{"id":"https://openalex.org/W2168662717","doi":"https://doi.org/10.1109/icip.2008.4712393","title":"Effective flicker removal from periodic intra frames and accurate flicker measurement","display_name":"Effective flicker removal from periodic intra frames and accurate flicker measurement","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2168662717","doi":"https://doi.org/10.1109/icip.2008.4712393","mag":"2168662717"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5016123060","display_name":"Hua Yang","orcid":"https://orcid.org/0000-0001-5536-503X"},"institutions":[{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Yang","raw_affiliation_strings":["Corporate Research, Thomson, Inc., Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corporate Research, Thomson, Inc., Princeton, NJ, USA","institution_ids":["https://openalex.org/I68384125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019748249","display_name":"Jill M. Boyce","orcid":"https://orcid.org/0000-0001-8431-6739"},"institutions":[{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jill M. Boyce","raw_affiliation_strings":["Corporate Research, Thomson, Inc., Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corporate Research, Thomson, Inc., Princeton, NJ, USA","institution_ids":["https://openalex.org/I68384125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043297368","display_name":"Alan Stein","orcid":"https://orcid.org/0000-0001-8207-2822"},"institutions":[{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan Stein","raw_affiliation_strings":["Corporate Research, Thomson, Inc., Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corporate Research, Thomson, Inc., Princeton, NJ, USA","institution_ids":["https://openalex.org/I68384125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68384125"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2868","last_page":"2871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9980000257492065,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965999722480774,"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":0.9584212303161621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833539009094238},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5891377329826355},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5488017201423645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5236865282058716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4258393347263336},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4236035645008087},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.39349016547203064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26952216029167175},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12749022245407104},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.0830259919166565},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07233181595802307}],"concepts":[{"id":"https://openalex.org/C19743564","wikidata":"https://www.wikidata.org/wiki/Q25378119","display_name":"Flicker","level":2,"score":0.9584212303161621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833539009094238},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5891377329826355},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5488017201423645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5236865282058716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4258393347263336},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4236035645008087},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.39349016547203064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26952216029167175},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12749022245407104},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0830259919166565},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07233181595802307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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":4,"referenced_works":["https://openalex.org/W1982953061","https://openalex.org/W2039227908","https://openalex.org/W2130985680","https://openalex.org/W2170379751"],"related_works":["https://openalex.org/W2461212857","https://openalex.org/W2393542839","https://openalex.org/W2608689891","https://openalex.org/W1968167504","https://openalex.org/W2594237268","https://openalex.org/W2081192961","https://openalex.org/W2136056355","https://openalex.org/W2155699583","https://openalex.org/W3119610428","https://openalex.org/W1986748663"],"abstract_inverted_index":{"Flicker":[0],"at":[1],"periodic":[2],"Intra-coded":[3],"frames":[4],"is":[5,27,54,101,108],"a":[6,23,37,102],"commonly":[7],"seen":[8],"video":[9],"coding":[10,43],"artifact,":[11],"especially":[12],"in":[13,67],"low":[14],"or":[15],"medium":[16],"bit":[17],"rate":[18],"coding.":[19,74],"In":[20],"this":[21,99],"paper,":[22],"novel":[24,103],"two-pass":[25],"scheme":[26,35,81],"proposed":[28],"to":[29,44],"effectively":[30],"remove":[31],"I-frame":[32,73,84],"flicker.":[33],"The":[34],"involves":[36],"first":[38],"pass":[39,70],"of":[40,49,71,93,98],"simplified":[41],"P-frame":[42],"derive":[45],"the":[46,50,58,68,89,111],"no-flicker":[47],"reference":[48],"current":[51],"frame,":[52],"which":[53,107],"then":[55],"taken":[56],"as":[57],"target":[59],"frame":[60],"and":[61,86,114],"coded":[62,94],"with":[63],"small":[64],"quantization":[65],"scales":[66],"second":[69],"actual":[72],"Extensive":[75],"experiment":[76],"results":[77],"demonstrate":[78],"that":[79],"our":[80],"successfully":[82],"removes":[83],"flicker,":[85],"greatly":[87],"enhances":[88],"overall":[90],"perceptual":[91],"quality":[92],"video.":[95],"Another":[96],"contribution":[97],"paper":[100],"flicker":[104,118],"distortion":[105],"metric,":[106,113],"superior":[109],"than":[110],"existing":[112],"can":[115],"accurately":[116],"measure":[117],"for":[119],"any":[120],"single":[121],"frame.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
