LEADER 06128nam 22007695 450 001 9910254210603321 005 20251230060804.0 010 $a3-319-23814-0 024 7 $a10.1007/978-3-319-23814-2 035 $a(CKB)3710000000492456 035 $a(EBL)4178557 035 $a(SSID)ssj0001584646 035 $a(PQKBManifestationID)16265227 035 $a(PQKBTitleCode)TC0001584646 035 $a(PQKBWorkID)14864710 035 $a(PQKB)10622732 035 $a(DE-He213)978-3-319-23814-2 035 $a(MiAaPQ)EBC4178557 035 $a(PPN)190525207 035 $a(EXLCZ)993710000000492456 100 $a20151014d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aImage Processing and Communications Challenges 7 /$fedited by Ryszard S. Chora? 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (305 p.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v389 300 $a"This book contain papers accepted for IP&C 2015, the International Conference on Image Processing and Communications, held at UTP University of Science and Technology, Bydgoszcz, Poland, September 9 - 11, 2015." 311 08$a3-319-23813-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPreface; Contents; Part I Image Processing ; Classifier Selection Uses Decision Profiles in Binary Classification Task; 1 Introduction; 2 Ensemble of Classifiers; 3 Proposal Selection Methods of a Posteriori Probability Estimations; 3.1 Algorithm with the Use of Average; 3.2 Algorithm with the Use of Average and Standard Deviation; 4 Experimental Studies; 5 Conclusion; References; 2DHMM-Based Face Recognition Method; 1 Introduction; 2 Propose Method; 2.1 Pre-processing Procedure; 2.2 Features Extraction; 2.3 2D HMM; 3 Experiment; 4 Conclusion; References 327 $aCorner Detection Based on Directional Gradients---Comparative Study1 Introduction; 2 Classic Corner Detectors; 3 Modifications of Classic Scheme; 4 Tests; 4.1 Methodology of Testing; 4.2 Results; 5 Conclusions; References; Sensor Fusion Enhancement for Mobile Positioning Systems; 1 Introduction; 2 Related Works; 3 Background Theory; 4 Measurement Results; 5 Conclusions; References; Thermal Face Recognition; 1 Introduction; 2 Image Acquisition; 3 Image Preprocessing; 4 Texture Feature; 5 Conclusions; References 327 $aFeature Reduction Using Similarity Measure in Object Detector Learning with Haar-Like Features1 Introduction; 2 The Object Detector Training; 2.1 Features; 2.2 The AdaBoost Algorithm; 2.3 The Classifier Cascade Learning; 3 Feature Reduction; 3.1 Related Works; 3.2 Methods Based on a Subset of the Best Features from First Weak Classifier Building Step in Cascade Layer; 3.3 Methods Based on Features Similarity Measures; 4 Experiments and Results; 5 Conclusions; References; Assessment of the Brain Coverage Ratio in the Postoperative Craniosynostosis Based on 3D CT Scans; 1 Introduction 327 $a2 The Proposed Approach2.1 Preprocessing; 2.2 Brain Segmentation; 2.3 Determination of Brain Coverage Ratio (BCR); 3 Results; 4 Conclusions; References; Combined Imaging System for Taking Facial Portraits in Visible and Thermal Spectra; 1 Introduction; 1.1 Existing Databases; 2 Capture System; 3 Data Acquisition; 3.1 Operating Procedure; 3.2 Data Structure; 4 Summary; References; The PUT Surveillance Database; 1 Introduction; 2 Review of Existing Solutions; 3 Acquisition Procedure; 4 Additional Data; 5 Potential Applications of the Database; 6 Conclusions and Future Work 327 $a7 Obtaining the DatabaseReferences; Applying Image Features and AdaBoost Classification for Vehicle Detection in the `SM4Public' System; 1 Introduction; 2 The Description of the Applied Approaches; 3 Experimental Conditions and Results; 4 Summary and Conclusions; References; Automatic Analysis of Vehicle Trajectory Applied to Visual Surveillance; 1 Introduction; 2 Vision-Based ITS Solutions; 3 Trajectory Analysis and Its Potential Use; 4 The Proposed Algorithm; 5 Evaluation and Application in the `SM4Public' Project; 6 Conclusions; References 327 $aAlgorithmically Optimized AVC Video Encoder with Parallel Processing of Data 330 $aThis book contains papers accepted for IP&C 2015, the International Conference on Image Processing and Communications, held at UTP University of Science and Technology, Bydgoszcz, Poland, September 9-11, 2015. This conference was the eighth edition in the IP&C series of annual conferences. This book and the conference have the aim to bring together researchers and scientists in the broad fields of image processing and communications, addressing recent advances in theory, methodology and applications. The book will be of interest to a large group of researchers, engineers and practitioners in image processing and communications. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v389 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aSignal processing 606 $aTelecommunication 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aSignal, Speech and Image Processing 606 $aCommunications Engineering, Networks 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aSignal processing. 615 0$aTelecommunication. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aSignal, Speech and Image Processing. 615 24$aCommunications Engineering, Networks. 676 $a621.367 702 $aChora?$b Ryszard S$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254210603321 996 $aImage Processing and Communications Challenges 7$91542832 997 $aUNINA