Skip to content
You are not logged in |Login  

LEADER 00000cam a2200661Mi 4500 
001    on1125111700 
003    OCoLC 
005    20210702123110.9 
006    m     o  d         
007    cr |n||||||||| 
008    191026t20192019xx      o     000 0 eng d 
020    1785617117 
020    9781785617119|q(electronic book) 
020    |z9781785617102 
020    |z1785617109 
035    (OCoLC)1125111700 
040    EBLCP|beng|epn|cEBLCP|dSTF|dOCLCO|dRB#|dUIU|dOCLCF|dUKAHL
       |dNJT|dCUS|dOCLCQ|dVLB|dOCL|dOCLCO|dN$T|dVRC|dOCLCO 
049    RIDW 
050  4 TK5102.92|b.V575 2019 
082 04 621.388|223 
090    TK5102.92|b.V575 2019 
245 00 VLSI Architectures for Future Video Coding /|cedited by 
       Maurizio Martina. 
264  1 Stevenage :|bInstitution of Engineering & Technology,
       |c2019. 
264  4 |c©2019 
300    1 online resource (385 pages). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rdaft 
490 1  IET Materials, circuits and devices series ;|v53 
505 0  Intro; Contents; Preface; 1. Scalable transform 
       architectures for video coding / Sonda Ben Jdidia, Maher 
       Jridi, Pramod Kumar Meher, Nouri Masmoudi and Ayman Al 
       Falou; 1.1 Introduction; 1.2 Review of scalable transforms
       in HEVC; 1.2.1 Transform coding in HEVC; 1.2.2 Approximate
       DCT algorithms and their hardware architecture for HEVC; 
       1.2.3 Complexity analysis; 1.2.4 Synthesis results; 1.3 
       Video-coding concept in VVC standard; 1.3.1 VVC encoder 
       scheme; 1.3.2 Transform coding for VVC standard; 1.3.3 
       Statistical analysis; 1.4 Approximation for DCT-II 
       transform and its hardware architecture 
505 8  1.4.1 Algorithm description;1.4.2 Approximate 8-point 
       transform architecture; 1.4.3 Reconfigurable designs for 
       1D/2D DCT computing; 1.4.4 Video-coding performance; 1.5 
       New approximation for DST-VII transform; 1.5.1 Algorithm 
       description; 1.5.2 Video-coding performance; 1.6 
       Conclusion; References; 2. Joint algorithm-architecture 
       design of video coding modules / Claudio M. Diniz, Brunno 
       Abreu, Mateus Grellert, Felipe Martin Sampaio, Daniel 
       Palomino, Fabio Luıs Livi Ramos, Bruno Zatt and Sergio 
       Bampi; 2.1 Introduction; 2.2 Video coding evolution and 
       state of the art 
505 8  2.2.1 Evolution of video coding standards; 2.2.2 Overview 
       of HEVC and VVC codecs; 2.3 Video coding application 
       analysis; Analysis of VVC and HEVC encoders; 2.4 Rate-
       distortion optimization; 2.4.1 Block-partitioning 
       decisions; 2.4.2 Distortion metrics; 2.4.3 Challenges on 
       rate-distortion optimization for VVC encoder; 2.5 Inter-
       frame prediction; 2.5.1 Integer motion estimation; 2.5.2 
       Fractional motion estimation; 2.5.3 Dedicated memories for
       motion estimation; 2.6 Intra-frame prediction; 2.6.1 Intra
       -prediction mode decision in H.265/HEVC; 2.6.2 Hardware 
       architecture for the HEVC intra-prediction 
505 8  2.6.3 Challenges on intra-frame prediction architecture 
       design for VVC encoder2.7 Transforms; 2.7.1 Challenges of 
       transforms architecture design for VVC encoder; 2.8 In-
       loop filter; 2.9 Entropy coding; 2.9.1 Upcoming challenges
       related to entropy encoding; 2.10 Conclusions; 
       Acknowledgements; References; 3. High-throughput 
       architectures for high-resolution video coding: system 
       architecture analysis / Grzegorz Pastuszak; 3.1 Hardware 
       vs. software encoders; 3.2 Hardware optimization 
       techniques; 3.3 Timing constraints on pixel units; 3.4 
       Mode decision tradeoffs; 3.4.1 Reconstruction loop 
505 8  3.4.2 Transforms; 3.4.3 Mode preselection; 3.4.4 Cost 
       estimation; 3.5 Motion estimation and compensation; 3.5.1 
       Search strategy; 3.5.2 Fractional-pel motion estimation; 
       3.5.3 Access to memories; 3.5.4 Motion vector prediction; 
       3.6 Entropy coding; 3.7 Summary; References; 4. High-
       throughput architectures for high-resolution video coding:
       hardwired oriented algorithms and VLSI architectures / 
       Grzegorz Pastuszak; 4.1 Reconstruction loop; 4.1.1 
       Transform architectures; 4.1.2 Parallel loops; 4.1.3 
       Interleaved processing order; 4.2 Rate-distortion 
       optimization; 4.2.1 RDO based on signal features 
505 8  4.2.2 Simplified rate estimation 
520    This book examines future video coding from the 
       perspective of hardware implementation and architecture 
       design. The book identifies challenges in deploying VLSI 
       architectures for video coding and postulates potential 
       solutions with reference to recent research. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Digital video.|0https://id.loc.gov/authorities/subjects/
       sh94007636 
650  0 Coding theory.|0https://id.loc.gov/authorities/subjects/
       sh85027654 
650  0 Integrated circuits|xVery large scale integration.|0https:
       //id.loc.gov/authorities/subjects/sh85067125 
650  0 Video compression.|0https://id.loc.gov/authorities/
       subjects/sh93007921 
650  7 Digital video.|2fast|0https://id.worldcat.org/fast/893738 
650  7 Coding theory.|2fast|0https://id.worldcat.org/fast/866237 
650  7 Integrated circuits|xVery large scale integration.|2fast
       |0https://id.worldcat.org/fast/975602 
650  7 Video compression.|2fast|0https://id.worldcat.org/fast/
       1166400 
655  4 Electronic books. 
700 1  Martina, Maurizio,|d1975-|0https://id.loc.gov/authorities/
       names/no2020003989|eeditor. 
776 08 |iPrint version:|aMartina, Maurizio.|tVLSI Architectures 
       for Future Video Coding.|dStevenage : Institution of 
       Engineering & Technology, ©2019|z9781785617102 
830  0 Materials, circuits and devices series ;|0https://
       id.loc.gov/authorities/names/no2016019132|v53. 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=2255774|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20210708|cEBSCO|tEBSCOebooksacademic NEW 5016 |lridw 
994    92|bRID