11074nam 2200541 450 99646439150331620220721191321.03-030-89131-3(CKB)5470000001298837(MiAaPQ)EBC6796407(Au-PeEL)EBL6796407(OCoLC)1283844064(PPN)258296305(EXLCZ)99547000000129883720220721d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputer analysis of images and patterns19th international conference, CAIP 2021, virtual event, September 28-30, 2021, proceedingsPart II. /Nicolas Tsapatsoulis [and five others] editorsCham, Switzerland :Springer,[2021]©20211 online resource (457 pages)Lecture Notes in Computer Science ;130533-030-89130-5 Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning -- Deep Learning Based Automated Vickers Hardness Measurement -- 1 Introduction and Related Work -- 2 Methodology -- 2.1 Indentation Segmentation Using Convolutional Neural Network -- 2.2 Edge Extraction and Initial Indention Vertex Position Estimation -- 2.3 Precision Improvement -- 3 Experimental Framework -- 4 Experiments and Results -- 5 Conclusion -- References -- ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch -- 1 Introduction -- 2 Related Work -- 3 ElasticHash -- 3.1 Deep Hashing Model -- 3.2 Integration into ES -- 4 Experimental Evaluation -- 4.1 Results -- 5 Conclusion -- References -- Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Multi Filter Multi-scale Deep Convolutional Neural Network -- 3.2 Siamese Neural Network -- 3.3 Generation of Change Detection Maps -- 4 Experimental Setup -- 4.1 Datasets' Description -- 4.2 Model Adaptation and Parameter Setting -- 5 Results -- 5.1 Ablation Analysis of the Proposed Model -- 6 Conclusions -- References -- AMI-Class: Towards a Fully Automated Multi-view Image Classifier -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Notations -- 2.2 MVE Component -- 2.3 Multi-view CASH Solver AMI -- 3 Experiments and Results -- 3.1 MVE Component Validation -- 3.2 CASH Solver Validation -- 4 Conclusion and Discussion -- References -- How Realistic Should Synthetic Images Be for Training Crowd Counting Models? -- 1 Introduction -- 2 Related Work -- 3 Motivations and Goal of This Work -- 4 Synthetic Image Generation -- 5 Experimental Evaluation -- 5.1 Data Sets -- 5.2 Experimental Set-Up -- 5.3 Results -- 6 Conclusions -- References.Unsupervised Recognition of the Logical Structure of Business Documents Based on Spatial Relationships -- 1 Introduction and Context -- 2 State of the Art -- 3 Proposal -- 4 Spatial Contexts -- 4.1 Metadata to Captions Spatial Context (MCSC) -- 4.2 Metadata to Metadata Spatial Context (MMSC) -- 5 Voting and Detection Stages -- 5.1 Voting by Using Metadata Position -- 5.2 Voting by Using the Metadata to Captions Spatial Context -- 5.3 Voting by Using the Metadata Format -- 5.4 Voting by Using the MMSC -- 5.5 Detection Stage -- 6 Results -- 7 Conclusion -- References -- Feature Extraction -- The Method for Adaptive Material Classification and Pseudo-Coloring of the Baggage X-Ray Images -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Method Overview -- 3.2 Algorithm -- 3.3 Pseudo-Coloring -- 3.4 Evaluation Metrics -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Sampling of Non-flat Morphology for Grey Value Images -- 1 Introduction -- 2 Fundamental Morphological Operations -- 2.1 Morphological Notions for Binary Images -- 2.2 Morphological Notions for Grey Scale Images -- 3 New Extensions -- 3.1 Operating on Grey Scale Images in the Sampled Domain -- 4 Conclusion -- References -- A Multi-scale Line Feature Detection Using Second Order Semi-Gaussian Filters -- 1 Introduction -- 2 Multi-scale Ridge Extraction: Related Works -- 2.1 Isotropic Filters -- 2.2 Oriented Filters for Line Feature Detection -- 3 Second-Derivative of a Semi-Gaussian Filter (SDSG) -- 3.1 Concept of the SDSG -- 3.2 Scale Fusion of the SDSG -- 4 Experimental Results and Evaluation -- 5 Conclusion -- References -- Experimental Analysis of Appearance Maps as Descriptor Manifolds Approximations -- 1 Introduction -- 2 Methodology -- 2.1 Appearance Map -- 2.2 Global Descriptor -- 2.3 Metrics -- 2.4 Evaluated Estimation Approaches -- 3 Experiments.3.1 Approximation Accuracy of the Descriptor Manifold -- 3.2 Proof of Concept: The Image Gradient and the Descriptor Variation -- 3.3 Use Case: Image Derivative-Based Indicator for Appearance Maps -- 4 Conclusion -- References -- Building Hierarchical Tree Representations Using Homological-Based Tools -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Generation of the CAdjF, and *-trees -- 5 Conclusions, Applications and Future Research -- References -- Face Verification in Practice: The Case of Greek Artist Leonidas Arniotis -- 1 Introduction -- 2 Problem Statement -- 3 Methodology -- 3.1 Transfer Learning -- 3.2 Facial Points Matching -- 4 Results -- 5 Conclusion -- A Python Code -- References -- Object Recognition -- Spatio-Temporal Object Detection from UAV On-Board Cameras -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Short-Term Feature Aggregation -- 3.2 Long-Term Feature Aggregation -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusions -- References -- Automatic Watermeter Reading in Presence of Highly Deformed Digits -- 1 Introduction -- 2 Construction of Our Data Set -- 3 Data Set Preparation -- 4 Deep Learning Schemes -- 4.1 The CRNN Approach -- 4.2 The FCSRN Approach -- 5 The Connectionist Temporal Classification -- 6 Results -- 7 Conclusion -- References -- HR-Crime: Human-Related Anomaly Detection in Surveillance Videos -- 1 Introduction -- 2 HR-Crime Dataset -- 2.1 HR-Crime Statistics -- 2.2 Feature Extraction -- 3 Experiments -- 3.1 Datasets -- 3.2 Results and Discussion -- 4 Conclusion -- References -- Sequence-Based Recognition of License Plates with Severe Out-of-Distribution Degradations -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 CRNN Architecture -- 3.2 Generation of Synthetic Data Sets -- 3.3 Training Set Degradations -- 3.4 Test Set Degradations.4 Evaluation -- 4.1 Robustness Testing on Synthetic Out-of-Distribution Data -- 4.2 Performance on Real World Data -- 5 Discussion -- 6 Conclusion -- References -- Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics -- 1 Introduction -- 2 Method Overview -- 2.1 Motion-Guided Propagation Model -- 2.2 Correspondence Step and Region Proposal -- 2.3 Bayesian Filtering over Object Class Labels -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Evaluation Metrics -- 3.3 Implementation Details -- 3.4 Experimental Results -- 4 Conclusions and Future Work -- References -- Face and Gesture -- A Study of General Data Improvement for Large-Angle Head Pose Estimation -- 1 Introduction -- 2 Related Work -- 2.1 Datasets -- 2.2 Networks -- 2.3 Evaluation -- 3 Optimizing Data Distribution by Conversion of Rotation Orders -- 3.1 Disadvantages of Traditional Pitch-Yaw-Roll Order -- 3.2 Study on Different Rotation Orders -- 3.3 Results of Optimizing Data Distribution -- 4 Data Enhancement by Random Rotation -- 4.1 Data Missing for Rare Poses -- 4.2 Solution to the Head Pose of the Rotated Image -- 4.3 Results of Data Enhancement -- 5 Conclusion -- References -- Knight Tour Patterns: Novel Handcrafted Feature Descriptors for Facial Expression Recognition -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Knight's Tour -- 3.2 kTP Feature Extraction -- 3.3 KTP Feature Extraction -- 4 Experimental Analysis -- 5 Conclusion and Future Work -- References -- Exploiting Visual Context to Identify People in TV Programs -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Motivation -- 3.2 Dataset Structure -- 4 Visual Context Metric Learning -- 4.1 Triplet Formation -- 4.2 Model Learning -- 5 Experimental Evaluation -- 5.1 Visual Context Metric Evaluation -- 5.2 Evaluation on a Face Verification Task of Doppelgangers.6 Qualitative Results -- 7 Conclusion -- References -- Foreground-Guided Facial Inpainting with Fidelity Preservation -- 1 Introduction -- 2 Related Work -- 2.1 Foreground Facial Inpainting Framework -- 3 Architecture -- 3.1 Loss Function -- 4 Training and Experiments -- 4.1 Datasets -- 4.2 Method Comparison -- 4.3 Implementation -- 5 Results and Discussion -- 5.1 Quantitative Results -- 5.2 Qualitative Results -- 5.3 Semantic Inpainting with Fidelity Preservation -- 6 Conclusion -- References -- Talking Detection in Collaborative Learning Environments -- 1 Introduction -- 2 Methodology -- 3 Results -- 3.1 Head Detection System Results -- 3.2 Head Video Region Classification Results -- 3.3 Talking Activity Detection System -- 4 Conclusion -- References -- Facial Recognition in Collaborative Learning Videos -- 1 Introduction -- 2 Methods -- 2.1 Computation of Face Prototypes -- 2.2 Video Faces Recognizer -- 3 Results -- 4 Conclusion -- References -- Guess the Age Contest -- Guess the Age 2021: Age Estimation from Facial Images with Deep Convolutional Neural Networks -- 1 Introduction -- 2 Contest Task -- 3 Methods -- 4 Evaluation Metrics -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Face Detection -- 3.2 Age Estimation -- 4 Experiment -- 4.1 Datasets and Setting -- 4.2 Metrics -- 4.3 Results -- 5 Conclusion -- References -- Single View Facial Age Estimation Using Deep Learning with Cascaded Random Forests -- 1 Introduction -- 2 Deep Learning Methods for Age Estimation -- 2.1 Pre-processing -- 2.2 ResNeXt CNN -- 2.3 Two-Layer Random Forest (TLRF) -- 2.4 Training the Deep Architectures -- 3 Experimental Results -- 3.1 ResNeXt -- 3.2 Two-Layer Random Forest (TLRF).3.3 Generalizability Performance Using the Withheld GTA Data.Lecture notes in computer science ;13053.Image processingDigital techniquesCongressesComputer visionCongressesPattern recognition systemsCongressesImage processingDigital techniquesComputer visionPattern recognition systems621.367Tsapatsoulis Nicolas1969-MiAaPQMiAaPQMiAaPQBOOK996464391503316Computer Analysis of Images and Patterns772514UNISA01565nam0 22003853i 450 REA003672620231121125648.0887144562720120726d1996 ||||0itac50 baitaitz01i xxxe z01nScuola ed educazioneFriedrich Wilhelm Nietzscheantologia a cura di Giovanni PraticoRomaArmando\1996!127 p.17 cm.˜I œclassici dell'educazione001REA00367282001 ˜I œclassici dell'educazioneScuola [:] EducazioneFIRRMLC363395N371Scuole e loro attività; educazione speciale.22Nietzsche, FriedrichCFIV001040070178002Praticò, GiovanniSBLV063105Nietzsche, Friedrich WilhelmCFIV059607Nietzsche, FriedrichNietzsche, FriederichCFIV069979Nietzsche, FriedrichNietzsche, Friedrich W.CFIV097536Nietzsche, FriedrichNietzsche, FedericoPALV039894Nietzsche, FriedrichNietzsche, Friedrich G.SBNV003141Nietzsche, FriedrichITIT-0120120726IT-FR0017 Biblioteca umanistica Giorgio ApreaFR0017 NREA0036726Biblioteca umanistica Giorgio Aprea 52MAG 1/1251 52DSS0000022305 VMB RS A 2012072620120726 52Scuola ed educazione670578UNICAS04029nam 22006975 450 991025502660332120250903111154.03-662-49502-310.1007/978-3-662-49502-5(CKB)3710000001094944(DE-He213)978-3-662-49502-5(MiAaPQ)EBC4819655(PPN)288941691(EXLCZ)99371000000109494420170307d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierGlobalization Strategies and Effects /edited by Bent Jesper Christensen, Carsten Kowalczyk1st ed. 2017.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2017.1 online resource (XIII, 617 p. 77 illus.)3-662-49500-7 Includes bibliographical references.Search, Matching, and Globalization -- Multinational Firms -- Financial Markets and Aggregate Fluctuations -- International Integration and Migration -- Globalization and Policy Issues -- Globalization and Development -- Globalization, What We Know and What We Would Like to Know.This volume uses cutting-edge theory and empirical analysis of channels of international interaction to build new knowledge about strategies of entrepreneurs, domestic and multinational firms, governments, and international organizations facing increasing globalization. The ongoing process of globalization implies the continuing expansion and intensification of economic, political, social, cultural and judicial relations across borders. It is furthered by reductions in transportation and communication costs, the rise of new information technologies, such as the internet, and liberalizations in the markets for goods, services, labor, capital, and technology. Globalization presents new opportunities to some, but risks and threats to others. The volume presents new research and findings by leading scholars on international trade, labor markets, financial markets, economic integration, political science, law, management, the humanities, developing countries, and international relations.International economic relationsInternational relationsGlobalizationMarketsEntrepreneurshipDevelopment economicsMacroeconomicsInternational Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W33000International Relationshttps://scigraph.springernature.com/ontologies/product-market-codes/912000Emerging Markets/Globalizationhttps://scigraph.springernature.com/ontologies/product-market-codes/525010Entrepreneurshiphttps://scigraph.springernature.com/ontologies/product-market-codes/514000Development Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W42000Macroeconomics/Monetary Economics//Financial Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W32000International economic relations.International relations.Globalization.Markets.Entrepreneurship.Development economics.Macroeconomics.International Economics.International Relations.Emerging Markets/Globalization.Entrepreneurship.Development Economics.Macroeconomics/Monetary Economics//Financial Economics.337Christensen Bent Jesperedthttp://id.loc.gov/vocabulary/relators/edtKowalczyk Carstenedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910255026603321Globalization310643UNINA