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|a HCDD
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|a Dominguez, Humberto Ochoa.
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|a Versatile Video Coding
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|a Aalborg :
|b River Publishers,
|c 2019.
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|a 1 online resource (460 pages)
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|a text
|b txt
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|a River Publishers Series in Signal, Image and Speech Processing Ser.
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|a Print version record.
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|a Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN SIGNAL, IMAGE AND SPEECH PROCESSING; Title page -Versatile Video Coding Latest Advances in Video Coding Standards; Latest Advances in Video Coding Standards; Copyright; Contents; Preface; Acknowledgements; List of Figures; List of Tables; List of Abbreviations; Number of References and Projects; Introduction; Chapter 1 -- Beyond High Efficiency Video Coding (HEVC); 1.1 Introduction; 1.2 Standard Dynamic Range; 1.2.1 Video Test Sequence Formats and Frame Rates; 1.2.2 Coding Conditions of Submissions; 1.2.3 Anchors; 1.3 High Dynamic Range
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|a 1.3.1 Video Test Sequence Formats and Frame Rates1.3.2 Coding Conditions of Submissions; 1.3.3 Anchors; 1.4 360 Video; 1.4.1 Video Test Sequence Formats and Frame Rates; 1.4.2 Coding Conditions of Submissions; 1.5 Test Sequences; 1.6 Distribution Formats for Test Sequences and Decoded Results, Delivery of Bitstreams and Binary Decoders, Utilities and Cross-check Meeting; 1.7 Testing Environment and Methodology; 1.7.1 Selection of the Test Method; 1.7.2 DSIS; 1.7.3 DSCQS; 1.7.4 How to Express the Visual Quality Opinion with DSIS; 1.7.5 How to Express the Visual Quality Opinion with DSCQS
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|a 1.7.6 Training and Stabilization Phase1.7.7 The Laboratory Setup; 1.7.8 Viewing Distance, Seats and Monitor Size; 1.7.9 Viewing Environment; References; Chapter 2 -- HEVC Encoder; 2.1 Joint Collaborative Team on Video Coding (JCT-VC); 2.2 Analysis of Coding Tools in HEVC Test Model, HM 1.0 -Intra Prediction; 2.3 HEVC Encoder; 2.3.1 Intra Prediction; 2.3.2 Transform Coefficient Scanning; 2.3.3 Luma and Chroma Fractional Pixel Interpolation; 2.3.4 Comparison of Coding Tools of HM1 and HEVC Draft 9; 2.4 Extensions to HEVC; 2.5 Profiles and Levels
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|a 2.6 Performance and Computational Complexity of HEVC Encoders2.7 System Layer Integration of HEVC; 2.8 HEVC Lossless Coding and Improvements [E86]; 2.9 Summary; 2.10 Projects; Chapter 3 -- Screen Content Coding for HEVC; 3.1 Introduction to SCC; 3.2 Screen Content Coding Tools; 3.2.1 Intra Block Copy; 3.2.2 Palette Mode; 3.2.2.1 Palette Derivation; 3.2.2.2 Coding the Palette Entries; 3.2.2.3 Coding the Palette Indices; 3.2.3 Adaptive Colour Transform (ACT); 3.2.3.1 Colour Space Conversion; 3.2.3.2 Encoder Optimization; 3.2.4 Adaptive Motion Vector Resolution
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|a Chapter 4 -- Lossless and Visually Lossless Coding Algorithms4.1 Residual DPCM; 4.1.1 Sample-Based Weighted Prediction with DirectionalTemplate Matching; 4.1.2 Sample-Based Angular Intra-Prediction; 4.1.3 Sample-Based Angular Intra-Prediction with Edge Prediction; 4.2 Fast Coding Algorithms; 4.2.1 Adaptive Motion Compensation Precision; 4.2.2 Fast Intra Coding; 4.3 Visual Quality Assessment; 4.3.1 Screen Image Quality Assessment; 4.3.2 Objective Quality Assessment; 4.3.3 Subjective Quality Assessment; 4.4 Other SCC Algorithms; 4.4.1 Segmentation; 4.4.2 Rate Control; 4.5 Summary; 4.6 Projects
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|a References
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|a 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 360À 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 Coding * High Efficiency Video Coding encoder * Screen content * Lossless and visually lossless coding algorithms * Fast coding algorithms * Visual quality assessment * Other screen content coding algorithms Overview of JPEG Series.
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|a Digital video.
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|a Video compression.
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|a Digital video
|2 fast
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|a Video compression
|2 fast
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|a Rao, K. R.
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|i has work:
|a Versatile video coding (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCG3qy6pr3tYRXFFQ3FTH3P
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Print version:
|a Dominguez, Humberto Ochoa.
|t Versatile Video Coding.
|d Aalborg : River Publishers, ©2019
|z 9788770220477
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| 830 |
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0 |
|a River Publishers series in signal, image and speech processing.
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| 830 |
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|a River Publishers Series in Signal, Image and Speech Processing Ser.
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| 856 |
4 |
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|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=5725484
|y Click for online access
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