{"id":"https://openalex.org/W2052004564","doi":"https://doi.org/10.1109/iscas.2013.6572296","title":"A highly effective error concealment method for whole frame loss","display_name":"A highly effective error concealment method for whole frame loss","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2052004564","doi":"https://doi.org/10.1109/iscas.2013.6572296","mag":"2052004564"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2013.6572296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","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/A5101993842","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0003-4993-5416"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China","[Institute of Digital Media, Peking University, Beijing, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Institute of Digital Media, Peking University, Beijing, China.]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China","[Institute of Digital Media, Peking University, Beijing, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Institute of Digital Media, Peking University, Beijing, China.]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China#TAB#","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042721210","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0001-9923-068X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China","[Institute of Digital Media, Peking University, Beijing, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Institute of Digital Media, Peking University, Beijing, China.]","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2135","last_page":"2138"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9973999857902527,"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":0.8133395910263062},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.8129863739013672},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6786704063415527},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.584201455116272},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5725992918014526},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.5615038871765137},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4861273765563965},{"id":"https://openalex.org/keywords/error-concealment","display_name":"Error concealment","score":0.43356430530548096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4065699577331543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3969908356666565},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.37036681175231934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1417120397090912},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10592859983444214},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09624701738357544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133395910263062},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.8129863739013672},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6786704063415527},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.584201455116272},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5725992918014526},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.5615038871765137},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4861273765563965},{"id":"https://openalex.org/C2779751439","wikidata":"https://www.wikidata.org/wiki/Q1307508","display_name":"Error concealment","level":3,"score":0.43356430530548096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4065699577331543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3969908356666565},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.37036681175231934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1417120397090912},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10592859983444214},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09624701738357544},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2013.6572296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W65021353","https://openalex.org/W1530205298","https://openalex.org/W1551440933","https://openalex.org/W1898025522","https://openalex.org/W1973954704","https://openalex.org/W2070736254","https://openalex.org/W2096094750","https://openalex.org/W2098400661","https://openalex.org/W2103956786","https://openalex.org/W2108425343","https://openalex.org/W2110440242","https://openalex.org/W2136334648","https://openalex.org/W2150212432","https://openalex.org/W2152146613","https://openalex.org/W2152814852","https://openalex.org/W2159477504","https://openalex.org/W2167555868","https://openalex.org/W2545754276","https://openalex.org/W2749598010","https://openalex.org/W6602661196","https://openalex.org/W6729537912"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W3199712142","https://openalex.org/W2125062418","https://openalex.org/W3194639732","https://openalex.org/W2348615440","https://openalex.org/W2052004564","https://openalex.org/W2391146032"],"abstract_inverted_index":{"When":[0],"videos":[1],"are":[2],"transmitted":[3],"over":[4],"the":[5,21,34,66,87,102,115,124,129],"Internet,":[6],"packet":[7],"missing":[8],"is":[9,118],"inevitable":[10],"and":[11,71,141],"an":[12,73],"entire":[13],"frame":[14,37,54,117,136],"may":[15],"get":[16],"lost.":[17],"However,":[18],"most":[19],"of":[20,36,68,81,96,114],"literature":[22],"on":[23,65,93],"error":[24,131],"concealment":[25,55,132],"problems":[26],"can":[27],"only":[28],"deal":[29],"with":[30],"block":[31],"loss.":[32],"For":[33],"case":[35],"loss,":[38],"they":[39],"usually":[40],"fail":[41],"to":[42,77],"achieve":[43],"satisfactory":[44],"results.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,99],"propose":[50],"a":[51],"highly":[52],"effective":[53],"method,":[56],"which":[57,90],"gives":[58],"amazingly":[59],"good":[60],"recovery":[61],"quality.":[62,143],"We":[63],"base":[64],"theory":[67],"multiple":[69,112],"hypotheses":[70],"devise":[72],"adaptive":[74],"integration":[75],"scheme":[76],"make":[78],"full":[79],"use":[80],"each":[82],"hypothesis'":[83],"strength.":[84],"Different":[85],"from":[86],"existing":[88],"methods":[89,133],"mostly":[91],"rely":[92],"motion":[94],"vectors":[95],"previous":[97],"frames,":[98],"fully":[100],"exploit":[101],"correlation":[103],"between":[104],"consecutive":[105],"frames.":[106],"A":[107],"novel":[108],"idea":[109],"for":[110,134],"generating":[111],"estimates":[113],"lost":[116],"adopted.":[119],"Experimental":[120],"results":[121],"demonstrate":[122],"that":[123],"proposed":[125],"algorithm":[126],"significantly":[127],"outperforms":[128],"state-of-the-art":[130],"whole":[135],"loss":[137],"in":[138],"both":[139],"subjective":[140],"objective":[142]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
