{"id":"https://openalex.org/W7128374439","doi":"https://doi.org/10.48550/arxiv.2602.06242","title":"Content-Driven Frame-Level Bit Prediction for Rate Control in Versatile Video Coding","display_name":"Content-Driven Frame-Level Bit Prediction for Rate Control in Versatile Video Coding","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7128374439","doi":"https://doi.org/10.48550/arxiv.2602.06242"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.06242","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125389401","display_name":"Amritha Premkumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Premkumar, Amritha","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125423470","display_name":"Prajit T Rajendran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajendran, Prajit T","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091049711","display_name":"Vignesh V Menon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Menon, Vignesh V","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125414776","display_name":"Christian Herglotz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herglotz, Christian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5125389401"],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.8069999814033508,"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":0.8069999814033508,"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":0.1200999990105629,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.019999999552965164,"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/bit-rate","display_name":"Bit rate","score":0.5339999794960022},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.5062000155448914},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.49079999327659607},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.48559999465942383},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.44850000739097595},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4368000030517578},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.42649999260902405},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4068000018596649}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394999861717224},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.5339999794960022},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.5062000155448914},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48559999465942383},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.44850000739097595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44440001249313354},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4368000030517578},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4268999993801117},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.37720000743865967},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.34549999237060547},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.31189998984336853},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.30250000953674316},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.25270000100135803},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.06242","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.06242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.06242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.06242","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Rate":[0],"control":[1,18],"allocates":[2],"bits":[3],"efficiently":[4],"across":[5],"frames":[6],"to":[7,33,45,115,138],"meet":[8],"a":[9,52,73,107,132],"target":[10],"bitrate":[11],"while":[12,117],"maintaining":[13],"quality.":[14],"Conventional":[15],"two-pass":[16],"rate":[17],"(2pRC)":[19],"in":[20],"Versatile":[21],"Video":[22,65],"Coding":[23],"(VVC)":[24],"relies":[25],"on":[26],"analytical":[27],"rate-QP":[28,140],"models,":[29],"which":[30],"often":[31],"fail":[32],"capture":[34],"nonlinear":[35],"spatial-temporal":[36],"variations,":[37],"causing":[38],"quality":[39],"instability":[40],"and":[41,69,97,102,135],"high":[42],"complexity":[43],"due":[44],"multiple":[46],"trial":[47],"encodes.":[48],"This":[49],"paper":[50],"proposes":[51],"content-adaptive":[53],"framework":[54],"that":[55,127],"predicts":[56],"frame-level":[57],"bit":[58,129],"consumption":[59],"using":[60],"lightweight":[61],"features":[62],"from":[63],"the":[64,83],"Complexity":[66],"Analyzer":[67],"(VCA)":[68],"quantization":[70],"parameters":[71],"within":[72],"Random":[74],"Forest":[75],"regression.":[76],"On":[77],"ultra-high-definition":[78],"sequences":[79],"encoded":[80],"with":[81,88],"VVenC,":[82],"model":[84],"achieves":[85,111],"strong":[86],"correlation":[87],"ground":[89],"truth,":[90],"yielding":[91],"R2":[92],"values":[93],"of":[94],"0.93,":[95],"0.88,":[96],"0.77":[98],"for":[99],"I-,":[100],"P-,":[101],"B-frames,":[103],"respectively.":[104],"Integrated":[105],"into":[106],"rate-control":[108],"loop,":[109],"it":[110],"comparable":[112],"coding":[113],"efficiency":[114],"2pRC":[116],"reducing":[118],"total":[119],"encoding":[120],"time":[121],"by":[122],"33.3%.":[123],"The":[124],"results":[125],"show":[126],"VCA-driven":[128],"prediction":[130],"provides":[131],"computationally":[133],"efficient":[134],"accurate":[136],"alternative":[137],"conventional":[139],"models.":[141]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-10T00:00:00"}