{"id":"https://openalex.org/W2896797241","doi":"https://doi.org/10.1109/bigmm.2018.8499461","title":"Video Deflickering Using Multi - Frame Optimization","display_name":"Video Deflickering Using Multi - Frame Optimization","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2896797241","doi":"https://doi.org/10.1109/bigmm.2018.8499461","mag":"2896797241"},"language":"en","primary_location":{"id":"doi:10.1109/bigmm.2018.8499461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","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/A5100323228","display_name":"Chao Li","orcid":"https://orcid.org/0000-0002-8046-9110"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Department of CSE, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113434075","display_name":"Zhihua Chen","orcid":"https://orcid.org/0000-0003-1455-674X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Chen","raw_affiliation_strings":["Department of CSE, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102765877","display_name":"Bin Sheng","orcid":"https://orcid.org/0000-0001-8510-2556"},"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":"Bin Sheng","raw_affiliation_strings":["Department of CSE, Shanghai JiaoTong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, Shanghai JiaoTong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435494","display_name":"Ping Li","orcid":"https://orcid.org/0000-0002-1503-0240"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["Faculty of IT, Macau University of ScienceandTechnology, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of IT, Macau University of ScienceandTechnology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001077607","display_name":"Gaoqi He","orcid":"https://orcid.org/0000-0001-8365-0970"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoqi He","raw_affiliation_strings":["Department of CSE, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9991000294685364,"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":0.9991000294685364,"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/flicker","display_name":"Flicker","score":0.8458242416381836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7963526248931885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7825115919113159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7157628536224365},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5356983542442322},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5143752694129944},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.49244794249534607},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4584057629108429},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.455070436000824},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.43922463059425354},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2512129545211792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12904292345046997}],"concepts":[{"id":"https://openalex.org/C19743564","wikidata":"https://www.wikidata.org/wiki/Q25378119","display_name":"Flicker","level":2,"score":0.8458242416381836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7963526248931885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7825115919113159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7157628536224365},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5356983542442322},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5143752694129944},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.49244794249534607},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4584057629108429},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.455070436000824},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.43922463059425354},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2512129545211792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12904292345046997},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigmm.2018.8499461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1946424953","https://openalex.org/W1973256915","https://openalex.org/W1992454114","https://openalex.org/W1994246617","https://openalex.org/W2017387569","https://openalex.org/W2020368789","https://openalex.org/W2026301900","https://openalex.org/W2027262223","https://openalex.org/W2040369854","https://openalex.org/W2053017016","https://openalex.org/W2055625415","https://openalex.org/W2063978378","https://openalex.org/W2065002911","https://openalex.org/W2076491823","https://openalex.org/W2090518410","https://openalex.org/W2118246710","https://openalex.org/W2119383995","https://openalex.org/W2146721395","https://openalex.org/W2244684328","https://openalex.org/W3139533703","https://openalex.org/W4244187964","https://openalex.org/W6640440856"],"related_works":["https://openalex.org/W2461212857","https://openalex.org/W2393542839","https://openalex.org/W1968167504","https://openalex.org/W2608689891","https://openalex.org/W2594237268","https://openalex.org/W2081192961","https://openalex.org/W2136056355","https://openalex.org/W2007560172","https://openalex.org/W1998762914","https://openalex.org/W2162641729"],"abstract_inverted_index":{"In":[0,29],"this":[1],"paper,":[2],"we":[3,34,65,76,96,129],"propose":[4,66],"an":[5,25],"approach":[6],"of":[7,86,121,157,168],"removing":[8],"flickering":[9,37,57,89,104],"artifacts":[10],"in":[11,110],"a":[12,67,88,135],"video.":[13,28],"The":[14],"video":[15,31,46,56,72,122,131,141,174],"is":[16],"obtained":[17,144],"via":[18,145],"applying":[19],"the":[20,63,103,107,111,119,147,152,166],"image-based":[21],"processing":[22],"methods":[23],"to":[24,44,53,101],"original":[26],"non-flickering":[27,139],"traditional":[30],"deflickering":[32,73,175],"methods,":[33],"always":[35,51],"reconstruct":[36,102],"frames":[38,70,100,172],"with":[39,151],"nonflickering":[40],"frames,":[41],"which":[42],"fail":[43],"keep":[45],"spatial":[47,81,127],"consistency":[48],"and":[49,80,126,162],"are":[50],"designed":[52],"address":[54],"certain":[55],"artifact":[58],"under":[59],"specific":[60],"condition.":[61],"On":[62],"contrary,":[64],"general":[68],"multiple":[69,98,171],"based":[71,173],"approach,":[74],"where":[75],"take":[77],"both":[78],"temporal":[79,124],"coherence":[82,125],"into":[83],"account.":[84],"Instead":[85],"reconstructing":[87],"frame":[90],"only":[91],"from":[92],"its":[93],"last":[94],"frame,":[95,105],"warp":[97,108],"corresponding":[99],"so":[106],"inaccuracy":[109],"reconstruction":[112],"process":[113],"can":[114,142],"be":[115,143],"reduced.":[116],"By":[117],"taking":[118],"advantage":[120],"fidelity,":[123],"coherence,":[128],"formulate":[130],"deflickeing":[132],"objective":[133,160],"as":[134],"least-squares":[136],"energy.":[137],"A":[138],"output":[140],"solving":[146],"constructed":[148],"energy":[149],"formulation":[150],"least":[153],"angle":[154],"regression.":[155],"Results":[156],"visual":[158],"quality,":[159],"measurement":[161],"user":[163],"study":[164],"demonstrate":[165],"efficiency":[167],"our":[169],"proposed":[170],"approach.":[176]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}