Image Processing and Communications: Techniques, Algorithms and Applications (Advances in Intelligent Systems and Computing Book 1062) 🔍
Choras M., Choras R.S (ed.) Springer International Publishing : Imprint: Springer, Advances in intelligent systems and computing, 1062, 1st ed. 2020, Cham, 2020
英语 [en] · PDF · 9.2MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
"This book presents a selection of high-quality peer-reviewed research papers on various aspects of computer science and networks. It not only discusses emerging applications of currently available solutions, but also outlines potential future techniques and lines of research in pattern recognition, image processing and communications. Given its scope, the book will be of considerable interest to researchers, students and practitioners alike. All papers gathered here were presented at the Image Processing and Communications Conference, held in Bydgoszcz, Poland on September 11-13, 2019." - Prové de l'editor
备用文件名
lgrsnf/N:\!genesis_files_for_add\_add\kolxo3\93\Cs_Computer science\CsIp_Image processing\Choras M., Choras R.S. (eds.) Image processing and communications (Springer, 2020)(ISBN 9783030312534)(O)(337s)_CsIp_.pdf
备用文件名
lgli/Cs_Computer science/CsIp_Image processing/Choras M., Choras R.S. (eds.) Image processing and communications (Springer, 2020)(ISBN 9783030312534)(O)(337s)_CsIp_.pdf
备用文件名
nexusstc/Image processing and communications/bf17a0253b911153588a52e784dd0586.pdf
备用文件名
zlib/Computers/Computer Science/Choras M., Choras R.S (ed.)/Image processing and communications_6041835.pdf
备选作者
Michał Choraś; Ryszard S Choraś; Image Processing and Communications Conference
备选作者
Michał Choraś; Ryszard S Choraś; SpringerLink (Online service)
备选作者
International Conference on Image Processing and Communications
备选作者
Choraś, Michał; Choraś, Ryszard S.
备用出版商
Springer Nature Switzerland AG
备用版本
Advances in intelligent systems and computing, v. 1062, Cham, 2020
备用版本
Advances in Intelligent Systems and Computing, 2019
备用版本
1st ed, Place of publication not identified, 2020
备用版本
Springer Nature, Cham, 2019
备用版本
Switzerland, Switzerland
备用版本
1st ed. 2020, 2019
备用版本
Sep 10, 2019
元数据中的注释
kolxo3 -- 93
元数据中的注释
lg2806576
元数据中的注释
{"isbns":["3030312534","3030312542","9783030312534","9783030312541"],"last_page":337,"publisher":"Springer"}
元数据中的注释
Source title: Image Processing and Communications: Techniques, Algorithms and Applications (Advances in Intelligent Systems and Computing)
备用描述
Preface......Page 6
International Program Committee......Page 7
Organizing Committee......Page 8
Contents......Page 9
Image Processing and Communications......Page 13
1 Introduction......Page 14
References......Page 15
1 Introduction......Page 17
2.1 System Implementation......Page 18
2.2 Head Rotation Calculation......Page 19
2.3 Interpretation of Head Motions and Remote Navigation......Page 21
3 Results......Page 22
References......Page 23
1 Introduction......Page 25
2.1 Databases and Research Methods......Page 27
3 Results......Page 28
4 Discussion......Page 30
References......Page 31
1 Introduction......Page 33
2.1 Assumptions......Page 34
3.2 Face and Eyes Detection......Page 35
3.3 Eyes State Estimation......Page 36
4.1 Dataset......Page 37
4.3 Results......Page 38
References......Page 39
1 Introduction......Page 41
2 Related Work Review......Page 42
4.1 Presentation Attack Detection Methods......Page 43
5 Experiments and Results......Page 46
6 Conclusions......Page 49
References......Page 50
1 Introduction......Page 52
2 Related Works......Page 53
3 Gaze-Driven Ray-Cast Interface Concept......Page 54
4 Implementation and Application......Page 55
5 Evaluations......Page 56
References......Page 58
1 Introduction......Page 60
2 Boosting Algorithms......Page 61
3 Modified Score Function......Page 62
4 Experiments......Page 63
5 Conclusions......Page 64
References......Page 67
1 Introduction......Page 68
2 Modified Color Transfer Transformation......Page 69
3 Nuclei Detection......Page 70
4 Conclusions......Page 71
References......Page 73
1 Introduction......Page 76
2 Distributive Lattice of Minimal Edge st-Cuts of an Oriented Graph......Page 77
3 Algorithm for Enumeration of Minimal Edge st-Cuts of a Graph in a Distributive Lattice of Minimum Cuts......Page 78
4 Enumeration of Quasiminimal st-Cuts of an Oriented Graph......Page 80
5 Example......Page 81
6 Conclusions and Future Work......Page 82
References......Page 83
1 Introduction......Page 84
2 The Establishment of the Maximum Number of Uses of the Edges of Reference Graphs in Minimum Length Paths......Page 88
3 Summary and Conclusions......Page 91
References......Page 92
1 Introduction......Page 93
2.1 Classifier Selection......Page 94
2.2 Imbalanced Data Classification......Page 96
3 Proposed Algorithm......Page 97
4.1 Set-Up......Page 98
4.2 Result Analysis......Page 99
References......Page 101
1 Introduction......Page 103
3 Methods......Page 104
4 Results......Page 107
References......Page 110
1 Introduction......Page 112
2 Heart Rate Monitoring......Page 113
3 Experiment......Page 114
4 Summary......Page 115
References......Page 117
1 Introduction......Page 119
3 General Concept......Page 120
4 Initial Analaysis......Page 121
4.2 Deep Learning......Page 122
References......Page 124
1 Introduction......Page 125
2 Background......Page 126
3.1 The STERIO Data Set......Page 128
3.2 Sterio Reconstruction Tool......Page 129
4 Experiments......Page 130
5 Conclusion and Future Work......Page 133
References......Page 134
1 Introduction......Page 136
3.1 Shape Descriptors......Page 138
3.2 Shape Similarity Calculation......Page 140
3.3 Experimental Verification......Page 141
References......Page 143
1 Introduction......Page 145
2 Preprocess Description......Page 146
3 Test Architecture and Test Variants......Page 147
4 Results......Page 148
5 Conclusions......Page 149
References......Page 151
1 Introduction......Page 153
3.1 Long Short-Term Memory and GRU......Page 154
4.1 Dataset......Page 155
4.3 Evaluation Metrics......Page 156
5 Results......Page 157
References......Page 158
1 Introduction......Page 160
2 Related Work......Page 161
3.1 Software Description......Page 162
3.2 Database Assumptions......Page 164
4 Experiments and Obtained Results......Page 165
References......Page 167
1 Introduction......Page 169
2.1 Direct Light......Page 170
2.2 Indirect Light......Page 171
3 Experiment......Page 172
References......Page 175
1 Introduction......Page 177
3.1 Gaussian Noise......Page 179
3.2 Quantization Noise......Page 180
4.1 Experimental Set-Up......Page 181
4.3 Applying Denoising Prior to Classification......Page 183
4.4 Handling Unknown Distortion Level......Page 185
5 Conclusions......Page 187
References......Page 188
Information and Communication Technology Forum 2019......Page 190
1 Introduction......Page 191
2 Previous Scheme......Page 193
3 Proposed Scheme......Page 194
3.2 Ranking Procedure......Page 195
4.1 Detection Accuracy......Page 196
5 Conclusion......Page 197
References......Page 198
1 Introduction......Page 199
3 The Simulation Environment......Page 201
4 Simulation Results......Page 203
5 Conclusion......Page 205
References......Page 206
1 Introduction......Page 207
2.1 Methods......Page 209
3 Results......Page 212
4 Discussion and Summary......Page 213
References......Page 214
1 Introduction......Page 216
2.1 The Binary Heisenberg-Weyl Group......Page 217
3.1 Texture Descriptor Based on Weyl Transform......Page 218
3.2 Combined Features for Multibeam Sonar Image......Page 219
4.1 Dataset......Page 220
4.2 Results......Page 221
5 Conclusion......Page 222
References......Page 223
1 Introduction......Page 224
2 Preliminaries......Page 225
3 Proposed Method......Page 226
4.1 Robustness to Noise......Page 228
4.2 Robustness to Missing Data......Page 229
References......Page 230
1 Introduction......Page 232
2.1 PDF of Product of Three Rayleigh RVs......Page 233
2.3 Outage Probability of Product of Three Rayleigh RVs......Page 235
3.1 LCR of Product of Three Rayleigh RVs......Page 236
3.2 AFD of Product of Three Rayleigh RVs......Page 237
4 Conclusion......Page 238
References......Page 239
1 Introduction......Page 241
2 Routing Protocols......Page 242
3 Simulaton Study......Page 243
4 Simulation Results......Page 244
References......Page 247
1 Introduction......Page 249
2 Review of the Two-Link System for Single-Rate Traffic......Page 251
3 The Proposed Model......Page 254
4 Numerical Examples – Evaluation......Page 256
References......Page 259
1 Introduction......Page 262
2 Review of the P-S Model......Page 264
3 A Recursive Formula for the Determination of Performance Metrics......Page 265
4 Review of the P-S Model Under the MFCR Policy......Page 266
5 The P-S Model Under the BR Policy......Page 267
6 Evaluation......Page 268
References......Page 271
1 Introduction......Page 274
2.1 Traffic Sources in Industrial Networks......Page 275
2.2 Time-Triggered Traffic......Page 276
2.3 Audio-Video Bridging Traffic......Page 277
3 Proposed ON/OFF Models......Page 278
3.1 Models......Page 279
4 Types of Traffic in Industrial Networks......Page 280
References......Page 281
2 Analytical Model of the Switching Network......Page 282
3 Multicast Connections......Page 284
4 Numerical Evaluation......Page 285
References......Page 288
1 Introduction......Page 289
3 State-Dependent Systems......Page 291
4 Complex Non-Full-Availability System......Page 292
4.3 Analytical Model of a Complex Non-Full-Availability System......Page 293
5 Numerical Examples......Page 294
6 Conclusions......Page 295
References......Page 296
1 Introduction......Page 297
2 Model of a Server with Elastic and Stream Traffic......Page 298
3 Numerical Example......Page 302
References......Page 303
1 Introduction......Page 305
2.1 Distribution of Resources......Page 306
2.2 Services Without Real-Time Constraint......Page 307
3.1 Autonomous Vehicle Control Slice......Page 309
3.2 Media on Demand Slice......Page 310
References......Page 311
1 Introduction......Page 313
2.2 Non-Full-Availability Subsystem......Page 314
3 Simulator of a Complex Non-Full-Availability System......Page 315
4 Exemplary Results......Page 316
5 Summary......Page 319
References......Page 320
1 Introduction......Page 321
2 Problem Formulation......Page 322
3 Simulation Study......Page 323
4 Simulation Results......Page 324
5 Conclusions and Future Work......Page 325
References......Page 326
1 On V2X Communications for Autonomous Driving......Page 328
2 Implementation Issues......Page 330
3 Role of Sensor for Wireless Communications in Platoons......Page 331
4 Wireless Communication System - Challenges......Page 332
4.2 Context Information Databases......Page 333
5 Conclusions......Page 334
References......Page 335
Author Index......Page 336
开源日期
2020-10-11
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