,21,41,48,64,68,79,103,108,113,121,135,152],"prediction":[13,105,115],"accuracy":[14,106],"of":[15,67,129,139],"no-reference":[16],"image/video":[17],"blur":[18,32,144],"assessment":[19,145],"facing":[20],"real-world":[22],"content":[23,89,98,130,156],"diversity.":[24],"demonstrate":[26],"that":[27,74,134],"benchmarking":[28],"no":[29],"reference":[30],"image":[31],"metrics,":[33],"fitting":[34,57,95],"single":[36],"logistic":[37,94],"function":[38],"map":[40],"objective":[42,86],"predictions":[43,61,87],"subjective":[45,83],"scores":[46,84],"well-known":[49],"databases":[50,150],"like":[51],"LIVE":[52],"or":[53],"TID2008/2013,":[54],"introduce":[55],"biased":[56],"results":[58,127],"towards":[59],"better":[60],"only":[62],"central":[65],"part":[66],"score":[69,110],"scale.":[70,111],"find":[72],"out":[73],"multi-fitting":[76],"approach,":[77],"using":[78],"correlation":[80],"parameters":[81],"between":[82],"for":[88,96],"clustering":[90],"then":[92],"conducting":[93],"each":[97],"type,":[99],"can":[100],"evidently":[101],"improve":[102],"metric":[104],"full":[109],"Besides,":[112],"overall":[114],"variance":[116],"is":[117,138],"also":[118],"reduced":[119],"with":[120],"proposed":[122,136],"scheme,":[123],"presenting":[124],"more":[125],"consistent":[126],"insensitive":[128],"variation.":[131],"prove":[133],"practical":[140],"meaning":[141],"facilitate":[143],"techniques":[146],"validated":[147],"on":[148],"limited":[149],"vastly":[153],"abundant":[154],"real-life":[155],"types.":[157]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}