Joint Draft ITU-T Rec. H.264 | ISO/IEC 14496-10 / Amd.3 scalable video coding JVT制定的H.264SVC擴(kuò)展的建議標(biāo)準(zhǔn)
標(biāo)簽： 264 scalable coding Joint
上傳時(shí)間： 2013-12-06
上傳用戶(hù)：電子世界
渲染可伸縮矢量圖形(scalable Vector Graphics，SVG)的函數(shù)
標(biāo)簽： scalable Graphics Vector 可伸縮
上傳時(shí)間： 2013-12-25
上傳用戶(hù)：stampede
Real-Time Design Patterns: Robust scalable Architecture for Real-Time Systems. In this book, Bruce Douglass illustrates for the first time how two important contemporary software engineering advances鈥攑atterns and the UML鈥攃an be applied advantageously to the concepts and techniques traditionally used in mainstream real-time software.
標(biāo)簽： Real-Time Architecture Patterns scalable
上傳時(shí)間： 2013-12-13
上傳用戶(hù)：6546544
流媒體 scalable Video Coding 可分級(jí)視頻編碼 會(huì)議論文 清華大學(xué)課程指定閱讀文獻(xiàn)
標(biāo)簽： scalable Coding Video 流媒體
上傳時(shí)間： 2014-01-25
上傳用戶(hù)：363186
A scalable Counterflow-Pipelined Asynchronous Radix-4 Booth Multiplier
標(biāo)簽： Counterflow-Pipelined Asynchronous Multiplier scalable
上傳時(shí)間： 2014-01-04
上傳用戶(hù)：jjj0202
摘要 本研究計(jì)劃之目的，在整合應(yīng)用以ARM為基礎(chǔ)的嵌入式多媒體實(shí)時(shí)操作系統(tǒng)于H.264/MPEG-4多媒體上。由于H.264是一種因應(yīng)實(shí)時(shí)系統(tǒng)(RTOS)所設(shè)計(jì)的可擴(kuò)展性串流傳輸(scalability stream media communication)的編碼技術(shù)。H.264主要架構(gòu)于細(xì)細(xì)粒可擴(kuò)展(Fine Granula Scalability,FGS)的壓縮編碼機(jī)制。細(xì)粒度可擴(kuò)展壓縮編碼技術(shù)是最新MPEG-4串流式傳輸標(biāo)準(zhǔn)，能依頻寛的差異來(lái)調(diào)整傳輸?shù)姆绞健＜?xì)粒度擴(kuò)展縮編碼技術(shù)以編入可選擇性的增強(qiáng)層(enhanced layers)于碼中，來(lái)提高影像傳輸?shù)馁|(zhì)量。本計(jì)劃主要在于設(shè)計(jì)一種簡(jiǎn)單有效的實(shí)時(shí)階層可擴(kuò)展的影像傳輸系統(tǒng)。在增強(qiáng)層編碼及H.264的基本層(base layer)編碼上使用漸進(jìn)的細(xì)粒度可擴(kuò)展編碼(Progressive Fine Granularity scalable,PFGS)能直接使用H.264的格式特色來(lái)實(shí)現(xiàn)FGS。同時(shí)加入了LB-LLF(Layer-Based Least-Laxity-Fir stscheduling algorithm)的排程算法，來(lái)增 進(jìn)網(wǎng)路傳輸影像的質(zhì)量。由實(shí)驗(yàn)結(jié)果顯示本系統(tǒng)在串流影像質(zhì)量PSNR值上確有較佳的效能。
標(biāo)簽： 芯片系統(tǒng) 架構(gòu) 開(kāi)發(fā)平臺(tái)
上傳時(shí)間： 2014-12-26
上傳用戶(hù)：mpquest
This the specification of the Enterprise JavaBeansTM architecture.The Enterprise JavaBeans architecture is a component architecture for the development and deployment of componentbased distributed business applications. Applications written using the Enterprise JavaBeans architecture are scalable, transactional, and multi-user secure. These applications may be written once, and then deployed on any server platform that supports the Enterprise JavaBeans specification.
標(biāo)簽： Enterprise specification architecture JavaBeansTM
上傳時(shí)間： 2013-12-01
上傳用戶(hù)：牛津鞋
Application & Integration Services are at the heart of any Service Oriented Architecture (SOA). Sun Java System Application Server and integration services provide a highly scalable and reliable platform for the standards-based deployment of Java applications and web services. Sun s offerings may be used by small organizations and large enterprises that require a services-based foundation to rapidly unlock the business value of their IT investment.
標(biāo)簽： Architecture Application Integration Services
上傳時(shí)間： 2014-12-20
上傳用戶(hù)：lanwei
OReilly.Ajax.on.Rails.Dec.2006. ISBN-10: 0-596-52744-6. Learn to build dynamic, interactive web applications using the two most important approaches to web development today: Ajax and the phenomenally efficient Ruby on Rails platform. This book teaches intermediate to advanced web developers how to use both Ajax and Rails to quickly build high-performance, scalable applications without being overwhelmed with thousands of lines of JavaScript code. More than just recipes, you also get a thorough, low-level understanding of what s happening under the hood.
標(biāo)簽： interactive OReilly dynamic 52744
上傳時(shí)間： 2015-10-07
上傳用戶(hù)：獨(dú)孤求源
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic method of increasing the height-to-width ratio of the cluster histogram, we develop a novel algorithm – CLOPE, which is very fast and scalable, while being quite effective. We demonstrate the performance of our algorithm on two real world
標(biāo)簽： data transactional categorical clustering
上傳時(shí)間： 2015-10-24
上傳用戶(hù)：evil
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