Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Rate Distortion Complexity Optimization Of Video Encoders With Applications To Sign Language Video Compression
Download Rate Distortion Complexity Optimization Of Video Encoders With Applications To Sign Language Video Compression full books in PDF, epub, and Kindle. Read online Rate Distortion Complexity Optimization Of Video Encoders With Applications To Sign Language Video Compression ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Rate-distortion-complexity Optimization of Video Encoders with Applications to Sign Language Video Compression by : Rahul Vanam
Download or read book Rate-distortion-complexity Optimization of Video Encoders with Applications to Sign Language Video Compression written by Rahul Vanam and published by . This book was released on 2010 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Power and Distortion Optimized Video Coding for Pervasive Computing Applications by : Yongfang Liang
Download or read book Power and Distortion Optimized Video Coding for Pervasive Computing Applications written by Yongfang Liang and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation investigates video encoding schemes for pervasive computing applications that must ensure low power consumption in addition to high compression efficiency. The contribution of the dissertation is the formulation of a theoretical problem that captures the joint optimization of power and distortion in video coding. The study of the complexity distribution of typical video encoders helps to develop a complexity-scalable video encoding architecture that includes several control parameters to adjust the power consumption of the major modules of the encoder. An analytic framework to model, control and optimize the power-rate-distortion is developed, which facilitates the development of optimization schemes to determine the best configuration of the complexity control parameters according to either or both the power supply level of the device and the video presentation quality. The dissertation proposes complexity control schemes that dynamically adjust the control parameters. Using extensive simulations on an instruction set simulator, the accuracy of the model, and quality of the optimization schemes are investigated. For additional performance improvement, we propose algorithms that exploit the video content to reduce the power consumption and improve the video quality. This is done by obtaining and maintaining the "motion history" of a video sequence in a hierarchical fashion. By adaptively adjusting the complexity parameters according to the motion history information gained from the video sequence, the power is saved when the scene has little motion and consumed when the motion activity increases. Extensive experiments have been performed to show the validity and merits of the proposed techniques.
Book Synopsis Rate-Quality Optimized Video Coding by : Yoo-Sok Saw
Download or read book Rate-Quality Optimized Video Coding written by Yoo-Sok Saw and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rate-Quality Optimized Video Coding discusses the matter of optimizing (or negotiating) the data rate of compressed digital video and its quality, which has been a relatively neglected topic in either side of image/video coding and tele-traffic management. Video rate management becomes a technically challenging task since it is required to maintain a certain video quality regardless of the availability of transmission or storage media. This is caused by the broadband nature of digital video and inherent algorithmic features of mainstream video compression schemes, e.g. H.261, H.263 and MPEG series. In order to maximize the media utilization and to enhance video quality, the data rate of compressed video should be regulated within a budget of available media resources while maintaining the video quality as high as possible. In Part I (Chapters 1 to 4) the non-stationarity of digital video is discussed. Since the non-stationary nature is also inherited from algorithmic properties of international video coding standards, which are a combination of statistical coding techniques, the video rate management techniques of these standards are explored. Although there is a series of known video rate control techniques, such as picture rate variation, frame dropping, etc., these techniques do not view the matter as an optimization between rate and quality. From the view of rate-quality optimization, the quantizer is the sole means of controling rate and quality. Thus, quantizers and quantizer control techniques are analyzed, based on the relationship of rate and quality. In Part II (Chapters 5 and 6), as a coherent approach to non-stationary video, established but still thriving nonlinear techniques are applied to video rate-quality optimization such as artificial neural networks including radical basis function networks, and fuzzy logic-based schemes. Conventional linear techniques are also described before the nonlinear techniques are explored. By using these nonlinear techniques, it is shown how they influence and tackle the rate-quality optimization problem. Finally, in Chapter 7 rate-quality optimization issues are reviewed in emerging video communication applications such as video transcoding and mobile video. This chapter discusses some new issues and prospects of rate and quality control in those technology areas. Rate-Quality Optimized Video Coding is an excellent reference and can be used for advanced courses on the topic.
Book Synopsis Rate-Distortion Based Video Compression by : Guido M. Schuster
Download or read book Rate-Distortion Based Video Compression written by Guido M. Schuster and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most intriguing problems in video processing is the removal of the redundancy or the compression of a video signal. There are a large number of applications which depend on video compression. Data compression represents the enabling technology behind the multimedia and digital television revolution. In motion compensated lossy video compression the original video sequence is first split into three new sources of information, segmentation, motion and residual error. These three information sources are then quantized, leading to a reduced rate for their representation but also to a distorted reconstructed video sequence. After the decomposition of the original source into segmentation, mo tion and residual error information is decided, the key remaining problem is the allocation of the available bits into these three sources of information. In this monograph a theory is developed which provides a solution to this fundamental bit allocation problem. It can be applied to all quad-tree-based motion com pensated video coders which use a first order differential pulse code modulation (DPCM) scheme for the encoding of the displacement vector field (DVF) and a block-based transform scheme for the encoding of the displaced frame differ ence (DFD). An optimal motion estimator which results in the smallest DFD energy for a given bit rate for the encoding of the DVF is also a result of this theory. Such a motion estimator is used to formulate a motion compensated interpolation scheme which incorporates a global smoothness constraint for the DVF.
Book Synopsis Versatile Video Coding by : Humberto Ochoa Dominguez
Download or read book Versatile Video Coding written by Humberto Ochoa Dominguez and published by CRC Press. This book was released on 2022-09-01 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Complexity Optimized Video Codecs by : Michael Krause
Download or read book Complexity Optimized Video Codecs written by Michael Krause and published by diplom.de. This book was released on 2005-11-16 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inhaltsangabe:Abstract: We are facing an increasing bandwidth in the mobile systems and this opens up for new applications in a mobile terminal. It will be possible to download, record, send and receive images and videosequences. Even if we have more bandwidth, images and video data must be compressed before it can be sent, because of the amount of information it contains. MPEG-4 and H.263 are standards for compression of video data. The problem is that encoding and decoding algorithms are computationally intensive and complexity increases with the size of the video. In mobile applications, processing capabilities such as memory space and calculation time are limited and optimized algorithms for decoding and encoding are necessary. The question is if it is possible to encode raw video data with low complexity. Single frames e.g. from a digital camera, can then be coded and transmitted as a video sequence. On the other hand, the decoder needs to be able to handle sequences with different resolution. Thus, decoder in new mobile terminals must decode higher resolution sequences with the same complexity as low resolution video requires. The work will involve literature studies of MPEG-4 and H.263. The goal is to investigate the possibility to encode video data with low complexity and to find a way for optimized downscaling of larger sequences in a decoder. The work should include - Literature studies of MPEG-4 and H.263. - Theoretical study how CIF sequences (352x288-pixel) can be downscaled to QCIF (176x144-pixel) size. - Finding of optimized algorithms for a low complexity encoder. - Implementation of such an encoder in a microprocessor, e.g. a DSP. - Complexity analysis of processing consumption. Prerequisite experience is fair C-programming, signalprocessing skills and basic knowledge in H.263 and MPEG-4 is useful. New mobile communication standards provide an increased bandwidth, which opens up for many new media applications and services in future mobile phones. Video recording using the MMS standard, video conferencing and downloading of movies from the Internet are some of those applications. Even if the data rate is high, video data needs to be compressed using international video compression standards such as MPEG-4 or H.263. Efficient video compression algorithms are the focus of this thesis. Very limited computational capabilities of the terminals require low complexity encoder and decoder. A low complexity encoder for usage with [...]
Book Synopsis Decode to Encode by : Avinash Ramachandran
Download or read book Decode to Encode written by Avinash Ramachandran and published by Avinash Ramachandran. This book was released on 2018-11-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video coding is complex. YouTube and Netflix use it to deliver great video even at extremely low data rates. Have you ever wondered how they optimize video for low bandwidths? Do technical terms like 'rate distortion optimization', 'predictive coding' or 'adaptive quantization' overwhelm you? Decode To Encode is the only book that answers the hows and whys of elements in AVC (H.264), HEVC (H.265) and VP9. It provides video engineers and students all the compression fundamentals they need to solve problems, conduct research and serve their customers better. Coming from an experienced video codec engineer and product enthusiast, the book is written in a clear language with numerous examples.You will learn about: - digital video fundamentals and the evolution of codecs;- spatial and temporal aspects leveraged to achieve compression in block-based video architecture;- intra and inter coding, GOPs, block partitioning, prediction, transforms, quantization, CABAC, in-loop filtering, rate-distortion optimization and rate control;- bitrate modes, performance metrics and comparisons;- emerging topics like per-title encoding, AV1, 360 Video and VR, and encoding with ML.Why be left behind in today's evolving video landscape? Get the tools you need to understand technical specifications and design video algorithms. Learn the concepts in this book and become a compression expert today. Exude confidence as you walk into your next meeting or start a conversation about video compression
Book Synopsis Low-complexity Mode Selection for Rate-distortion Optimal Video Coding by : Hyungjoon Kim
Download or read book Low-complexity Mode Selection for Rate-distortion Optimal Video Coding written by Hyungjoon Kim and published by . This book was released on 2007 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: In addition to our theoretical work, we present practical solutions to real-time implementation of encoder modules including our proposed mode selection method on digital signal processors. First, we investigate the features provided by most of the recent digital signal processors, for example, hierarchical memory structure and efficient data transfer between on-chip and off-chip memory, and then present practical approaches for real-time implementation of a video encoder system with efficient use of the features.
Book Synopsis Video Compression by : Amal Punchihewa
Download or read book Video Compression written by Amal Punchihewa and published by BoD – Books on Demand. This book was released on 2012-03-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even though video compression has become a mature field, a lot of research is still ongoing. Indeed, as the quality of the compressed video for a given size or bit rate increases, so does users’ level of expectations and their intolerance to artefacts. The development of compression technology has enabled number of applications; key applications in television broadcast field. Compression technology is the basis for digital television. The “Video Compression” book was written for scientists and development engineers. The aim of the book is to showcase the state of the art in the wider field of compression beyond encoder centric approach and to appreciate the need for video quality assurance. It covers compressive video coding, distributed video coding, motion estimation and video quality.
Book Synopsis Video Codec Design by : Iain E. Richardson
Download or read book Video Codec Design written by Iain E. Richardson and published by Wiley. This book was released on 2002-05-22 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Codec-Algorithmen werden zur Kodierung und Dekodierung (oder Komprimierung und Dekomprimierung) von Daten wie Videofilmen benutzt, ohne daß die visuelle Qualität des dekodierten Bildes beeinträchtigt wird. Bekannt sind zum Beispiel Codecs zur Konvertierung von analoger Videosignale in komprimierte Videodateien wie MPEG. Dieses Lehrbuch vermittelt Ihnen einen Überblick über einschlägige Standards und Technologien, der Schwerpunkt liegt auf Fragen des Designs. Einleuchtende qualitative und quantitative Vergleiche von Systemalternativen werden anhand von Fallstudien vorgenommen.
Book Synopsis Real-Time Video Compression by : Raymond Westwater
Download or read book Real-Time Video Compression written by Raymond Westwater and published by Springer. This book was released on 2007-08-28 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-Time Video Compression: Techniques and Algorithms introduces the XYZ video compression technique, which operates in three dimensions, eliminating the overhead of motion estimation. First, video compression standards, MPEG and H.261/H.263, are described. They both use asymmetric compression algorithms, based on motion estimation. Their encoders are much more complex than decoders. The XYZ technique uses a symmetric algorithm, based on the Three-Dimensional Discrete Cosine Transform (3D-DCT). 3D-DCT was originally suggested for compression about twenty years ago; however, at that time the computational complexity of the algorithm was too high, it required large buffer memory, and was not as effective as motion estimation. We have resurrected the 3D-DCT-based video compression algorithm by developing several enhancements to the original algorithm. These enhancements make the algorithm feasible for real-time video compression in applications such as video-on-demand, interactive multimedia, and videoconferencing. The demonstrated results, presented in this book, suggest that the XYZ video compression technique is not only a fast algorithm, but also provides superior compression ratios and high quality of the video compared to existing standard techniques, such as MPEG and H.261/H.263. The elegance of the XYZ technique is in its simplicity, which leads to inexpensive VLSI implementation of any XYZ codec. Real-Time Video Compression: Techniques and Algorithms can be used as a text for graduate students and researchers working in the area of real-time video compression. In addition, the book serves as an essential reference for professionals in the field.
Book Synopsis Rate-distortion Optimization of H.263 Video Encoder by : Hong Liu
Download or read book Rate-distortion Optimization of H.263 Video Encoder written by Hong Liu and published by . This book was released on 2001 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Implementing Rate-distortion Optimization on a Resource-limited H.264 Encoder by : Eric Syu
Download or read book Implementing Rate-distortion Optimization on a Resource-limited H.264 Encoder written by Eric Syu and published by . This book was released on 2005 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis models the rate-distortion characteristics of an H.264 video compression encoder to improve its mode decision performance. First, it provides a background to the fundamentals of video compression. Then it describes the problem of estimating rate and distortion of a macroblock given limited computational resources. It derives the macroblock rate and distortion as a function of the residual SAD and H.264 quantization parameter QP. From the resulting equations, this thesis implements and verifies rate-distortion optimization on a resource-limited H.264 encoder. Finally, it explores other avenues of improvement.
Book Synopsis Rate-distortion-complexity Optimization for High Efficiency Video Coding by : 朱林衛
Download or read book Rate-distortion-complexity Optimization for High Efficiency Video Coding written by 朱林衛 and published by . This book was released on 2018 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Complexity and Rate-distortion Scalable Video Coding Optimization by : Dan Grois
Download or read book Computational Complexity and Rate-distortion Scalable Video Coding Optimization written by Dan Grois and published by . This book was released on 2011 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Improving the Rate-Distortion Performance in Distributed Video Coding by : Yaser Mohammad Taheri
Download or read book Improving the Rate-Distortion Performance in Distributed Video Coding written by Yaser Mohammad Taheri and published by . This book was released on 2017 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed video coding is a coding paradigm, which allows encoding of video frames at a complexity that is substantially lower than that in conventional video coding schemes. This feature makes it suitable for some emerging applications such as wireless surveillance video and mobile camera phones. In distributed video coding, a subset of frames in the video sequence, known as the key frames, are encoded using a conventional intra-frame encoder, such as H264/AVC in the intra mode, and then transmitted to the decoder. The remaining frames, known as the Wyner-Ziv frames, are encoded based on the Wyner-Ziv principle by using the channel codes, such as LDPC codes. In the transform-domain distributed video coding, each Wyner-Ziv frame undergoes a 4x4 block DCT transform and the resulting DCT coefficients are grouped into DCT bands. The bitplaines corresponding to each DCT band are encoded by a channel encoder, for example an LDPCA encoder, one after another. The resulting error-correcting bits are retained in a buffer at the encoder and transmitted incrementally as needed by the decoder. At the decoder, the key frames are first decoded. The decoded key frames are then used to generate a side information frame as an initial estimate of the corresponding Wyner-Ziv frame, usually by employing an interpolation method. The difference between the DCT band in the side information frame and the corresponding one in the Wyner-Ziv frame, referred to as the correlation noise, is often modeled by Laplacian distribution. A soft-input information for each bit in the bitplane is obtained using this correlation noise model and the corresponding DCT band of the side information frame. The channel decoder then uses this soft-input information along with some error-correcting bits sent by the encoder to decode the bitplanes of each DCT band in each of the Wyner-Ziv frames. Hence, an accurate estimation of the correlation noise model parameter(s) and generation of high-quality side information are required for reliable soft-input information for the bitplanes in the decoder, which in turn leads to a more efficient decoding. Consequently, less error-correcting bits need to be transmitted from the encoder to the decoder to decode the bitplanes, leading to a better compression efficiency and rate-distortion performance. The correlation noise is not stationary and its statistics vary within each Wyner-Ziv frame and within its corresponding DCT bands. Hence, it is difficult to find an accurate model for the correlation noise and estimate its parameters precisely at the decoder. Moreover, in existing schemes the parameters of the correlation noise for each DCT band are estimated before the decoder starts to decode the bitplanes of that DCT band and they are not modified and kept unchanged during decoding process of the bitplanes. Another problem of concern is that, since side information frame is generated in the decoder using the temporal interpolation between the previously decoded frames, the quality of the side information frames is generally poor when the motions between the frames are non-linear. Hence, generating a high-quality side information is a challenging problem. This thesis is concerned with the study of accurate estimation of correlation noise model parameters and increasing in the quality of the side information from the standpoint of improving the rate-distortion performance in distributed video coding. A new scheme is proposed for the estimation of the correlation noise parameters wherein the decoder decodes simultaneously all the bitplanes of a DCT band in a Wyner-Ziv frame and then refines the parameters of the correlation noise model of the band in an iterative manner. This process is carried out on an augmented factor graph using a new recursive message passing algorithm, with the side information generated and kept unchanged during the decoding of the Wyner-Ziv frame. Extensive simulations are carried out showing that the proposed decoder leads to an improved rate-distortion performance in comparison to the original DISCOVER codec and in another DVC codec employing side information frame refinement, particularly for video sequences with high motion content. In the second part of this work, a new algorithm for the generation of the side information is proposed to refine the initial side information frame using the additional information obtained after decoding the previous DCT bands of a Wyner-Ziv frame. The simulations are carried out demonstrating that the proposed algorithm provides a performance superior to that of schemes employing the other side information refinement mechanisms. Finally, it is shown that incorporating the proposed algorithm for refining the side information into the decoder proposed in the first part of the thesis leads to a further improvement in the rate-distortion performance of the DVC codec.
Book Synopsis A Rate-distortion Optimized Multiple Description Video Codec for Error Resilient Transmission by : Moyuresh Biswas
Download or read book A Rate-distortion Optimized Multiple Description Video Codec for Error Resilient Transmission written by Moyuresh Biswas and published by . This book was released on 2009 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The demand for applications like transmission and sharing of video is ever-increasing. Although network resources (bandwidth in particular) and coverage, networking technologies, compression ratio of state-of-the-art video coders have improved, unreliability of the transmission medium prevents us from gaining the most benefit from these applications. This thesis introduces a video coder that is resilient to network failures for transmission applications by using the framework of multiple description coding (MDC). Unlike traditional video coding which compresses the video into single bitstream, in MDC the video is compressed into more than one bitstream which can be independently decoded. It not only averages out the effect of network errors over the bitstreams but it also makes it possible to utilize the multipath nature of most network topologies. An end-to-end rate-distortion optimization is proposed for the codec to make sure that the codec exhibits improved compression performance and that the descriptions are equally efficient to improve the final video quality. An optimized strategy for packetizing the compressed bitstreams of the descriptions is also proposed which guarantees that each packet is self-contained and efficient. The evaluation of the developed MD codec over simulated unreliable packet networks shows that it is possible to achieve improved resilience with the proposed strategies and the end video quality is significantly improved as a result. This is further verified with subjective evaluation over a range of different types of video test sequences.
