{"id":"https://openalex.org/W4415709444","doi":"https://doi.org/10.1109/icme59968.2025.11209191","title":"Quality Control For HEVC: A Deep Reinforcement Learning Approach","display_name":"Quality Control For HEVC: A Deep Reinforcement Learning Approach","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415709444","doi":"https://doi.org/10.1109/icme59968.2025.11209191"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5103233890","display_name":"Yichen Guo","orcid":"https://orcid.org/0000-0003-3164-9139"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Guo","raw_affiliation_strings":["Beihang University,School of Electronic and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737034","display_name":"Rui Ding","orcid":"https://orcid.org/0000-0003-2880-9736"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Ding","raw_affiliation_strings":["Beihang University,School of Electronic and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["Beihang University,School of Electronic and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886090","display_name":"Lai Jiang","orcid":"https://orcid.org/0000-0002-4639-8136"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lai Jiang","raw_affiliation_strings":["Beihang University,School of Electronic and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102899011","display_name":"Shengxi Li","orcid":"https://orcid.org/0000-0003-4979-9290"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxi Li","raw_affiliation_strings":["Beihang University,School of Electronic and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040495514","display_name":"Xin Deng","orcid":"https://orcid.org/0000-0002-4708-6572"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Deng","raw_affiliation_strings":["Beihang University,School of Electronic and Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.5509999990463257,"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":0.5509999990463257,"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":0.4068000018596649,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.004800000227987766,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7631000280380249},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6049000024795532},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5271000266075134},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5120999813079834},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47850000858306885},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.46619999408721924},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4431999921798706}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7631000280380249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465000152587891},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6049000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666000247001648},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47850000858306885},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.46619999408721924},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.37229999899864197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3718000054359436},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.27570000290870667},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.27079999446868896},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2145049389","https://openalex.org/W2146395539","https://openalex.org/W2315954324","https://openalex.org/W2940905915","https://openalex.org/W2997214666","https://openalex.org/W3021895009","https://openalex.org/W3037080794","https://openalex.org/W3174523598","https://openalex.org/W4226096214","https://openalex.org/W4295788782","https://openalex.org/W4394625504"],"related_works":[],"abstract_inverted_index":{"In":[0,34,163],"video":[1,50,189],"coding,":[2],"large":[3],"quality":[4,13,32,47,59,68,76,180,210,219],"fluctuations":[5],"exist":[6],"in":[7,19,49,84,215],"compressed":[8,170],"videos,":[9],"significantly":[10],"degrading":[11],"their":[12],"of":[14,58,95,118,126,131,138,160,186],"experience":[15],"(QoE).":[16],"Most":[17],"works":[18],"literature":[20],"focus":[21],"on":[22,29,144,157,183,208],"controlling":[23,65],"bit-rates,":[24],"however,":[25],"paying":[26],"few":[27],"attention":[28],"reducing":[30,70],"the":[31,56,66,75,86,93,105,110,124,129,136,158,166,184,193,205],"fluctuations.":[33,71],"this":[35,164],"paper,":[36],"we":[37,53,73,108],"propose":[38,55],"a":[39,81],"novel":[40],"deep":[41],"reinforcement":[42],"learning":[43],"(DRL)":[44],"method":[45,182,203],"for":[46,104,155],"control":[48,77,181,211,220],"coding.":[51],"Specifically,":[52,103],"first":[54],"formulation":[57,78],"control,":[60],"which":[61,85],"targets":[62],"at":[63],"both":[64,96,209],"target":[67],"and":[69,99,115,128,173,197,213],"Then,":[72],"solve":[74],"by":[79,91],"proposing":[80],"DRL":[82,87,106,153],"method,":[83],"elements":[88],"are":[89],"modeled":[90],"considering":[92],"features":[94,117],"current":[97],"frame":[98],"previous":[100],"encoded":[101],"frames.":[102],"elements,":[107],"take":[109],"encoding":[111],"information,":[112],"content":[113],"complexity":[114],"hidden":[116],"long":[119],"short-term":[120],"memory":[121],"(LSTM)":[122],"as":[123,135],"state":[125],"DRL,":[127],"selection":[130],"quantization":[132],"parameters":[133],"(QP)":[134],"action":[137],"DRL.":[139],"Subsequently,":[140],"an":[141],"algorithm,":[142],"based":[143],"proximal":[145],"policy":[146],"optimization,":[147],"is":[148],"utilized":[149],"to":[150],"update":[151],"our":[152,178,202],"model":[154],"decision-making":[156],"actions":[159],"QP":[161],"selection.":[162],"way,":[165],"videos":[167],"can":[168],"be":[169],"under":[171],"given":[172],"constant":[174],"quality.":[175],"We":[176],"implement":[177],"DRL-based":[179],"standard":[185],"high":[187],"efficiency":[188],"coding":[190],"(HEVC)":[191],"with":[192,217],"HM":[194],"16.15":[195],"platform,":[196],"experimental":[198],"results":[199],"show":[200],"that":[201],"achieves":[204],"state-of-the-art":[206],"performance":[207],"accuracy":[212],"fluctuations,":[214],"comparison":[216],"other":[218],"baselines.":[221]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}
