{"id":"https://openalex.org/W3035812651","doi":"https://doi.org/10.1109/wcnc45663.2020.9120661","title":"An Unequal Coding Scheme for H.265 Video Transmission","display_name":"An Unequal Coding Scheme for H.265 Video Transmission","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3035812651","doi":"https://doi.org/10.1109/wcnc45663.2020.9120661","mag":"3035812651"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc45663.2020.9120661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc45663.2020.9120661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},"type":"article","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/A5080280021","display_name":"Yekeng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yekeng Huang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061163620","display_name":"Meiying Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiying Ji","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067053704","display_name":"Jiachen Sun","orcid":"https://orcid.org/0000-0002-4042-1200"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Sun","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110280288","display_name":"Baodian Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baodian Wei","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057620799","display_name":"Xiao Ma","orcid":"https://orcid.org/0000-0001-6617-1978"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ma","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080280021"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.3031,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52732061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9991000294685364,"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":0.9991000294685364,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9958999752998352,"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/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.7108310461044312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6661619544029236},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.6141304969787598},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5908796787261963},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5572917461395264},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.5378308892250061},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.533121645450592},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.4789619743824005},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.45172375440597534},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.36890313029289246},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3586816191673279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3073294162750244},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.26716741919517517},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16240492463111877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1431901454925537}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.7108310461044312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661619544029236},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.6141304969787598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5908796787261963},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5572917461395264},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.5378308892250061},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.533121645450592},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.4789619743824005},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.45172375440597534},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.36890313029289246},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3586816191673279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3073294162750244},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.26716741919517517},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16240492463111877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1431901454925537},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc45663.2020.9120661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc45663.2020.9120661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W174971197","https://openalex.org/W1868704234","https://openalex.org/W2019094564","https://openalex.org/W2024066070","https://openalex.org/W2024664900","https://openalex.org/W2047215160","https://openalex.org/W2089710988","https://openalex.org/W2137813581","https://openalex.org/W2138866170","https://openalex.org/W2139584447","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2198937529","https://openalex.org/W2477624866","https://openalex.org/W2505609860","https://openalex.org/W2510502162","https://openalex.org/W2789254838","https://openalex.org/W2890038526","https://openalex.org/W2962855623","https://openalex.org/W6639436706","https://openalex.org/W6687845883"],"related_works":["https://openalex.org/W2116044594","https://openalex.org/W2101999641","https://openalex.org/W1503152075","https://openalex.org/W301676527","https://openalex.org/W2052600062","https://openalex.org/W2124541664","https://openalex.org/W289296924","https://openalex.org/W2122920812","https://openalex.org/W2942696422","https://openalex.org/W2076148615"],"abstract_inverted_index":{"In":[0,88],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,57,64,76,85],"new":[6,43],"multi-level":[7],"unequal":[8,29],"error":[9,24,30,216],"protection":[10,25,31,217],"(UEP)":[11],"by":[12,32,131,152],"superposition":[13,34,167,186],"transmission":[14,35,51,148,157,164,183],"(referred":[15,36],"to":[16,37,49],"as":[17,38,63,139],"ML-UEP-by-ST)":[18],"coding":[19,40,44],"scheme,":[20],"which":[21],"provides":[22],"finer":[23],"abilities":[26],"than":[27,212],"the":[28,53,89,105,111,118,132,142,162,166,173,181,185,192,196,203,213,221],"partial":[33],"UEP-by-PST)":[39],"scheme.":[41],"This":[42],"scheme":[45,209,219,224],"is":[46,99,129,149,158,165,184,210],"then":[47,150],"applied":[48],"video":[50,58,78,97],"with":[52],"H.265":[54,96],"standard,":[55],"where":[56],"bitstream":[59,98],"can":[60],"be":[61],"regarded":[62],"series":[65],"of":[66,74,94,125,168,176,187,195,205],"one":[67],"or":[68,84],"more":[69],"groups.":[70],"Each":[71,124],"group":[72,93],"consists":[73],"either":[75],"coded":[77,159,169,177,188],"sequence":[79],"(CVS)":[80],"and":[81,117,172,180,191,220,233],"parameter":[82],"sets":[83],"CVS":[86],"only.":[87],"ML-UEP-by-ST":[90],"system,":[91],"each":[92],"an":[95],"partitioned":[100],"equally":[101],"into":[102],"three":[103,127,153],"parts,":[104],"most":[106],"important":[107,113,120],"part":[108,114,121],"(Part":[109,115,122],"A),":[110],"less":[112],"B)":[116],"least":[119],"C).":[123],"these":[126],"parts":[128],"encoded":[130],"same":[133],"low-density":[134],"parity":[135],"check":[136],"(LDPC)":[137],"code":[138],"standardized":[140],"in":[141],"fifth":[143],"generation":[144],"mobile":[145],"networks(5G).":[146],"The":[147,155],"formed":[151],"sections.":[154],"first":[156],"Part":[160,170,178,189],"A,":[161,179],"second":[163,197],"B":[171],"interleaved":[174,193],"version":[175,194],"third":[182],"C":[190],"transmission.":[198],"Simulation":[199],"results":[200],"show":[201],"that":[202],"performance":[204],"our":[206],"proposed":[207],"UEP":[208],"better":[211],"traditional":[214],"equal":[215],"(EEP)":[218],"two-level":[222],"UEP-by-PST":[223],"over":[225],"both":[226],"additive":[227],"white":[228],"Gaussian":[229],"noise":[230],"(AWGN)":[231],"channels":[232],"Rayleigh":[234],"fading":[235],"channels.":[236]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}