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Author : Thanuja Mallikarachchi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)
Download or read book HEVC Encoder Optimization and Decoding Complexity-aware Video Encoding written by Thanuja Mallikarachchi and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guilherme Corrêa
Publisher : Springer
ISBN 13 : 3319257781
Total Pages : 246 pages
Book Rating : 4.3/5 (192 download)
Download or read book Complexity-Aware High Efficiency Video Coding written by Guilherme Corrêa and published by Springer. This book was released on 2015-12-29 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational complexity to the reduction and scaling of its encoding complexity. After an introduction to the topic and a review of the state-of-the-art research in the field, the authors provide a detailed analysis of the HEVC encoding tools compression efficiency and computational complexity. Readers will benefit from a set of algorithms for scaling the computational complexity of HEVC encoders, all of which take advantage from the flexibility of the frame partitioning structures allowed by the standard. The authors also provide a set of early termination methods based on data mining and machine learning techniques, which are able to reduce the computational complexity required to find the best frame partitioning structures. The applicability of the proposed methods is finally exemplified with an encoding time control system that employs the best complexity reduction and scaling methods presented throughout the book. The methods presented in this book are especially useful in power-constrained, portable multimedia devices to reduce energy consumption and to extend battery life. They can also be applied to portable and non-portable multimedia devices operating in real time with limited computational resources.
Author : Michael Krause
Publisher : diplom.de
ISBN 13 : 3832490965
Total Pages : 122 pages
Book Rating : 4.8/5 (324 download)
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 [...]
Author : K.R. Rao
Publisher : CRC Press
ISBN 13 : 1000794636
Total Pages : 319 pages
Book Rating : 4.0/5 (7 download)
Download or read book High Efficiency Video Coding and Other Emerging Standards written by K.R. Rao and published by CRC Press. This book was released on 2022-09-01 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Efficiency Video Coding and Other Emerging Standards provides an overview of high efficiency video coding (HEVC) and all its extensions and profiles. There are nearly 300 projects and problems included, and about 400 references related to HEVC alone. Next generation video coding (NGVC) beyond HEVC is also described. Other video coding standards such as AVS2, DAALA, THOR, VP9 (Google), DIRAC, VC1, and AV1 are addressed, and image coding standards such as JPEG, JPEG-LS, JPEG2000, JPEG XR, JPEG XS, JPEG XT and JPEG-Pleno are also listed.Understanding of these standards and their implementation is facilitated by overview papers, standards documents, reference software, software manuals, test sequences, source codes, tutorials, keynote speakers, panel discussions, reflector and ftp/web sites – all in the public domain. Access to these categories is also provided.
Author : Vivienne Sze
Publisher : Springer
ISBN 13 : 3319068954
Total Pages : 384 pages
Book Rating : 4.3/5 (19 download)
Download or read book High Efficiency Video Coding (HEVC) written by Vivienne Sze and published by Springer. This book was released on 2014-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Humberto Ochoa Dominguez
Publisher : CRC Press
ISBN 13 : 1000795055
Total Pages : 458 pages
Book Rating : 4.0/5 (7 download)
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
Author : Ray Garcia
Publisher :
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4.:/5 (895 download)
Download or read book HEVC Optimization in Mobile Environments written by Ray Garcia and published by . This book was released on 2014 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, multimedia applications and their use have grown dramatically in popularity in strong part due to mobile device adoption by the consumer market. Applications, such as video conferencing, have gained popularity. These applications and others have a strong video component that uses the mobile device's resources. These resources include processing time, network bandwidth, memory use, and battery life. The goal is to reduce the need of these resources by reducing the complexity of the coding process. Mobile devices offer unique characteristics that can be exploited for optimizing video codecs. The combination of small display size, video resolution, and human vision factors, such as acuity, allow encoder optimizations that will not (or minimally) impact subjective quality. The focus of this dissertation is optimizing video services in mobile environments. Industry has begun migrating from H.264 video coding to a more resource intensive but compression efficient High Efficiency Video Coding (HEVC). However, vi there has been no proper evaluation and optimization of HEVC for mobile environments. Subjective quality evaluations were performed to assess relative quality between H.264 and HEVC. This will allow for better use of device resources and migration to new codecs where it is most useful. Complexity of HEVC is a significant barrier to adoption on mobile devices and complexity reduction methods are necessary. Optimal use of encoding options is needed to maximize quality and compression while minimizing encoding time. Methods for optimizing coding mode selection for HEVC were developed. Complexity of HEVC encoding can be further reduced by exploiting the mismatch between the resolution of the video, resolution of the mobile display, and the ability of the human eyes to acquire and process video under these conditions. The perceptual optimizations developed in this dissertation use the properties of spatial (visual acuity) and temporal information processing (motion perception) to reduce the complexity of HEVC encoding. A unique feature of the proposed methods is that they reduce encoding complexity and encoding time. The proposed HEVC encoder optimization methods reduced encoding time by 21.7% and bitrate by 13.4% with insignificant impact on subjective quality evaluations. These methods can easily be implemented today within HEVC.
Author : Avinash Ramachandran
Publisher : Avinash Ramachandran
ISBN 13 : 9780998045016
Total Pages : 228 pages
Book Rating : 4.0/5 (45 download)
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
Author : Vasavee Vijayaraghavan
Publisher :
ISBN 13 :
Total Pages : 132 pages
Book Rating : 4.:/5 (946 download)
Download or read book Reducing the Encoding Time of Motion Estimation in HEVC Using Parallel Programming written by Vasavee Vijayaraghavan and published by . This book was released on 2016 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Efficiency Video Coding (HEVC) [10] is the current state-of-art video codec which is widely being adopted by lot of users. It has close to 50% reduction in encoding time compared to its predecessor, H.264 or AVC [37] (Advanced Video Coding) at the cost of increased complexity. Lot of research is going towards reducing the complexity of this codec, at the same time, maintaining the visual quality that it produces and maintaining the reduced encoding time from its predecessor. As an effort to decrease the encoding time further, there can be several approaches. Parallel processing is taking a dominant role in many places, especially in Graphics Processing Unit (GPU) and multi-cored processor based applications. Because of the ability of the parallel programming to utilize the multiple cores efficiently at the same time, in place of serial programming, this has been used in many applications which demand quicker completion. If areas that are parallelizable are identified in any codec [38] (HEVC in this case), the encoding time can be drastically reduced by writing an efficient algorithm. In parallel programming, it is very important that the parallelized portion has the least amount of dependencies; otherwise it will lead to reverse effects of what is actually expected. Thus, the success lies in identifying the region of the codec that contributes more towards encoding time and that has least dependencies, and optimizing that portion of the codec. In this thesis, thorough analysis is done to identify the hot spots in the codec implementation, HM16.7, of High Efficiency Video Coding (HEVC) developed by the JCTVC team. This hotspot analysis is implemented using Intel's most powerful tool, Intel® vTune Amplifier. The results of this hotspot analysis will be functions and loops that use most of the CPU time. Once this is identified, the respective function is targeted to be optimized using Parallel programming with OpenMP. Iterative runs are carried out on the modified code to check whether the code has been reasonably optimized. The final optimized code is tested for encoding videos using metrics such as PSNR (Peak Signal to Noise Ratio), R-D plot (Rate Distortion) and computational complexity in terms of encoding time. Through optimization of the HEVC HM16.7 encoder, there is an average reduction of ~24.7% to ~42.3% in encoding time with ~3.5 to 7% PSNR gain and ~1.6% to 4% bitrate increase.
Author : Jan Lee Ozer
Publisher : Doceo Publishing
ISBN 13 : 9780998453002
Total Pages : 340 pages
Book Rating : 4.4/5 (53 download)
Download or read book Video Encoding by the Numbers written by Jan Lee Ozer and published by Doceo Publishing. This book was released on 2016-12-28 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video Encoding by the Numbers helps readers optimize the quality and efficiency of their streaming video by objectively detailing the impact of critical configuration options with industry-standard quality metrics like PSNR and SSIMplus. This takes the guesswork out of most encoding decisions and allows readers to achieve the optimal quality/data rate tradeoff. In addition, readers learn how to use tools like the Moscow University Video Quality Measurement tool, SSIMWave Quality of Experience Monitor, and FFmpeg to perform similar quality tests on their own videos. Because all videos encode differently, the tests detailed in the book involve eight different videos, including movie footage, animations, talking head footage, a music video, and Powerpoint and Camtasia-based videos. Readers first learn how to determine the ideal data rate for their videos at different resolutions. Then the book covers configuration options like bitrate control (CBR, VBR) that impacts quality and deliverability, and I-Frame, B-Frame, and reference frame decisions that impact quality and encoding time. The next three chapters focus on codec-specific configurations like Profile and preset for H.264 and HEVC, and the various configuration options available for Google's VP9. Next the book details how to choose an adaptive bitrate (ABR) technology, how to create an encoding ladder, and the most efficient ways to encode and package video into different ABR formats. Working off the groundbreaking work by Netflix and YouTube, the final chapter teaches the reader how a use per-title encoding with their own videos to create the ideal encoding ladder for each video in their library. Each chapter concludes with a section detailing how to configure the options discussed with FFmpeg, a preferred tool for high-volume video producers, including packaging into HLS and DASH formats (the latter with MP4Box). Overall readers learn how to optimally configure their encoding ladders and how to produce their videos with FFmpeg.
Author : Luís Filipe Rosário Lucas
Publisher : Springer
ISBN 13 : 3319511807
Total Pages : 180 pages
Book Rating : 4.3/5 (195 download)
Download or read book Efficient Predictive Algorithms for Image Compression written by Luís Filipe Rosário Lucas and published by Springer. This book was released on 2017-02-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as 3D video, Light Fields and natural images. The authors begin with a review of the state-of-the-art predictive coding methods and compression technologies for both 2D and 3D multimedia contents, which provides a good starting point for new researchers in the field of image and video compression. New prediction techniques that go beyond the standardized compression technologies are then presented and discussed. In the context of 3D video, the authors describe a new predictive algorithm for the compression of depth maps, which combines intra-directional prediction, with flexible block partitioning and linear residue fitting. New approaches are described for the compression of Light Field and still images, which enforce sparsity constraints on linear models. The Locally Linear Embedding-based prediction method is investigated for compression of Light Field images based on the HEVC technology. A new linear prediction method using sparse constraints is also described, enabling improved coding performance of the HEVC standard, particularly for images with complex textures based on repeated structures. Finally, the authors present a new, generalized intra-prediction framework for the HEVC standard, which unifies the directional prediction methods used in the current video compression standards, with linear prediction methods using sparse constraints. Experimental results for the compression of natural images are provided, demonstrating the advantage of the unified prediction framework over the traditional directional prediction modes used in HEVC standard.
Author : Pierre Duhamel
Publisher : Academic Press
ISBN 13 : 0080922449
Total Pages : 337 pages
Book Rating : 4.0/5 (89 download)
Download or read book Joint Source-Channel Decoding written by Pierre Duhamel and published by Academic Press. This book was released on 2009-11-26 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Treats joint source and channel decoding in an integrated way Gives a clear description of the problems in the field together with the mathematical tools for their solution Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks Traditionally, cross-layer and joint source-channel coding were seen as incompatible with classically structured networks but recent advances in theory changed this situation. Joint source-channel decoding is now seen as a viable alternative to separate decoding of source and channel codes, if the protocol layers are taken into account. A joint source/protocol/channel approach is thus addressed in this book: all levels of the protocol stack are considered, showing how the information in each layer influences the others. This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to mobiles. Typical applications are broadcasting, or point-to-point delivery of multimedia contents, which are very timely in the context of the current development of mobile services such as audio (MPEG4 AAC) or video (H263, H264) transmission using recent wireless transmission standards (DVH-H, DVB-SH, WiMAX, LTE). This cross-disciplinary book is ideal for graduate students, researchers, and more generally professionals working either in signal processing for communications or in networking applications, interested in reliable multimedia transmission. This book is also of interest to people involved in cross-layer optimization of mobile networks. Its content may provide them with other points of view on their optimization problem, enlarging the set of tools which they could use. Pierre Duhamel is director of research at CNRS/ LSS and has previously held research positions at Thomson-CSF, CNET, and ENST, where he was head of the Signal and Image Processing Department. He has served as chairman of the DSP committee and associate Editor of the IEEE Transactions on Signal Processing and Signal Processing Letters, as well as acting as a co-chair at MMSP and ICASSP conferences. He was awarded the Grand Prix France Telecom by the French Science Academy in 2000. He is co-author of more than 80 papers in international journals, 250 conference proceedings, and 28 patents. Michel Kieffer is an assistant professor in signal processing for communications at the Université Paris-Sud and a researcher at the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His research interests are in joint source-channel coding and decoding techniques for the reliable transmission of multimedia contents. He serves as associate editor of Signal Processing (Elsevier). He is co-author of more than 90 contributions to journals, conference proceedings, and book chapters. Treats joint source and channel decoding in an integrated way Gives a clear description of the problems in the field together with the mathematical tools for their solution Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks
Author : Abhishek Hassan Thungaraj
Publisher :
ISBN 13 :
Total Pages : 69 pages
Book Rating : 4.:/5 (896 download)
Download or read book Encoder Complexity Reduction with Selective Motion Merge in HEVC written by Abhishek Hassan Thungaraj and published by . This book was released on 2014 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: The High Efficiency Video Coding (HEVC) standard is the latest video coding project developed by the Joint Collaborative Team on Video Coding (JCT-VC) which involves the International Telecommunication Unit (ITU-T) Video Coding Experts Group (VCEG) and the ISO/IEC Moving Pictures Experts Group (MPEG) standardization organizations. The HEVC standard is based on the previous widely used H.264/AVC (Advance Video Coding) standard [10] but includes many new tools and improvements in different key areas which has resulted in achieving a 50% bitrate reduction compared to its predecessor amidst maintaining the same visual quality [11] at a cost of increased complexity. Among the different vital blocks of a video codec the motion estimation and motion compensation blocks are considered as the key and the most complex section. The calculations involving the derivation of motion estimation followed by predictor picture derivation leading to a residual image which is in turn followed by motion compensation using the previously encoded motion information is responsible for consuming a large part of the encoding time and device resource. Since the video signal largely consists of real world objects which have regions of homogeneous motion, the encoder tries to make use of these regions of common motion to bring about a reduction in bitrate. To achieve this reduction the encoder adapts the technique of motion merging which exploit the redundancies among the motion information data obtained through motion estimation. Although the present algorithm used in HEVC is capable of making use of these redundancies they still impose a large computational and encoding time overhead on the codecs affecting the device performance. The thesis proposes an algorithm which selectively performs the motion merging allowing the formation of larger blocks of homogenous motion which reduces the bitrate and also utilizes the typical characteristics of video signal to reduce the encoding time at a cost of little loss of quality. The experimental results based on the proposed algorithm on several test sequences suggest a reduction in encoding time by 14-24%, reduction in bitrate by 2-7% at a little loss of quality by 2-6%. Metrics such as BD-PSNR (Bjontegaard Delta Peak Signal to Noise Ratio), BD-bitrate (Bjontegaard Delta bitrate) are used.
Author : Andrea Vedaldi
Publisher : Springer Nature
ISBN 13 : 3030585360
Total Pages : 840 pages
Book Rating : 4.0/5 (35 download)
Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-03 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Author : Vinoothna Gajula
Publisher :
ISBN 13 :
Total Pages : 67 pages
Book Rating : 4.:/5 (881 download)
Download or read book Complexity Reduction in HEVC Intra Coding and Comparison with H.264/AVC written by Vinoothna Gajula and published by . This book was released on 2014 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: ITU-T (VCEG) and ISO/IEC (MPEG) collaborated and formed the joint collaborative team on video coding (JCT-VC) in April 2010 to develop the next-generation video coding (NGVC) standard.. HEVC standard doubles the coding efficiency and the approximately 50% less bit rate with respect to H.264/AVC, at nearly the same video quality at expense of increased complexity. In this thesis, a technique is proposed to reduce the complexity of HEVC intra coding to get better encoding time, involving two steps - first by optimizing the PU (prediction unit) size decision process using texture complexity analysis by intensity gradients and second to obtain the reduced prediction modes by applying a combination of rough mode decision (RMD) and most probable modes (MPM) thereby reducing the number of modes based on rate distortion optimization (RDO) followed by residual quad-tree (RQT) which is used to simplify the entire process The technique developed in this thesis achieved an average gain of 47.25% encoder time when implemented for several test sequences at very less loss in performance with high complexity reduction.
Author : Madhukar Bhat
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (125 download)
Download or read book Perceptual Optimization and Complexity Reduction for Real-time Video Encoding written by Madhukar Bhat and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis explores perceptual optimization and complexity reduction towards improving video compression schemes in a real-time encoding framework context. Different strategies are proposed to address perceptual enhancements and complexity reduction. The work is divided into three main parts that tackle several aspects to improve real-time video encoding. The first contribution introduces a perceptual pre-processing filter based on a model of the Human Visual System. This preprocessing filter can be tuned and has been optimized for multiple viewing conditions. An investigation of different objective quality metric's accuracy in measuring the performance of pre-processing is also reported. The second part of the thesis proposes a machine learning classification-based methodology to adaptively predict and select the best encoding resolution in a single-pass encoding scenario. For this purpose, three different classifiers have been considered: Support Vector Machine, Random Forest (RF), and Multi-Layer Perceptron. Several objective quality metrics have been characterized and benchmarked for various quality ranges concerning the uncertainty of subjective quality ground-truth to evaluate and drive the perceptual gain at a given bitrate. Also, a new, subjectively more accurate RFbased fusion metric has been introduced for ground truth dataset annotation of classifiers. The final part focuses on tackling the most challenging encoding part of the new Versatile Video Coding (VVC) standard: the Multi-Type Tree partitioning decision. A new ML-based partitioning decision criteria is proposed covering all standard partitioning possibilities for both intra and inter, especially suitable for realtime hardware encoder. A CNN-based approach was considered, offering classifiers for different coding unit depth, shapes, and picture types.
Author : Yongfang Liang
Publisher :
ISBN 13 : 9780542604867
Total Pages : pages
Book Rating : 4.6/5 (48 download)
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.
