03459nam 22006015 450 991048039720332120210722011503.00-8147-0498-010.18574/9780814704981(CKB)2670000000236942(EBL)865300(OCoLC)806039164(SSID)ssj0000710949(PQKBManifestationID)11374707(PQKBTitleCode)TC0000710949(PQKBWorkID)10693389(PQKB)10607354(MiAaPQ)EBC865300(MdBmJHUP)muse19211(DE-B1597)547609(DE-B1597)9780814704981(EXLCZ)99267000000023694220200608h20122012 fg 0engurnn#---|un|utxtccrJury Decision Making The State of the Science /Dennis J. DevineNew York, NY :New York University Press,[2012]©20121 online resource (285 p.)Psychoanalytic Crossroads ;8Description based upon print version of record.0-8147-2019-6 0-8147-2018-8 Includes bibliographical references and index.Front matter --Contents --Acknowledgments --List of Abbreviations --Introduction --1. The Lay of the Empirical Land --2. Models of Juror and Jury Decision Making --3. Jury-Related Trial Practices --4. Effects of Trial Context --5. Trial Participant Characteristics --6. The Evidence --7. Deliberation --8. An Integrative Multi-Level Theory of Jury Decision Making --9. So What? Implications and Future Directions --Bibliography --Index --About the AuthorWhile jury decision making has received considerable attention from social scientists, there have been few efforts to systematically pull together all the pieces of this research. In Jury Decision Making Dennis J. Devine examines over 50 years of research on juries and offers a “big picture” overview of the field. The volume summarizes existing theories of jury decision making and identifies what we have learned about jury behavior, including the effects of specific courtroom practices, the nature of the trial, the characteristics of the participants, and the evidence itself. Making use of those foundations, Devine offers a new integrated theory of jury decision making that addresses both individual jurors and juries as a whole and discusses its ramifications for the courts. Providing a unique combination of broad scope, extensive coverage of the empirical research conducted over the last half century, and theory advancement, this accessible and engaging volume offers "one-stop shopping" for scholars, students, legal professionals, and those who simply wish to better understand how well the jury system works.Psychology and crime series.JuryUnited StatesPsychological aspectsJuryUnited StatesDecision makingElectronic books.JuryPsychological aspects.JuryDecision making.347.73/752Devine Dennis J.authttp://id.loc.gov/vocabulary/relators/aut1030999DE-B1597DE-B1597BOOK9910480397203321Jury Decision Making2448164UNINA15942nam 2200757 450 991014613670332120221206094115.01-282-12323-897866121232380-470-74064-70-470-74065-510.1002/9780470740644(CKB)1000000000719714(EBL)427962(SSID)ssj0000354884(PQKBManifestationID)11275391(PQKBTitleCode)TC0000354884(PQKBWorkID)10316219(PQKB)10269959(MiAaPQ)EBC427962(CaBNVSL)mat08039668(IDAMS)0b00006485f0d796(IEEE)8039668(CaSebORM)9780470740576(PPN)252778162(OCoLC)352839411(EXLCZ)99100000000071971420171024d2008 uy engur|n|---|||||txtccrVisual media coding and transmission /Ahmet Kondoz1st edition[Piscataqay, New Jersey] :IEEE Xplore,[2009]Chichester, U.K. :Wiley,2009.1 online resource (589 p.)Description based upon print version of record.0-470-74057-4 Includes bibliographical references and index.-- /VISNET II Researchers xiii -- Preface xv -- Glossary of Abbreviations xvii -- 1 Introduction 1 -- 2 Video Coding Principles 7 -- 2.1 Introduction 7 -- 2.2 Redundancy in Video Signals 7 -- 2.3 Fundamentals of Video Compression 8 -- 2.3.1 Video Signal Representation and Picture Structure 8 -- 2.3.2 Removing Spatial Redundancy 9 -- 2.3.3 Removing Temporal Redundancy 14 -- 2.3.4 Basic Video Codec Structure 16 -- 2.4 Advanced Video Compression Techniques 17 -- 2.4.1 Frame Types 17 -- 2.4.2 MC Accuracy 19 -- 2.4.3 MB Mode Selection 20 -- 2.4.4 Integer Transform 21 -- 2.4.5 Intra Prediction 22 -- 2.4.6 Deblocking Filters 22 -- 2.4.7 Multiple Reference Frames and Hierarchical Coding 24 -- 2.4.8 Error-Robust Video Coding 24 -- 2.5 Video Codec Standards 28 -- 2.5.1 Standardization Bodies 28 -- 2.5.2 ITU Standards 29 -- 2.5.3 MPEG Standards 29 -- 2.5.4 H.264/MPEG-4 AVC 31 -- 2.6 Assessment of Video Quality 31 -- 2.6.1 Subjective Performance Evaluation 31 -- 2.6.2 Objective Performance Evaluation 32 -- 2.7 Conclusions 35 -- References 36 -- 3 Scalable Video Coding 39 -- 3.1 Introduction 39 -- 3.1.1 Applications and Scenarios 40 -- 3.2 Overview of the State of the Art 41 -- 3.2.1 Scalable Coding Techniques 42 -- 3.2.2 Multiple Description Coding 45 -- 3.2.3 Stereoscopic 3D Video Coding 47 -- 3.3 Scalable Video Coding Techniques 48 -- 3.3.1 Scalable Coding for Shape, Texture, and Depth for 3D Video 48 -- 3.3.2 3D Wavelet Coding 68 -- 3.4 Error Robustness for Scalable Video and Image Coding 74 -- 3.4.1 Correlated Frames for Error Robustness 74 -- 3.4.2 Odd / Even Frame Multiple Description Coding for Scalable H.264/AVC 82 -- 3.4.3 Wireless JPEG 2000: JPWL 91 -- 3.4.4 JPWL Simulation Results 94 -- 3.4.5 Towards a Theoretical Approach for Optimal Unequal Error Protection 96 -- 3.5 Conclusions 98 -- References 99 -- 4 Distributed Video Coding 105 -- 4.1 Introduction 105 -- 4.1.1 The Video Codec Complexity Balance 106 -- 4.2 Distributed Source Coding 109 -- 4.2.1 The Slepian / Wolf Theorem 109.4.2.2 The Wyner / Ziv Theorem 110 -- 4.2.3 DVC Codec Architecture 111 -- 4.2.4 Input Bitstream Preparation / Quantization and Bit Plane Extraction 112 -- 4.2.5 Turbo Encoder 112 -- 4.2.6 Parity Bit Puncturer 114 -- 4.2.7 Side Information 114 -- 4.2.8 Turbo Decoder 115 -- 4.2.9 Reconstruction: Inverse Quantization 116 -- 4.2.10 Key Frame Coding 117 -- 4.3 Stopping Criteria for a Feedback Channel-based Transform Domain Wyner / Ziv Video Codec 118 -- 4.3.1 Proposed Technical Solution 118 -- 4.3.2 Performance Evaluation 120 -- 4.4 Rate-distortion Analysis of Motion-compensated Interpolation at the Decoder in Distributed Video Coding 122 -- 4.4.1 Proposed Technical Solution 122 -- 4.4.2 Performance Evaluation 126 -- 4.5 Nonlinear Quantization Technique for Distributed Video Coding 129 -- 4.5.1 Proposed Technical Solution 129 -- 4.5.2 Performance Evaluation 132 -- 4.6 Symmetric Distributed Coding of Stereo Video Sequences 134 -- 4.6.1 Proposed Technical Solution 134 -- 4.6.2 Performance Evaluation 137 -- 4.7 Studying Error-resilience Performance for a Feedback Channel-based Transform Domain Wyner / Ziv Video Codec 139 -- 4.7.1 Proposed Technical Solution 139 -- 4.7.2 Performance Evaluation 140 -- 4.8 Modeling the DVC Decoder for Error-prone Wireless Channels 144 -- 4.8.1 Proposed Technical Solution 145 -- 4.8.2 Performance Evaluation 149 -- 4.9 Error Concealment Using a DVC Approach for Video Streaming Applications 151 -- 4.9.1 Proposed Technical Solution 152 -- 4.9.2 Performance Evaluation 155 -- 4.10 Conclusions 158 -- References 159 -- 5 Non-normative Video Coding Tools 161 -- 5.1 Introduction 161 -- 5.2 Overview of the State of the Art 162 -- 5.2.1 Rate Control 162 -- 5.2.2 Error Resilience 164 -- 5.3 Rate Control Architecture for Joint MVS Encoding and Transcoding 165 -- 5.3.1 Problem Definition and Objectives 165 -- 5.3.2 Proposed Technical Solution 166 -- 5.3.3 Performance Evaluation 169 -- 5.3.4 Conclusions 171 -- 5.4 Bit Allocation and Buffer Control for MVS Encoding Rate Control 171.5.4.1 Problem Definition and Objectives 171 -- 5.4.2 Proposed Technical Approach 172 -- 5.4.3 Performance Evaluation 177 -- 5.4.4 Conclusions 179 -- 5.5 Optimal Rate Allocation for H.264/AVC Joint MVS Transcoding 179 -- 5.5.1 Problem Definition and Objectives 179 -- 5.5.2 Proposed Technical Solution 180 -- 5.5.3 Performance Evaluation 181 -- 5.5.4 Conclusions 182 -- 5.6 Spatio-temporal Scene-level Error Concealment for Segmented Video 182 -- 5.6.1 Problem Definition and Objectives 182 -- 5.6.2 Proposed Technical Solution 183 -- 5.6.3 Performance Evaluation 187 -- 5.6.4 Conclusions 188 -- 5.7 An Integrated Error-resilient Object-based Video Coding Architecture 189 -- 5.7.1 Problem Definition and Objectives 189 -- 5.7.2 Proposed Technical Solution 189 -- 5.7.3 Performance Evaluation 195 -- 5.7.4 Conclusions 195 -- 5.8 A Robust FMO Scheme for H.264/AVC Video Transcoding 195 -- 5.8.1 Problem Definition and Objectives 195 -- 5.8.2 Proposed Technical Solution 195 -- 5.8.3 Performance Evaluation 197 -- 5.8.4 Conclusions 198 -- 5.9 Conclusions 199 -- References 199 -- 6 Transform-based Multi-view Video Coding 203 -- 6.1 Introduction 203 -- 6.2 MVC Encoder Complexity Reduction using a Multi-grid Pyramidal Approach 205 -- 6.2.1 Problem Definition and Objectives 205 -- 6.2.2 Proposed Technical Solution 205 -- 6.2.3 Conclusions and Further Work 208 -- 6.3 Inter-view Prediction using Reconstructed Disparity Information 208 -- 6.3.1 Problem Definition and Objectives 208 -- 6.3.2 Proposed Technical Solution 208 -- 6.3.3 Performance Evaluation 210 -- 6.3.4 Conclusions and Further Work 211 -- 6.4 Multi-view Coding via Virtual View Generation 212 -- 6.4.1 Problem Definition and Objectives 212 -- 6.4.2 Proposed Technical Solution 212 -- 6.4.3 Performance Evaluation 215 -- 6.4.4 Conclusions and Further Work 216 -- 6.5 Low-delay Random View Access in Multi-view Coding Using a Bit Rate-adaptive Downsampling Approach 216 -- 6.5.1 Problem Definition and Objectives 216 -- 6.5.2 Proposed Technical Solution 216.6.5.3 Performance Evaluation 219 -- 6.5.4 Conclusions and Further Work 222 -- References 222 -- 7 Introduction to Multimedia Communications 225 -- 7.1 Introduction 225 -- 7.2 State of the Art: Wireless Multimedia Communications 228 -- 7.2.1 QoS in Wireless Networks 228 -- 7.2.2 Constraints on Wireless Multimedia Communications 231 -- 7.2.3 Multimedia Compression Technologies 234 -- 7.2.4 Multimedia Transmission Issues in Wireless Networks 235 -- 7.2.5 Resource Management Strategy in Wireless Multimedia Communications 239 -- 7.3 Conclusions 244 -- References 244 -- 8 Wireless Channel Models 247 -- 8.1 Introduction 247 -- 8.2 GPRS/EGPRS Channel Simulator 247 -- 8.2.1 GSM/EDGE Radio Access Network (GERAN) 247 -- 8.2.2 GPRS Physical Link Layer Model Description 250 -- 8.2.3 EGPRS Physical Link Layer Model Description 252 -- 8.2.4 GPRS Physical Link Layer Simulator 256 -- 8.2.5 EGPRS Physical Link Layer Simulator 261 -- 8.2.6 E/GPRS Radio Interface Data Flow Model 268 -- 8.2.7 Real-time GERAN Emulator 270 -- 8.2.8 Conclusion 271 -- 8.3 UMTS Channel Simulator 272 -- 8.3.1 UMTS Terrestrial Radio Access Network (UTRAN) 272 -- 8.3.2 UMTS Physical Link Layer Model Description 279 -- 8.3.3 Model Verification for Forward Link 290 -- 8.3.4 UMTS Physical Link Layer Simulator 298 -- 8.3.5 Performance Enhancement Techniques 307 -- 8.3.6 UMTS Radio Interface Data Flow Model 309 -- 8.3.7 Real-time UTRAN Emulator 312 -- 8.3.8 Conclusion 313 -- 8.4 WiMAX IEEE 802.16e Modeling 316 -- 8.4.1 Introduction 316 -- 8.4.2 WIMAX System Description 317 -- 8.4.3 Physical Layer Simulation Results and Analysis 323 -- 8.4.4 Error Pattern Files Generation 324 -- 8.5 Conclusions 328 -- 8.6 Appendix: Eb/No and DPCH_Ec/Io Calculation 329 -- References 330 -- 9 Enhancement Schemes for Multimedia Transmission over Wireless Networks 333 -- 9.1 Introduction 333 -- 9.1.1 3G Real-time Audiovisual Requirements 333 -- 9.1.2 Video Transmission over Mobile Communication Systems 335 -- 9.1.3 Circuit-switched Bearers 339.9.1.4 Packet-switched Bearers 348 -- 9.1.5 Video Communications over GPRS 350 -- 9.1.6 GPRS Traffic Capacity 351 -- 9.1.7 Error Performance 354 -- 9.1.8 Video Communications over EGPRS 357 -- 9.1.9 Traffic Characteristics 357 -- 9.1.10 Error Performance 358 -- 9.1.11 Voice Communication over Mobile Channels 359 -- 9.1.12 Support of Voice over UMTS Networks 360 -- 9.1.13 Error-free Performance 361 -- 9.1.14 Error-prone Performance 362 -- 9.1.15 Support of Voice over GPRS Networks 362 -- 9.1.16 Conclusion 363 -- 9.2 Link-level Quality Adaptation Techniques 365 -- 9.2.1 Performance Modeling 365 -- 9.2.2 Probability Calculation 367 -- 9.2.3 Distortion Modeling 368 -- 9.2.4 Propagation Loss Modeling 368 -- 9.2.5 Energy-optimized UEP Scheme 369 -- 9.2.6 Simulation Setup 370 -- 9.2.7 Performance Analysis 372 -- 9.2.8 Conclusion 373 -- 9.3 Link Adaptation for Video Services 373 -- 9.3.1 Time-varying Channel Model Design 374 -- 9.3.2 Link Adaptation for Real-time Video Communications 379 -- 9.3.3 Link Adaptation for Streaming Video Communications 389 -- 9.3.4 Link Adaptation for UMTS 396 -- 9.3.5 Conclusion 402 -- 9.4 User-centric Radio Resource Management in UTRAN 403 -- 9.4.1 Enhanced Call-admission Control Scheme 403 -- 9.4.2 Implementation of UTRAN System-level Simulator 403 -- 9.4.3 Performance Evaluation of Enhanced CAC Scheme 410 -- 9.5 Conclusions 411 -- References 413 -- 10 Quality Optimization for Cross-network Media Communications 417 -- 10.1 Introduction 417 -- 10.2 Generic Inter-networked QoS-optimization Infrastructure 418 -- 10.2.1 State of the Art 418 -- 10.2.2 Generic of QoS for Heterogeneous Networks 420 -- 10.3 Implementation of a QoS-optimized Inter-networked Emulator 422 -- 10.3.1 Emulation System Physical Link Layer Simulation 426 -- 10.3.2 Emulation System Transmitter/Receiver Unit 428 -- 10.3.3 QoS Mapping Architecture 428 -- 10.3.4 General User Interface 438 -- 10.4 Performances of Video Transmission in Inter-networked Systems 442 -- 10.4.1 Experimental Setup 442.10.4.2 Test for the EDGE System 443 -- 10.4.3 Test for the UMTS System 445 -- 10.4.4 Tests for the EDGE-to-UMTS System 445 -- 10.5 Conclusions 452 -- References 453 -- 11 Context-based Visual Media Content Adaptation 455 -- 11.1 Introduction 455 -- 11.2 Overview of the State of the Art in Context-aware Content Adaptation 457 -- 11.2.1 Recent Developments in Context-aware Systems 457 -- 11.2.2 Standardization Efforts on Contextual Information for Content Adaptation 467 -- 11.3 Other Standardization Efforts by the IETF and W3C 476 -- 11.4 Summary of Standardization Activities 479 -- 11.4.1 Integrating Digital Rights Management (DRM) with Adaptation 480 -- 11.4.2 Existing DRM Initiatives 480 -- 11.4.3 The New ''Adaptation Authorization'' Concept 481 -- 11.4.4 Adaptation Decision 482 -- 11.4.5 Context-based Content Adaptation 488 -- 11.5 Generation of Contextual Information and Profiling 492 -- 11.5.1 Types and Representations of Contextual Information 492 -- 11.5.2 Context Providers and Profiling 494 -- 11.5.3 User Privacy 497 -- 11.5.4 Generation of Contextual Information 498 -- 11.6 The Application Scenario for Context-based Adaptation of Governed Media Contents 499 -- 11.6.1 Virtual Classroom Application Scenario 500 -- 11.6.2 Mechanisms using Contextual Information in a Virtual Collaboration Application 502 -- 11.6.3 Ontologies in Context-aware Content Adaptation 503 -- 11.6.4 System Architecture of a Scalable Platform for Context-aware and DRM-enabled Content Adaptation 504 -- 11.6.5 Context Providers 507 -- 11.6.6 Adaptation Decision Engine 510 -- 11.6.7 Adaptation Authorization 514 -- 11.6.8 Adaptation Engines Stack 517 -- 11.6.9 Interfaces between Modules of the Content Adaptation Platform 544 -- 11.7 Conclusions 552 -- References 553 -- Index 559.This book presents the state-of-the-art in visual media coding and transmission Visual Media Coding and Transmission Transmission is an output of VISNET II NoE, which is an EC IST-FP6 collaborative research project by twelve esteemed institutions from across Europe in the fields of networked audiovisual systems and home platforms. The authors provide information that will be essential for the future study and development of visual media communications technologies. The book contains details of video coding principles, which lead to advanced video coding developments in the form of Scalable Coding, Distributed Video Coding, Non-Normative Video Coding Tools and Transform Based Multi-View Coding. Having detailed the latest work in Visual Media Coding, networking aspects of Video Communication is detailed. Various Wireless Channel Models are presented to form the basis for both link level quality of service (QoS) and cross network transmission of compressed visual data. Finally, Context-Based Visual Media Content Adaptation is discussed with some examples. Key Features: . Contains the latest advances in this important field covered by VISNET II NoE . Addresses the latest multimedia signal processing and coding algorithms . Covers all important advance video coding techniques, scalable and multiple description coding, distributed video coding and non-normative tools . Discusses visual media networking with various wireless channel models . QoS methods by way of link adaptation techniques are detailed with examples . Presents a visual media content adaptation platform, which is both context aware and digital rights management enabled . Contains contributions from highly respected academic and industrial organizations Visual Media Coding and Transmission will benefit researchers and engineers in the wireless communications and signal processing fields. It will also be of interest to graduate and PhD students on media processing, coding and communications courses.Multimedia communicationsVideo compressionCoding theoryData transmission systemsMultimedia communications.Video compression.Coding theory.Data transmission systems.621.382/1621.3821Kondoz A. M.(Ahmet M.)921202CaBNVSLCaBNVSLCaBNVSLBOOK9910146136703321Visual media coding and transmission2066254UNINA02596nam 2200409 450 99654337260331620231124213536.03-487-42366-910.5771/9783487423661(CKB)5840000000270705(NjHacI)995840000000270705(EXLCZ)99584000000027070520231124d2023 uy 0gerur|||||||||||txtrdacontentcrdamediacrrdacarrierUnerhörte Klänge zur performativen Analyse und Wahrnehmung posttonaler Musik und ihren historischen Voraussetzungen /Christian UtzBaden-Baden :Georg Olms Verlag,2023.1 online resource (490 pages) illustrationsStudien und Materialien zur Musikwissenschaft,0176-0033 ;Band 1253-487-16330-6 Includes bibliographical references (pages 433-478) and index.Das Buch versucht ein in der Musik des 20. und 21. Jahrhunderts zunehmend an Bedeutung gewinnendes Verständnis von "Musik als Wahrnehmungskunst" (Helmut Lachenmann) für die Musikwissenschaft fruchtbar zu machen: Die ineinander verschränkten Konzepte der performativen Analyse und des performativen Hörens rücken Wahrnehmungsprozesse ins Zentrum musikologischer Methodik. Zum einen wird dabei die zentrale Stellung von Klang, Zeit und Raum in der neuen Musik seit 1900 in breite musikhistorische und -ästhetische Diskurse eingebettet, zum anderen wird mit dem Prinzip der musikalischen Morphosyntax klangliche Materialität als Ausgangspunkt hörend-analytischer Aktivität begriffen. Wahrnehmung posttonaler Musik ist als performative Aktivität durch die Erfahrungen des Alltags- und Musikhörens vielfältig ausgestaltbar und dabei durch eine Verflechtung von morphologischen und metaphorischen Schichten geprägt. Die Analysen werfen so neue Perspektiven auf ein breites Spektrum posttonaler Instrumentalmusik von Arnold Schönberg, Edgard Varèse, Giacinto Scelsi, Bernd Alois Zimmermann, György Ligeti, Pierre Boulez, Morton Feldman, György Kurtág, Helmut Lachenmann, Brian Ferneyhough, Gérard Grisey, Salvatore Sciarrino und Isabel Mundry.Music appreciationMusical analysisMusic appreciation.Musical analysis.780.15Utz Christian970257NjHacINjHaclBOOK996543372603316Unerhörte Klänge3601977UNISA00914nam0-2200277 --450 991077629790332120240125083227.020240123d1911----kmuy0itay5050 baengGBa 001yy<<A >>monograph of the Mycetozoaa descriptive catalogue of the species in the herbarium of the British Museumby Arthur Lister2. ed.revised by Gulielma ListerLondonprinted by order of the trustees of the British Museum1911302 p., <101> c. di tav.ill. color.23 cm.Organismi58919itaLister,Arthur1497651Lister,GulielmaITUNINAREICATUNIMARCBK9910776297903321A PAT 788569/2024FAGBCFAGBCMonograph of the Mycetozoa3722871UNINA