简介:录像加速器在分享象YouTube那样的网站的录像为更好的用户经验被开发。PPLive录像加速器(PPVA)在中国有用户的最大的数字,基于对等(P2P)系统。在PPVA的录像和同伴的数字由比哪个多次大的数量级在需求(VoD)上的传统的P2P录像系统。作为结果,尽管资源是足够的,由于不公平赋值,服务的质量几乎不能满足所有用户。在这份报纸,我们在PPVA专注于基本资源的任务:存储和带宽。存储赋值的问题作为一个随机的变量关于请求的数字作为一个非线性的程序(NLP)被提出。当平均数比变化大得多时,请求的变化的影响不是可以忽略、比例的途径的结果表演仅仅是适当的。关于怎么定位录像到适当同伴的标准也被介绍,考虑抑制例如全部的带宽,带宽竞争的概率和在录像之间的公平的利用。而且,分配的启发式的算法以集中、分布式的时尚上载带宽被建议并且在录像之中关于平衡与广泛地使用的策略(相等的分配)作比较。模拟结果证明两个算法能导致重要表演改进。
简介:UsingvideofilmscanbeaveryeffectivewayofteachingandlearningEnglishonlywhenthefilmsareproperlyselectedandsomeactivitiesareorganizedaroundthem.Thispaperoffersthecriteriaforchoosingfilmsandsuggestssomeactivitiesforavarietyoflanguageteachingpurposes.AsvideounitsandvideofilmsinEnglisharenowmoreeasilyavailable,theuseofvideofilmshasbecomeanincreasinglyimportantcomponentofteachingEnglishasaforeignlanguage.HereIusetheterm"videofilm"inaloosesensetomean"featurefilmonvideo".Inrecentyears,textbookshaveappearedinChina,suchasEnglishThroughFilms(WuQing,YangLimin1993)andEnglishandAmericanFilms
简介:Sportsvideoappealstolargeaudiencesduetoitshighcommercialpotentials.Automaticallyextractingusefulsemanticinformationandgeneratinghighlightsummaryfromsportsvideotofacilitateusers'accessingrequirementsisanimportantproblem,especiallyintheforthcomingbroadbandmobilecommunicationandtheneedforuserstoaccesstheirmultimediainformationofinterestfromanywhereatanytimewiththeirmostconvenientdigitalequipments.Inthispaper,asystemtogeneratehighlightsummariesorientedformobileapplicationsisintroduced,whichincludeshighlightextractionandvideoadaptation.Inthissystem,severalhighlightextractiontechniquesareprovidedforfieldsportsvideoandracketsportsvideobyusingmulti-modalinformation.Toenhanceusers'viewingexperienceandsavebandwidth,3Danimationfromhighlightsegmentisalsogenerated.Asanimportantproceduretomakevideoanalysisresultsuniversallyapplicable,videotranscodingtechniquesareappliedtoadaptthevideoformobilecommunicationenvironmentanduserpreference.Experimentalresultsareencouragingandshowtheadvantageandfeasibilityofthesystemformultimediacontentpersonalization,enhancementandadaptationtomeetdifferentuserpreferenceandnetwork/devicerequirements.
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简介:一条特征熔化途径被介绍从实体镜的录像提取兴趣(ROI)的区域。[0]把视觉基于人系统(HVS),深度特征,颜色特征和运动特征被选择为视觉特征。[0]算法如下被显示出。第一,颜色显著在superpixel规模上被计算。在superpixel和背景象素之间的superpixel和颜色差别的颜色空间分发被用来描述颜色显著和颜色突出的区域被检测。然后,经典视觉背景抽出者(Vibe)算法从更改间隔和背景模型的更改区域被改进。更改间隔根据图象内容被调整。更改区域通过非明显的运动区域和背景点察觉被决定。实体镜的录像的运动区域因此用改进Vibe算法被提取。深度突出的区域被与最高灰色的价值选择这个区域检测。最后,三个区域被熔化进最后的ROI。实验结果证明建议方法能有效地从实体镜的录像提取ROI。为了推进,验证建议方法,实体镜的录像编码申请也在联合模型(JM)上被执行有在ROI和背景区域的不同的位分配的编码器。
简介:Aprincipalchallengeinsupportingreal-timevideoservicesoverATMistheneedtoprovidesynchronousplay-outinthefaceofstochasticend-to-endnetworkdelays.Inthispaper,anintelligenttrafficsmoothmechanism(ITAM)isproposedtomeetthecontinuityrequirementwhichiscomposedofaback-propagationneuralnetwork(BPNN)trafficpredictoraplay-outbuffer,andafuzzyneuralnetwork(FNN)basedplay-outratedeterminator.TheBPNNtrafficpredictoronlinepredictsthemeanpacketrateofthetrafficinthefutureinterval(FI)andtheFNNisdesignedtoadaptivelydeterminatetheplay-outtimeaccordingtothenumberofpacketsinthebufferandthetrafficcharacterpredicted.Simulationresultsshothatcomparedtothewindowmechanism,ITSMachieveshighcontinuitywithaccepteddelay.Furthermore,ITSMcanbeadaptivelymodifiedtomeettheQoSofdifferentkindsofservicesbyFNNparametertraining.
简介:Thecoreideaofphysicalliteracyisamind-bodyintegrated,holisticapproachtophysicalactivity.Aphysicallyliterateindividualisexpectedtobecognitivelyknowledgeable,physicallycompetent,andmentallymotivatedforaphysicallyactivelifethroughoutthelifespan.Theadvancementoftechnologyinrecentyears,especiallythoseinactivevideogames(AVGs),seemstohaveallowedthemind-bodyintegratedphysicalactivityaccessibletochildrenatallages.ThisarticlereviewsfindingsfromresearchandcritiqueresearchonAVGsinlightwiththetheoreticalandpedagogicaltenetsofphysicalliteracyand,onthebasisofthereview,elaboratesthepotentialthatAVGscouldcontributetoenhancingchildren'sphysicalliteracy.