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多视点视频编码的码率控制优化算法(英文).docx

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多视点视频编码的码率控制优化算法(英文) Title:RateControlOptimizationAlgorithmforMulti-ViewVideoCoding Abstract: Theemergenceofmulti-viewvideotechnologyhasprovidedimmersiveandinteractivevisualexperiencesforusers.However,encodingmulti-viewvideosefficientlywithhighcompressionratiosandmaintainingconsistentvideoqualityremainsasignificantchallenge.Acrucialcomponentinvideocodingistheratecontrolalgorithm,whichaimstoallocatetheavailablebitbudgetoptimallyamongdifferentviewstoachievedesirablevideoquality.Thispaperpresentsacomprehensivestudyonratecontroloptimizationalgorithmsformulti-viewvideocoding(MVC),exploringvarioustechniquesandapproachestoimprovebitallocationandoverallencodingefficiency. 1.Introduction Therapidgrowthofvirtualreality,3Dtelevision,andotherinteractivemultimediaapplicationshasincreasedthedemandformulti-viewvideocoding.MVCencodesmultiplevideoviewssimultaneously,capturingthesamescenefromdifferentperspectives,whichenhancestheuserexperience.Ratecontrolplaysapivotalroleinoptimizingmulti-viewvideoencoding,asitdeterminesthebitallocationandqualityofeachencodedview. 2.RelatedWork Thissectionreviewsexistingratecontrolapproachesandalgorithmsformulti-viewvideocoding.Variousstrategies,suchasconstantbitrate(CBR),variablebitrate(VBR),andadaptiveratecontrolmethods,arediscussed,highlightingtheirstrengthsandlimitations. 3.ProposedRateControlOptimizationAlgorithm Thissectionintroducesanovelratecontroloptimizationalgorithmformulti-viewvideocoding.Thealgorithmaimstoimprovetheencodingefficiencybydynamicallyallocatingbitsamongdifferentviewsbasedontheircomplexityandimportance.Thefollowingstepsareaccomplished: -Initialbitallocationestimationforeachviewbasedontheirimportancefactors. -Sequentialencodingandcomplexityanalysisofviews. -Dynamicbitreallocationbasedoncomplexityfeedbackandqualityconstraints. -Rate-distortionoptimizationforframecodingmodes,predictionmodes,andquantizationparameters. 4.ExperimentalResultsandAnalysis Experimentalevaluationsareconductedtoassesstheperformanceoftheproposedratecontrol