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Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications PDF

516 Pages·2015·25.616 MB·English
by  Feng Wu
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W Series in Multimedia Computing, Communication and Intelligence Electrical Engineering / Image Processing u Advances in Visual Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient Data Compression communication, even in the presence of growing communication channels that C offer increased bandwidth. o Presenting the results of the author’s years of research on visual data compression and Communication m and transmission, Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications provides a theoretical pA and technical basis for advanced research on visual data compression and r d communication. e Meeting the Requirements of New Applications v s The book studies the drifting problem in scalable video coding, analyzes the sa reasons causing the problem, and proposes various solutions to the problem. It in o explores the author’s Barbell-based lifting coding scheme that has been adopted c n as common software by MPEG. It also proposes a unified framework for deriving e a directional transform from the nondirectional counterpart. The structure of the s a framework and the statistic distribution of coefficients are similar to those of the n i nondirectional transforms, which facilitates subsequent entropy coding. n d Exploring the visual correlation that exists in media, the text extends the V C current coding framework from different aspects, including advanced image i synthesis—from description and reconstruction to organizing correlated o s images as a pseudo sequence. It explains how to apply compressive sensing mu to solve the data compression problem during transmission and covers novel a research on compressive sensor data gathering, random projection codes, and m l compressive modulation. uD For analog and digital transmission technologies, the book develops the pseudo- n a analog transmission for media and explores cutting-edge research on distributed it pseudo-analog transmission, denoising in pseudo-analog transmission, and ca supporting MIMO. It concludes by considering emerging developments of a information theory for future applications. t i o n Feng Wu K22985 6000 Broken Sound Parkway, NW Suite 300, Boca Raton, FL 33487 ISBN: 978-1-4822-3413-8 711 Third Avenue 90000 New York, NY 10017 an informa business 2 Park Square, Milton Park www.crcpress.com Abingdon, Oxon OX14 4RN, UK 9 781482 234138 www.auerbach-publications.com K22985 cvr mech.indd 1 6/17/14 8:23 AM (cid:105) (cid:105) (cid:105) (cid:105) Advances in Visual Data Compression and Communication Meeting the Requirements of New Applications (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) Multimedia Computing, Communication and Intelligence Series Editors: Chang Wen Chen and Shiguo Lian Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications Feng Wu ISBN: 978-1-4822-3413-8 Effective Surveillance for Homeland Security: Balancing Technology and Social Issues Edited by Francesco Flammini, Roberto Setola, and Giorgio Franceschetti ISBN: 978-1-4398-8324-2 Music Emotion Recognition Yi-Hsuan Yang and Homer H. Chen ISBN: 978-1-4398-5046-6 Optimal Resource Allocation for Distributed Video and Multimedia Communications Yifeng He, Ling Guan, and Wenwu Zhu ISBN: 978-1-4398-7514-8 TV Content Analysis: Techniques and Applications Edited by Yiannis Kompatsiaris, Bernard Merialdo, and Shiguo Lian ISBN: 978-1-4398-5560-7 (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) Advances in Visual Data Compression and Communication Meeting the Requirements of New Applications Feng Wu (cid:105) (cid:105) (cid:105) (cid:105) CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2015 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Version Date: 20140501 International Standard Book Number-13: 978-1-4822-3415-2 (eBook - PDF) This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmit- ted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, please access www.copyright. com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com (cid:105) (cid:105) (cid:105) (cid:105) Tothe15yearsIspentwithMicrosoft ResearchAsia. (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) Contents Preface............................................................ xvii Acknowledgments .................................................. xxv Acronyms ......................................................... xxix PartI BasisforCompressionandCommunication 1 InformationTheory ............................................ 3 1.1 Introduction ............................................... 3 1.2 SourceCoding............................................. 7 1.2.1 HuffmanCoding..................................... 8 1.2.2 ArithmeticCoding ................................... 8 1.2.3 RateDistortionTheory ............................... 11 1.3 ChannelCoding............................................ 14 1.3.1 Capacity............................................ 14 1.3.2 CodingTheorem..................................... 16 1.3.3 HammingCodes..................................... 17 1.4 JointSourceandChannelCoding ............................. 19 2 HybridVideoCoding........................................... 21 2.1 HybridCodingFramework................................... 21 2.2 TechnicalEvolution ........................................ 26 2.2.1 H.261.............................................. 26 2.2.2 MPEG-1 ........................................... 26 2.2.3 MPEG-2 ........................................... 27 2.2.4 MPEG-4 ........................................... 28 2.2.5 H.264/MPEG-4AVC................................. 28 2.2.6 HEVC ............................................. 30 2.2.7 PerformanceversusEncodingComplexity ............... 31 2.3 H.264Standard ............................................ 34 vii (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) viii Contents 2.3.1 MotionCompensation ................................ 34 2.3.2 IntraPrediction...................................... 36 2.3.3 TransformandQuantization ........................... 36 2.3.4 EntropyCoding ..................................... 37 2.3.5 DeblockingFiltering ................................. 38 2.3.6 RateDistortionOptimization .......................... 39 2.4 HEVCStandard............................................ 40 2.4.1 MotionCompensation ................................ 40 2.4.2 IntraPrediction...................................... 42 2.4.3 TransformandQuantization ........................... 43 2.4.4 SampleAdaptiveOffsetFilter.......................... 45 3 Communication................................................ 47 3.1 AnalogCommunication ..................................... 47 3.1.1 AnalogModulation .................................. 48 3.1.2 Multiplexing ........................................ 49 3.2 DigitalCommunication ..................................... 51 3.2.1 Low-DensityParity-Check(LDPC)Codes ............... 51 3.2.2 TurboCodes ........................................ 55 3.2.3 DigitalModulation................................... 60 PartII ScalableVideoCoding 4 ProgressiveFineGranularityScalable(PFGS)Coding ............. 65 4.1 Introduction ............................................... 65 4.2 FineGranularityScalableVideoCoding ....................... 66 4.3 BasicPFGSFramework ..................................... 69 4.3.1 BasicIdeastoBuildthePFGSFramework ............... 70 4.3.2 TheSimplifiedPFGSFramework....................... 72 4.4 ImprovementstothePFGSFramework ........................ 73 4.4.1 PotentialCodingInefficiencyDuetoTwoReferences...... 73 4.4.2 AMoreEfficientPFGSFramework..................... 76 4.5 ImplementationofthePFGSEncoderandDecoder .............. 79 4.6 ExperimentalResultsandAnalyses ........................... 82 4.7 SimulationofStreamingPFGSVideooverWirelessChannels ..... 85 4.8 Summary ................................................. 90 5 MotionThreadingfor3DWaveletCoding......................... 91 5.1 Introduction ............................................... 91 5.2 MotionThreading .......................................... 92 5.3 AdvancedMotionThreading ................................. 94 5.3.1 Lifting-BasedMotionThreading ....................... 94 5.3.2 Many-to-OneMappingandNon-ReferredPixels.......... 97 5.4 Multi-LayerMotionThreading ............................... 98 (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) (cid:105) Contents ix 5.5 CorrelatedMotionEstimationwithR-DOptimization ............ 101 5.5.1 DefinitionoftheModeTypes .......................... 102 5.5.2 R-DOptimizedModeDecision ........................ 104 5.6 ExperimentalResults ....................................... 105 5.6.1 CodingPerformanceComparison....................... 105 5.6.2 MacroblockModeDistribution......................... 106 5.7 Summary ................................................. 109 6 Barbell-LiftingBased3DWaveletCoding......................... 111 6.1 Introduction ............................................... 111 6.2 Barbell-LiftingCodingScheme............................... 112 6.2.1 BarbellLifting ...................................... 113 6.2.2 LayeredMotionCoding............................... 117 6.2.3 EntropyCodinginBrief .............................. 118 6.2.4 BaseLayerEmbedding ............................... 119 6.3 ComparisonswithSVC ..................................... 120 6.3.1 CodingFramework................................... 120 6.3.2 TemporalDecorrelation............................... 121 6.3.3 SpatialScalability.................................... 122 6.3.4 IntraPrediction...................................... 123 6.4 Advancesin3DWaveletVideoCoding ........................ 123 6.4.1 In-ScaleMCTF...................................... 123 6.4.2 SubbandAdaptiveMCTF ............................. 126 6.5 ExperimentalResults ....................................... 127 6.5.1 ComparisonwithMotionCompensatedEmbeddedZero BlockCoding(MC-EZBC)............................ 127 6.5.2 Comparison with Scalable Video Coding (SVC) for Signal-to-NoiseRatio(SNR)Scalability................. 129 6.5.3 ComparisonwithSVCforCombinedScalability.......... 130 6.6 Summary ................................................. 132 PartIII DirectionalTransforms 7 DirectionalWaveletTransform .................................. 135 7.1 Introduction ............................................... 135 7.2 2DWaveletTransformviaAdaptiveDirectionalLifting .......... 138 7.2.1 ADLStructure ...................................... 138 7.2.2 SubpixelInterpolation ................................ 143 7.3 R-DOptimizedSegmentationforADL ........................ 144 7.4 ExperimentalResultsandObservations ........................ 145 7.5 Summary ................................................. 152 (cid:105) (cid:105) (cid:105) (cid:105)

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