{"id":"https://openalex.org/W2167555868","doi":"https://doi.org/10.1109/tip.2009.2032311","title":"A Hybrid Frame Concealment Algorithm for H.264/AVC","display_name":"A Hybrid Frame Concealment Algorithm for H.264/AVC","publication_year":2009,"publication_date":"2009-09-16","ids":{"openalex":"https://openalex.org/W2167555868","doi":"https://doi.org/10.1109/tip.2009.2032311","mag":"2167555868","pmid":"https://pubmed.ncbi.nlm.nih.gov/19758866"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2009.2032311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2032311","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5081115024","display_name":"Bo Yan","orcid":"https://orcid.org/0000-0003-0256-9682"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yan","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China. byan@fudan.edu.cn","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China. byan@fudan.edu.cn","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062830296","display_name":"Hamid Gharavi","orcid":"https://orcid.org/0000-0003-3832-488X"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Gharavi","raw_affiliation_strings":["National Institute for Standards and Technology, Gaithersburg, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute for Standards and Technology, Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1321296531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.1083,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.98170075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"19","issue":"1","first_page":"98","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996999979019165,"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":0.996999979019165,"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":0.7771447896957397},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.7365155220031738},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7325234413146973},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.7142822742462158},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.6334197521209717},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.5992435216903687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5866674184799194},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.5274220705032349},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.4906446039676666},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4847690463066101},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4685305953025818},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4643450379371643},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.45945483446121216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4495934545993805},{"id":"https://openalex.org/keywords/intra-frame","display_name":"Intra-frame","score":0.43615105748176575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4216839373111725},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.25063812732696533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15848109126091003},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.15781137347221375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15409845113754272},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.12955215573310852},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08641922473907471},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08522683382034302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771447896957397},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.7365155220031738},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7325234413146973},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.7142822742462158},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.6334197521209717},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.5992435216903687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5866674184799194},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.5274220705032349},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.4906446039676666},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4847690463066101},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4685305953025818},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4643450379371643},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.45945483446121216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4495934545993805},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.43615105748176575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4216839373111725},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.25063812732696533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15848109126091003},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.15781137347221375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15409845113754272},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.12955215573310852},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08641922473907471},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08522683382034302},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2009.2032311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2032311","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:19758866","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19758866","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W65021353","https://openalex.org/W1551440933","https://openalex.org/W1591766114","https://openalex.org/W1755824191","https://openalex.org/W1949567801","https://openalex.org/W2003775087","https://openalex.org/W2010769219","https://openalex.org/W2028437265","https://openalex.org/W2043151551","https://openalex.org/W2062161488","https://openalex.org/W2087216569","https://openalex.org/W2098736723","https://openalex.org/W2098904378","https://openalex.org/W2101207231","https://openalex.org/W2102373785","https://openalex.org/W2103956786","https://openalex.org/W2106219841","https://openalex.org/W2108002544","https://openalex.org/W2108425343","https://openalex.org/W2110840970","https://openalex.org/W2112017170","https://openalex.org/W2119302304","https://openalex.org/W2124866860","https://openalex.org/W2126966199","https://openalex.org/W2133243168","https://openalex.org/W2138050884","https://openalex.org/W2140199336","https://openalex.org/W2143633984","https://openalex.org/W2147342544","https://openalex.org/W2152488086","https://openalex.org/W2153866547","https://openalex.org/W2545754276","https://openalex.org/W4206391718","https://openalex.org/W6633052780","https://openalex.org/W6651129412","https://openalex.org/W6679005888"],"related_works":["https://openalex.org/W1969136679","https://openalex.org/W2119751394","https://openalex.org/W2070879308","https://openalex.org/W1579940903","https://openalex.org/W2031252497","https://openalex.org/W4250500397","https://openalex.org/W2149600693","https://openalex.org/W2402259974","https://openalex.org/W2351614030","https://openalex.org/W1994963971"],"abstract_inverted_index":{"In":[0,58],"packet-based":[1],"video":[2,18],"transmissions,":[3],"packets":[4],"loss":[5,14,45],"due":[6],"to":[7,30,52,60,78,88],"channel":[8,32],"errors":[9],"may":[10],"result":[11],"in":[12,28,64],"the":[13,16,37,44,54,80,94,98],"of":[15,36,46,97],"whole":[17,55,81],"frame.":[19,57],"Recently,":[20],"many":[21],"error":[22],"concealment":[23],"algorithms":[24,39],"have":[25,68],"been":[26],"proposed":[27,69],"order":[29,59],"combat":[31],"errors;":[33],"however,":[34],"most":[35],"existing":[38,117],"can":[40],"only":[41],"deal":[42],"with":[43],"macroblocks":[47],"and":[48,84,113],"are":[49],"not":[50],"able":[51,87],"conceal":[53],"missing":[56,82,99],"resolve":[61],"this":[62,65],"problem,":[63],"paper,":[66],"we":[67],"a":[70],"new":[71],"hybrid":[72],"motion":[73,95],"vector":[74],"extrapolation":[75],"(HMVE)":[76],"algorithm":[77],"recover":[79],"frame,":[83],"it":[85,109],"is":[86,110],"provide":[89],"more":[90],"accurate":[91],"estimation":[92],"for":[93],"vectors":[96],"frame":[100,118],"than":[101],"other":[102,116],"conventional":[103],"methods.":[104,120],"Simulation":[105],"results":[106],"show":[107],"that":[108],"highly":[111],"effective":[112],"significantly":[114],"outperforms":[115],"recovery":[119]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":9}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}