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H.264中CAVLC解码的分组优化 Title:GroupOptimizationinCAVLCDecodingforH.264 Abstract: H.264,alsoknownasAdvancedVideoCoding(AVC),isoneofthemostwidelyusedvideocompressionstandards.Itoffershighervideoqualityandbettercompressionefficiencycomparedtopreviousvideocodingstandards.H.264adoptsContext-AdaptiveVariableLengthCoding(CAVLC)forentropycoding,whichplaysacrucialroleinachievinghighcompressionperformance.ThispaperfocusesonthegroupoptimizationtechniqueinCAVLCdecodingforH.264.WediscussthechallengesassociatedwithCAVLCdecodingandexplorevariousapproachestooptimizethedecodingprocess,whichincludesgroupingandparallelprocessingtechniques.Experimentalresultsdemonstratetheeffectivenessandefficiencyoftheproposedoptimizationsinreducingdecodingtimeandenhancingoverallvideodecodingperformance. 1.Introduction Videocompressionisessentialforefficientstorageandtransmissionofmultimediacontent.H.264isawidelyadoptedvideocodingstandardthatoffersimprovedcompressionefficiencyandenhancedvideoquality.OneofthecrucialcomponentsofH.264istheentropycodingtechnique,whichassignsshorterlengthcodestomorefrequentlyoccurringsymbols,reducingtheoveralldatasizerequiredforrepresentation.CAVLCisanadvancedentropycodingtechniqueusedinH.264torepresentthecoefficientsquantizedinthetransformstage. 2.CAVLCDecodingOverview CAVLCisahighlyefficiententropycodingtechniquethatexploitsthespatialcorrelationexistinginvideodata.Itdividesthemacroblocksintosmallerblocks,suchas4x4,togroupthecoefficientsofsimilarsignificancelevelstogether.Eachblockisthentransformedintoaone-dimensionalarraythatrepresentstheorderingofsignificantcoefficients.CAVLCcombinesrun-levelcoding(RLC)andvariablelengthcoding(VLC)toencodethesecoefficients.DecodingCAVLCinvolvesinverseoperationstorecoverthevalueandpositionofeachcoefficient. 3.ChallengesinCAVLCDecoding AlthoughCAVLCofferseffectiveentropycoding,decodingitcanbeacomputationallyintensivetask.Thesequentialnatureofthedecodingprocesscreatesdependenciesbetweenneighboringcoefficients,limitingparalleldecodingcapability.A

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