{"id":"https://openalex.org/W4320027625","doi":"https://doi.org/10.1109/pcs56426.2022.10018074","title":"Mixed-Resolution HESP for More Efficient Fast Channel Switching and Packet-Loss Repair","display_name":"Mixed-Resolution HESP for More Efficient Fast Channel Switching and Packet-Loss Repair","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4320027625","doi":"https://doi.org/10.1109/pcs56426.2022.10018074"},"language":"en","primary_location":{"id":"doi:10.1109/pcs56426.2022.10018074","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10018074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/01GQHQTYTZ28AVKDQD95Y1VE51/file/01GQHQWHBKPAAA6YHPE48HED3T.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048527990","display_name":"Glenn Van Wallendael","orcid":"https://orcid.org/0000-0001-9530-3466"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Glenn Van Wallendael","raw_affiliation_strings":["Ghent University &#x2013; imec,IDLab,Ghent,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University &#x2013; imec,IDLab,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066816962","display_name":"Peter Lambert","orcid":"https://orcid.org/0000-0001-5313-4158"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Lambert","raw_affiliation_strings":["Ghent University &#x2013; imec,IDLab,Ghent,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University &#x2013; imec,IDLab,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045373402","display_name":"Pieter-Jan Speelmans","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pieter-Jan Speelmans","raw_affiliation_strings":["THEO Technologies,Leuven,Belgium","THEO Technologies, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"THEO Technologies,Leuven,Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"THEO Technologies, Leuven, Belgium","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069780111","display_name":"Hannes Mareen","orcid":"https://orcid.org/0000-0002-0660-3190"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hannes Mareen","raw_affiliation_strings":["Ghent University &#x2013; imec,IDLab,Ghent,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University &#x2013; imec,IDLab,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5077,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65271425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"319","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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"}},"topics":[{"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8650964498519897},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.7217133045196533},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6420505046844482},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.6375420093536377},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6266847848892212},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5324612259864807},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5132327079772949},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5036289095878601},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.4601019620895386},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.41321584582328796},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39288151264190674},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22318822145462036},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19537794589996338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14239731431007385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8650964498519897},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.7217133045196533},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6420505046844482},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6375420093536377},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6266847848892212},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5324612259864807},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5132327079772949},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5036289095878601},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.4601019620895386},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.41321584582328796},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39288151264190674},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22318822145462036},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19537794589996338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14239731431007385},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pcs56426.2022.10018074","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10018074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:01GQHQTYTZ28AVKDQD95Y1VE51","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01GQHQTYTZ28AVKDQD95Y1VE51","pdf_url":"https://biblio.ugent.be/publication/01GQHQTYTZ28AVKDQD95Y1VE51/file/01GQHQWHBKPAAA6YHPE48HED3T.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781665492577","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:01GQHQTYTZ28AVKDQD95Y1VE51","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01GQHQTYTZ28AVKDQD95Y1VE51","pdf_url":"https://biblio.ugent.be/publication/01GQHQTYTZ28AVKDQD95Y1VE51/file/01GQHQWHBKPAAA6YHPE48HED3T.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781665492577","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2953997023","display_name":null,"funder_award_id":"HBC.2020.2375","funder_id":"https://openalex.org/F4320313460","funder_display_name":"Agentschap Innoveren en Ondernemen"},{"id":"https://openalex.org/G4084530699","display_name":"Video Watermarking \u2013 A Personalized Streaming Approach","funder_award_id":"1S55218N","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G5317956557","display_name":null,"funder_award_id":"2020.","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320313460","display_name":"Agentschap Innoveren en Ondernemen","ror":"https://ror.org/032xdry56"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320322603","display_name":"Universiteit Gent","ror":"https://ror.org/00cv9y106"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320027625.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2018218632","https://openalex.org/W2050554229","https://openalex.org/W2073191008","https://openalex.org/W2106290740","https://openalex.org/W2117958809","https://openalex.org/W2125994865","https://openalex.org/W2163566437","https://openalex.org/W2164076809","https://openalex.org/W2171342342","https://openalex.org/W2555406908","https://openalex.org/W2982110813","https://openalex.org/W3120665861","https://openalex.org/W3139303204","https://openalex.org/W3194639732","https://openalex.org/W3202918664","https://openalex.org/W4206812165","https://openalex.org/W4220828736","https://openalex.org/W4283821928","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W2137804590","https://openalex.org/W2119626116","https://openalex.org/W2005006301","https://openalex.org/W2130100961","https://openalex.org/W2352380146","https://openalex.org/W2037887240","https://openalex.org/W1994765432","https://openalex.org/W2186699851","https://openalex.org/W2374694975","https://openalex.org/W2129498986"],"abstract_inverted_index":{"Low-delay":[0],"live":[1],"streaming":[2],"applications":[3],"desire":[4],"fast":[5,193],"channel":[6,194],"switching":[7,195],"and":[8,80,166,186],"packet-loss":[9,172,197],"repair":[10,173],"capabilities.":[11],"However,":[12],"existing":[13],"methods":[14],"that":[15,55,137],"provide":[16],"these":[17],"capabilities":[18],"have":[19],"a":[20,68,88,92,96,116,125,139,152],"negative":[21],"impact":[22,104,162],"on":[23],"the":[24,36,77,103,111,128,144,148,160,183],"stream":[25,70,94,119],"of":[26,60,105,124,150,189],"steady-state":[27],"users.":[28],"To":[29],"minimize":[30],"this":[31,100],"impact,":[32],"techniques":[33,46],"such":[34],"as":[35],"High":[37],"Efficiency":[38],"Streaming":[39],"Protocol":[40],"(HESP)":[41],"utilize":[42],"keyframe":[43,90,108,141],"injection.":[44],"Such":[45],"combine":[47],"compression-efficient":[48],"normal":[49,75,93,122],"streams":[50,54,123],"with":[51],"corresponding":[52],"companion":[53,69,89,118],"are":[56,83],"used":[57],"in":[58,110],"case":[59],"random":[61],"access":[62],"or":[63,196],"packet":[64],"loss.":[65,155],"Unfortunately,":[66],"because":[67],"is":[71,167],"needed":[72],"for":[73,120],"every":[74],"stream,":[76],"distribution":[78],"cost":[79,149],"encoding":[81],"complexity":[82],"considerable":[84],"costs.":[85],"Additionally,":[86],"injecting":[87,138],"into":[91],"causes":[95],"bitrate":[97,126,145,184],"spike.":[98],"Therefore,":[99],"paper":[101],"evaluates":[102],"utilizing":[106],"mixed-resolution":[107,179],"injection":[109],"H.266/VVC":[112],"standard.":[113],"By":[114],"providing":[115],"single":[117],"all":[121],"ladder,":[127],"three":[129],"mentioned":[130],"downsides":[131],"can":[132,181],"be":[133],"mitigated.":[134],"We":[135],"found":[136],"lower-resolution":[140],"effectively":[142],"reduces":[143,163],"spike,":[146],"at":[147],"only":[151],"modest":[153],"quality":[154,161],"For":[156],"dynamic":[157],"video":[158],"content,":[159],"over":[164],"time,":[165],"less":[168],"perceptible":[169],"than":[170],"traditional":[171],"using":[174],"frame":[175],"copy.":[176],"In":[177],"conclusion,":[178],"HESP":[180,190],"reduce":[182],"spike":[185],"computational/distribution":[187],"overhead":[188],"when":[191],"enabling":[192],"repair.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
