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Author: 莊子德
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: 莊子德
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Liang-Gee Chen
Publisher: Springer
ISBN: 9781441961440
Category : Technology & Engineering
Languages : en
Pages : 250
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Book Description
This book addresses the algorithm analysis and VLSI architecture of video encoders, especially for high definition and scalable video coder. The three design challenges and related system issues of memory bandwidth (including system memory and internal memory), hardware area, and power consumption (required operating frequency) are all discussed. With the high definition encoder, the authors focus on algorithm modification and design parallelism to provide high processing capability for the video encoder. Several corresponding hardware schedules are also included to cooperate with proposed architecture. For scalable video coding, the emphasis is placed not only on video algorithms, but also on hardware performance. The algorithm modification, data reuse schemes from frame-level to candidates-level, and architecture design contribute in the developing of three scalabilities and first MCTF hardware design. Finally, the first SVC encoder chip for HDTV1080p is presented and all above design issues are considered together.
Author: Youn-Long Steve Lin
Publisher: Springer Science & Business Media
ISBN: 1441909591
Category : Technology & Engineering
Languages : en
Pages : 181
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Book Description
High definition video requires substantial compression in order to be transmitted or stored economically. Advances in video coding standards from MPEG-1, MPEG-2, MPEG-4 to H.264/AVC have provided ever increasing coding efficiency, at the expense of great computational complexity which can only be delivered through massively parallel processing. This book will present VLSI architectural design and chip implementation for high definition H.264/AVC video encoding, using a state-of-the-art video application, with complete VLSI prototype, via FPGA/ASIC. It will serve as an invaluable reference for anyone interested in VLSI design and high-level (EDA) synthesis for video.
Author: Chen Liang-gee
Publisher: World Scientific
ISBN: 1911299263
Category :
Languages : en
Pages : 300
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Book Description
Discrete wavelet transforms (DWTs) have led the revolutions in image and video coding systems over the past decade. In this book, the DWT is presented from the VLSI design perspective, and the related theories, algorithms, and architectures are discussed for 1D, 2D, and 3D DWT.The book provides a comprehensive analysis and discussion of DWTs and their applications including important materials and the newest developments in wavelet processing. For example, the architecture designs of 2D DWT in JPEG 2000 and the development of motion-compensated temporal filtering (MCTF) are explored./a
Author: Vivienne Sze
Publisher: Springer
ISBN: 3319068954
Category : Technology & Engineering
Languages : en
Pages : 384
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Book Description
This book provides developers, engineers, researchers and students with detailed knowledge about the High Efficiency Video Coding (HEVC) standard. HEVC is the successor to the widely successful H.264/AVC video compression standard, and it provides around twice as much compression as H.264/AVC for the same level of quality. The applications for HEVC will not only cover the space of the well-known current uses and capabilities of digital video – they will also include the deployment of new services and the delivery of enhanced video quality, such as ultra-high-definition television (UHDTV) and video with higher dynamic range, wider range of representable color, and greater representation precision than what is typically found today. HEVC is the next major generation of video coding design – a flexible, reliable and robust solution that will support the next decade of video applications and ease the burden of video on world-wide network traffic. This book provides a detailed explanation of the various parts of the standard, insight into how it was developed, and in-depth discussion of algorithms and architectures for its implementation.
Author: Maurizio Martina
Publisher: Institution of Engineering and Technology
ISBN: 1785617109
Category : Technology & Engineering
Languages : en
Pages : 385
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Book Description
This book addresses future video coding from the perspective of hardware implementation and architecture design, with particular focus on approximate computing and the energy-quality scalability paradigm. Challenges in deploying VLSI architectures for video coding are identified and potential solutions postulated with reference to recent research in the field. The book offers systematic coverage of the designs, techniques and paradigms that will most likely be exploited in the design of VLSI architectures for future video coding systems. Written by a team of expert authors from around the world, and brought together by an editor who is a recognised authority in the field, this book is a useful resource for academics and industry professionals working on VLSI implementation of video codecs.
Author: Ochoa Dominguez, Humberto
Publisher: River Publishers
ISBN: 8770220476
Category : Technology & Engineering
Languages : en
Pages : 460
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Book Description
Video is the main driver of bandwidth use, accounting for over 80 per cent of consumer Internet traffic. Video compression is a critical component of many of the available multimedia applications, it is necessary for storage or transmission of digital video over today’s band-limited networks. The majority of this video is coded using international standards developed in collaboration with ITU-T Study Group and MPEG. The MPEG family of video coding standards begun on the early 1990s with MPEG-1, developed for video and audio storage on CD-ROMs, with support for progressive video. MPEG-2 was standardized in 1995 for applications of video on DVD, standard and high definition television, with support for interlaced and progressive video. MPEG-4 part 2, also known as MPEG-2 video, was standardized in 1999 for applications of low- bit rate multimedia on mobile platforms and the Internet, with the support of object-based or content based coding by modeling the scene as background and foreground. Since MPEG-1, the main video coding standards were based on the so-called macroblocks. However, research groups continued the work beyond the traditional video coding architectures and found that macroblocks could limit the performance of the compression when using high-resolution video. Therefore, in 2013 the high efficiency video coding (HEVC) also known and H.265, was released, with a structure similar to H.264/AVC but using coding units with more flexible partitions than the traditional macroblocks. HEVC has greater flexibility in prediction modes and transform block sizes, also it has a more sophisticated interpolation and de blocking filters. In 2006 the VC-1 was released. VC-1 is a video codec implemented by Microsoft and the Microsoft Windows Media Video (VMW) 9 and standardized by the Society of Motion Picture and Television Engineers (SMPTE). In 2017 the Joint Video Experts Team (JVET) released a call for proposals for a new video coding standard initially called Beyond the HEVC, Future Video Coding (FVC) or known as Versatile Video Coding (VVC). VVC is being built on top of HEVC for application on Standard Dynamic Range (SDR), High Dynamic Range (HDR) and 360° Video. The VVC is planned to be finalized by 2020. This book presents the new VVC, and updates on the HEVC. The book discusses the advances in lossless coding and covers the topic of screen content coding. Technical topics discussed include: Beyond the High Efficiency Video CodingHigh Efficiency Video Coding encoderScreen contentLossless and visually lossless coding algorithmsFast coding algorithmsVisual quality assessmentOther screen content coding algorithmsOverview of JPEG Series
Author: Xiaohua Tian
Publisher: Springer Science & Business Media
ISBN: 3642147038
Category : Technology & Engineering
Languages : en
Pages : 193
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Book Description
This book presents a collection of algorithms and VLSI architectures of entropy (or statistical) codecs of recent video compression standards, with focus on the H.264/AVC standard. For any visual data compression scheme, there exists a combination of two, or all of the following three stages: spatial, temporal, and statistical compression. General readers are first introduced with the various algorithms of the statistical coders. The VLSI implementations are also reviewed and discussed. Readers with limited hardware design background are also introduced with a design methodology starting from performance-complexity analyses to software/hardware co-simulation. A typical design of the Contextbased Adaptive Binary Arithmetic Coding (CABAC) encoder is also presented in details. To support System-on-Chip design environment, the CABAC design is wrapped with a SoC-based Wishbone system bus interface.
Author: Rashad M. Jillani
Publisher:
ISBN:
Category : Digital video
Languages : en
Pages : 208
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Book Description
The emerging Scalable Video Coding (SVC) extends the H.264/AVC video coding standard with new tools designed to efficiently support temporal, spatial and SNR scalability. In real-time multimedia systems, the coding performance of video encoders and decoders is limited by computational complexity. This thesis presents techniques to manage computational complexity of H.264/AVC and SVC video encoders. These techniques aim to provide significant complexity saving as well as a framework for efficient use of SVC. This thesis first investigates, experimentally, the computational complexity of MB coding mode decision in H.264/AVC video encoder. Based on machine learning techniques, complexity reduction algorithms are proposed. It is shown that these algorithms can reduce the computational complexity of Intra MB coding with negligible loss of video quality. Complexity reduction algorithms based on statistical classifiers are proposed for SVC encoder. It is shown that these algorithms can flexibly control the computational complexity in enhancement layers of SVC with negligible loss of video quality. The inherent relationship of MB mode decision in base and enhancement layers of SVC is investigated through experimental tests and a rate model function is proposed. An innovative fast mode decision model is developed to reduce the computational complexity by using the layer relationship along with the rate model function. We develop a general framework that applies to SVC and use this framework to adapt SVC bitstream by employing the low-complexity video encoding along with the input of video streaming constraints in order to adapt the bitstream. The proposed SVC based framework uses both objective low-complexity video encoding techniques and subjective saliency based video adaptation resulting in optimal use of network bandwidth. The approaches described in this thesis can not only reduce computational complexity of a video encoder, but also can manage the trade-off between complexity and distortion. These proposed algorithms are evaluated in terms of complexity reduction performance, rate-distortion performance and subjective and objective visual quality by experimental testing. The advantages and disadvantages of each algorithm are discussed.
Author: Javier Del Ser Lorente
Publisher: BoD – Books on Demand
ISBN: 9533071818
Category : Computers
Languages : en
Pages : 414
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Book Description
This book is intended to attract the attention of practitioners and researchers from industry and academia interested in challenging paradigms of multimedia video coding, with an emphasis on recent technical developments, cross-disciplinary tools and implementations. Given its instructional purpose, the book also overviews recently published video coding standards such as H.264/AVC and SVC from a simulational standpoint. Novel rate control schemes and cross-disciplinary tools for the optimization of diverse aspects related to video coding are also addressed in detail, along with implementation architectures specially tailored for video processing and encoding. The book concludes by exposing new advances in semantic video coding. In summary: this book serves as a technically sounding start point for early-stage researchers and developers willing to join leading-edge research on video coding, processing and multimedia transmission.
