{"id":"https://openalex.org/W4411725651","doi":"https://doi.org/10.1109/iscas56072.2025.11044003","title":"Monotonic Neural Network based Rate-Distortion Modeling for H.266/VVC","display_name":"Monotonic Neural Network based Rate-Distortion Modeling for H.266/VVC","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411725651","doi":"https://doi.org/10.1109/iscas56072.2025.11044003"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11044003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100670527","display_name":"Xiang Pan","orcid":"https://orcid.org/0000-0001-9108-944X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Pan","raw_affiliation_strings":["Tencent"],"affiliations":[{"raw_affiliation_string":"Tencent","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006748765","display_name":"Zhenzhong Chen","orcid":"https://orcid.org/0000-0002-7882-1066"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhong Chen","raw_affiliation_strings":["Wuhan University"],"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100670527"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17191973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10361","display_name":"Silicon Carbide Semiconductor Technologies","score":0.9179999828338623,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.7364466786384583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6019484996795654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.599946916103363},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5318362712860107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36400118470191956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3445799946784973},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.263607382774353},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08565697073936462},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07320916652679443},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.057828545570373535}],"concepts":[{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.7364466786384583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6019484996795654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.599946916103363},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5318362712860107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36400118470191956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3445799946784973},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.263607382774353},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08565697073936462},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07320916652679443},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.057828545570373535},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11044003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1964204065","https://openalex.org/W2031614119","https://openalex.org/W2072635189","https://openalex.org/W2095709228","https://openalex.org/W2152486668","https://openalex.org/W2156853977","https://openalex.org/W2194775991","https://openalex.org/W2550441606","https://openalex.org/W2769654144","https://openalex.org/W2793249124","https://openalex.org/W2798405286","https://openalex.org/W2936017994","https://openalex.org/W2941096192","https://openalex.org/W3001347582","https://openalex.org/W3020488271","https://openalex.org/W4312935581","https://openalex.org/W4313639663","https://openalex.org/W4360994344","https://openalex.org/W4384788029"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2077314575","https://openalex.org/W4315701745","https://openalex.org/W1990290471","https://openalex.org/W4380682190","https://openalex.org/W2005710836","https://openalex.org/W2102386043","https://openalex.org/W2945307361","https://openalex.org/W1987764909","https://openalex.org/W2116636209"],"abstract_inverted_index":{"Employing":[0],"neural":[1,57],"networks":[2],"(NN)":[3],"for":[4],"rate-distortion":[5],"(R-D)":[6],"modeling":[7],"in":[8,32,49,143],"image/video":[9],"coding":[10],"has":[11],"received":[12],"growing":[13],"attention.":[14],"Typically,":[15],"NNs":[16],"are":[17],"used":[18],"to":[19,60,69,72,87,97],"capture":[20],"the":[21,25,42,45,74,89,92,98,102,109,116,126,133,139],"R-D":[22,46,118],"relationship":[23,78,119],"through":[24],"rate-quantizer":[26],"(R-Q)":[27],"and":[28,76,95,146],"distortion-quantizer":[29],"(D-Q)":[30],"models":[31],"various":[33],"works.":[34],"However,":[35],"existing":[36],"NN-based":[37,141],"schemes":[38],"do":[39],"not":[40],"consider":[41],"monotonicity":[43],"of":[44,104],"relationship,":[47],"resulting":[48],"inferior":[50],"distortion":[51],"predictions.":[52],"We":[53,64,82],"design":[54],"a":[55],"monotonic":[56,80,117],"network-based":[58],"scheme":[59,142],"tackle":[61],"this":[62],"issue.":[63],"first":[65],"adopt":[66],"linear":[67],"scaling":[68],"ground":[70],"truth":[71],"make":[73],"R-Q":[75],"D-Q":[77],"always":[79],"increasing.":[81],"then":[83],"train":[84],"an":[85],"NN":[86,105],"learn":[88],"mapping":[90],"from":[91],"latent":[93],"features":[94],"quantizer":[96],"rate/distortion":[99],"while":[100],"enforcing":[101],"derivative":[103],"predicted":[106],"R/D":[107],"w.r.t":[108],"QP":[110],"is":[111,136],"strictly":[112],"positive.":[113],"As":[114],"such,":[115],"can":[120],"be":[121],"maintained.":[122],"Simulation":[123],"results":[124],"on":[125],"Vimeo":[127],"dataset":[128],"with":[129],"H.266/VVC":[130],"show":[131],"that":[132],"proposed":[134],"approach":[135],"better":[137],"than":[138],"state-of-the-art":[140],"prediction":[144],"accuracy":[145],"maintaining":[147],"monotonicity.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
