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[null,"1.","Record Nr.",null,"UNINA9910805576903321"]
[null,null,"Autore",null,"Foresti Gian Luca"]
[null,null,"Titolo",null,"Image Analysis and Processing - ICIAP 2023 Workshops : Udine, Italy, September 11–15, 2023, Proceedings, Part I / / edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031510236"]
[{"$nulls":4},"3031510232"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (519 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 14365"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Computer Engineering and Networks"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Automated Pattern Recognition"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Industrial Poster Session -- Instance Segmentation Applied to Underground Infrastructures -- 1 Introduction -- 2 Pipes Recognition -- 2.1 Dataset Creation -- 2.2 Dataset Description -- 2.3 Deep Learning Architecture -- 2.4 Classification Overhead -- 3 Experiments -- 3.1 Training -- 3.2 Instance Segmentation Results -- 3.3 Classification Refinement Results -- 4 Conclusion -- References -- Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loop -- 1 Introduction -- 2 Adversarial Examples -- 2.1 Sensitivity-Based Adversarial Examples -- 2.2 Invariance-Based Adversarial Examples -- 3 Human Perception -- 4 Experiments -- 4.1 Stimuli -- 4.2 Human Subjects -- 4.3 Eye Tracking Experimental Set-Up -- 4.4 Creation of Occlusion-Based Adversarial Examples -- 5 "]
[{"$nulls":4},"Results -- 6 Adaptive Approaches -- 7 Conclusion -- References -- MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison with SOTA -- 4.3 Implementation Details -- 5 Conclusions -- References -- On-Device Learning with Binary Neural Networks -- 1 Introduction -- 2 Related Literature -- 2.1 Continual Learning -- 2.2 Binary Neural Networks -- 3 On-Device CWR Optimization -- 3.1 Gradients Computation -- 3.2 Quantization Strategy -- 4 Experiments -- 5 Conclusion -- References -- Towards One-Shot PCB Component Detection with YOLO -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Improving YOLOv5 Architecture for Small Object Detection -- 3.3 Training Procedure and Evaluation Metrics -- 4 Experimental Results -- 4.1 Experiments with Original YOLOv5 -- 4.2 Experiments with Improved YOLOv5 -- 5 Conclusion."]
[{"$nulls":4},"References -- Wildfires Classification: A Comparative Study -- 1 Introduction -- 2 Datasets for Fire and Smoke Analysis -- 3 Fire Analysis Techniques -- 4 Wildfires Classification -- 4.1 Selected Deep Models -- 4.2 Wildfires Dataset -- 4.3 Deploying the Model on Embedded Systems -- 5 Experimental Results -- 5.1 Results on the FireNet Dataset -- 5.2 Results on Our Wildfires Dataset -- 6 Conclusions and Future Works -- References -- A General Purpose Method for Image Collection Summarization and Exploration -- 1 Introduction and Background -- 2 Proposed Method -- 2.1 Group Selection -- 2.2 Clustering of Pictures Within a Group -- 2.3 Best Picture Selection -- 3 Datasets -- 3.1 Automatic Triage for a Photo Series -- 3.2 Camera Scene Detection Dataset -- 4 Experimental Setup -- 4.1 Data Setup -- 4.2 Evaluation Metrics -- 4.3 Experimental Details -- 5 Results -- 5.1 Subjective Results -- 6 Conclusions -- References -- Automated Identification of Failure Cases in Organ at Risk Segmentation Using Distance Metrics: A Study on CT Data -- 1 Introduction -- 2 Methods and Materials -- 2.1 Dice and Hausdorff Distance Metrics -- 2.2 Dataset -- 2.3 Model Architecture -- 2.4 Experimental Setup -- 3 Results and Discussion -- 4 Conclusion -- References -- Digitizer: A Synthetic Dataset for Well-Log Analysis -- 1 Introduction -- 2 Generating Synthetic Well-Log Curves -- 3 Dataset Analysis -- 4 Conclusions -- References -- CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documents -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 3.1 Identity Document Reading -- 3.2 Arabic Text Recognition -- 4 Proposed Method -- 4.1 Architecture Description -- 4.2 Training Parameters -- 4.3 Data Pre-processing -- 5 Experiments -- 5.1 Dataset -- 5.2 Evaluation Metrics -- 5.3 Model Training -- 5.4 Model Evaluation -- 6 Conclusion -- References."]
[{"$nulls":4},"Advances in Gaze Analysis, Visual attention and Eye-gaze modelling (AGAVE) -- Detection and Localization of Changes in Immersive Virtual Reality -- 1 Introduction -- 2 Experiment and Computational Model -- 2.1 Task -- 2.2 Measures -- 2.3 Apparatus and Procedure -- 2.4 Participants -- 2.5 Computational Model -- 3 Results -- 3.1 Change Localization Experiment -- 3.2 The Proposed Model Accounts for the Patterns of Human Data -- 4 Discussion and Conclusion -- References -- Pain and Fear in the Eyes: Gaze Dynamics Predicts Social Anxiety from Fear Generalisation -- 1 Introduction -- 2 Background and Hypotheses -- 3 Method -- 3.1 Participants and Procedure -- 3.2 Proposed Model and Data Analyses -- 4 Results -- 5 Conclusions -- References -- Eye Gaze Analysis Towards an AI System for Dynamic Content Layout -- 1 Introduction -- 2 AI System -- 3 Experiment -- "]
[{"$nulls":4},"3.1 Overview -- 3.2 Set-Up -- 3.3 Clips -- 3.4 Data Analysis -- 4 Results -- 4.1 Graphic Durations -- 4.2 Fixation Durations -- 4.3 Fixation Scores -- 4.4 Region of Interest Hypothesis -- 5 Discussion -- 5.1 Target 1 -- 5.2 Target 2 -- 5.3 Targets 3 and 4 -- 5.4 Target 5 -- 5.5 Target 6 -- 6 Conclusions -- References -- Beyond Vision: Physics Meets AI (BVPAI) -- A Variational AutoEncoder for Model Independent Searches of New Physics at LHC -- 1 Introduction -- 2 The Physics Use-Case: An Effective Field Theory Interpretation of Vector Boson Scattering -- 2.1 Same Sign WW Scattering -- 2.2 Modeling the Anomalies: The SM as an Effective Field Theory -- 3 Variational AutoEncoders -- 3.1 The VAE Architecture -- 3.2 Anomaly Detection with VAEs -- 4 Embedding a Classification Step in the Training to Optimize for Discrimination -- 4.1 Results -- 5 Conclusions and Future Perspectives -- References -- Adaptive Voronoi Binning in Muon Radiography for Detecting Subsurface Cavities."]
[{"$nulls":4},"1 Introduction to Muon Radiography -- 1.1 Cosmic Rays -- 1.2 Muon Radiography -- 2 The MIMA Detector and Its Application at the Temperino Mine -- 3 Adaptive Tessellation Through Voronoi Binning -- 4 Conclusion -- References -- Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Model Training -- 4 Results -- 5 Discussion -- References -- A New IBA Imaging System for the Transportable MACHINA Accelerator -- 1 Introduction -- 2 Methods -- 3 Tests and Results -- 4 Conclusions -- References -- Abstracts Embeddings Evaluation: A Case Study of Artificial Intelligence and Medical Imaging for the COVID-19 Infection -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Label Assignment -- 3.3 Models -- 3.4 Performance Metrics -- 4 Results and Discussions -- 5 Conclusions -- References -- Pigments and Brush Strokes: Investigating the Painting Techniques Using MA-XRF and Laser Profilometry -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Automatic Affect Analysis and Synthesis (3AS) -- Pain Classification and Intensity Estimation Through the Analysis of Facial Action Units -- 1 Introduction -- 2 Background and Rationales -- 3 Materials and Methods -- 3.1 Datasets -- 3.2 Methods -- 3.3 Results -- 4 Conclusion -- References -- Towards a Better Understanding of Human Emotions: Challenges of Dataset Labeling -- 1 Introduction -- 2 Related Work -- 3 Proposed Emotion Taxonomy -- 4 Experiments -- 4.1 Relabeling the AffectNet Dataset -- 4.2 Results -- 5 Conclusions -- References -- Video-Based Emotion Estimation Using Deep Neural Networks: A Comparative Study -- 1 Introduction -- 2 Related Work -- 3 The OMG-Emotion Dataset."]
[{"$nulls":4},"4 The Video Emotion Estimation Pipeline -- 4.1 Pre-processing -- 4.2 Backbone -- 4.3 Temporal Aggregation -- 4.4 Multi-layer Perceptron -- 4.5 Loss Functions -- 5 Experiments and Results -- 5.1 Ablation Analysis -- 5.2 Model Comparison -- 5.3 State-of-the-Art Comparison -- 6 Conclusions -- A Appendix -- References -- International Contest on Fire Detection (ONFIRE) -- ONFIRE Contest 2023: Real-Time Fire Detection on the Edge -- 1 Introduction -- 2 Related Works -- 3 Contest Dataset and Task -- 4 Evaluation Metrics -- 5 Conclusion -- References -- FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Convolutional Neural Networks -- 2.3 Vision Transformers -- 2.4 The Proposed Approach -- 2.5 Metrics -- 3 Experimental Results and Discussion -- 3.1 Experimental Setup -- 3.2 Experimental Results -- 4 Conclusions -- References -- Rapid Fire Detection with Early Exiting -- 1 Introduction "]
[{"$nulls":4},"-- 2 Related Works -- 2.1 Fire Detection -- 2.2 Advantages of Deep Learning -- 2.3 Early Exiting -- 3 Methodology -- 3.1 Dataset -- 3.2 Model Architectures -- 4 Preliminary Results -- 5 Conclusions -- References -- Recent Advances in Digital Security: Biometrics and Forensics (BIOFORM) -- Morphing-Attacks Against Binary Fingervein Templates -- 1 Introduction -- 2 Morphing of Binary Finger Vein Templates -- 3 Experimental Settings -- 3.1 Assessment Criteria -- 3.2 Data and Recognition Software -- 4 Experimental Results -- 4.1 Threat Evaluation -- 4.2 Detecting Morphed Templates -- 5 Conclusion and Future Work -- References -- A Robust Approach for Crop Misalignment Estimation in Single and Double JPEG Compressed Images -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Results -- 4 Conclusions -- References."]
[{"$nulls":4},"Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks."]
[null,null,null,"Sommario/riassunto","The two-volume set LNCS 14365 and 14366 constitutes the papers of workshops hosted by the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, in September 2023. In total, 72 workshop papers and 10 industrial poster session papers have been accepted for publication. Part I of the set, volume 14365, contains 10 papers from the industrial poster session, and 31 papers from the following workshops: – Advances in Gaze Analysis, Visual attention and Eye-gaze modelling (AGAVE) – Beyond Vision: Physics meets AI (BVPAI) – Automatic Affect Analysis and Synthesis (3AS) – International Contest on Fire Detection (ONFIRE) – Recent Advances in Digital Security: Biometrics and Forensics (BioFor) – Computer Vision for Environment Monitoring and Preservation (CVEMP) – Generation of Human Face and Body Behavior (GHB)."]