Image Analysis and Processing - ICIAP 2023 Workshops

Name: Image Analysis and Processing - ICIAP 2023 Workshops | Udine, Italy, September 11-15, 2023, Proceedings, Part I
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Udine, Italy, September 11-15, 2023, Proceedings, Part I

Gian Luca Foresti Andrea Fusiello Edwin Hancock(Editor)

Springer (Publisher)

Published on 23. January 2024

XXI, 511 pages

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978-3-031-51023-6 (ISBN)

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Content

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 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
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
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
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
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
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
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
Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks
1 Introduction
2 Related Work
3 The HITL Approach as an Adversarial Defence
4 Experiments
5 Conclusions
References
Generalized Deepfake Detection Algorithm Based on Inconsistency Between Inner and Outer Faces
1 Introduction
2 Related Works on Deepfake Detection
3 The Proposed Method
4 Experimental Analysis and Results
4.1 Datasets
4.2 Experimental Setup
4.3 Results
5 Conclusions
References
Real-Time Multiclass Face Spoofing Recognition Through Spatiotemporal Convolutional 3D Features
1 Introduction
2 Proposed Method
3 Evaluation
3.1 Dataset and Evaluation Metrics
3.2 Implementation Details
3.3 Binary Classifier
3.4 Multiclass Classifier
3.5 Comparison with the State-of-the-Art
3.6 Ablation Study
4 Conclusion
References
Computer Vision for Environment Monitoring and Preservation (CVEMP) Enhancing Air Quality Forecasting Through
Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform
1 Introduction
2 Related Work
3 Methodology and Data
3.1 1D Analysis
3.2 2D Data Generation
3.3 2D Analysis
4 Experimental Setup
4.1 Dataset
4.2 Implementation Details
4.3 Performance Measures
5 Results
6 Conclusion
References
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task
1 Introduction
2 Related Works
2.1 Depth Estimation
2.2 Efficient Vision Transformers
3 Proposed Method
3.1 Meta-METER
3.2 Pyra-METER
4 Results
4.1 Experimental Setup
4.2 Performance Analysis
4.3 Inference Time Analysis
5 Conclusions
References
Assessing Machine Learning Algorithms for Land Use and Land Cover Classification in Morocco Using Google Earth Engine
1 Introduction
2 Related Work
3 Methodology
3.1 Study Area and Dataset
3.2 Data Preparation
3.3 Machine Learning Algorithms
3.4 Evaluation of Accuracy
4 Results and Discussion
5 Conclusion
References
An Application of Artificial Intelligence and Genetic Algorithm to Support the Discovering of Roman Centuriation Remains
1 Introduction
2 Related Work
3 Methodology
3.1 Edges Detection
3.2 Lines Identification
3.3 Grid Alignment
4 Implementation
4.1 The U-Net Convolutional Neural Network
4.2 Image Processing
4.3 Genetic Algorithm
5 Experimental Results
6 Conclusions
References
Convolutional Neural Networks for the Detection of Esca Disease Complex in Asymptomatic Grapevine Leaves
1 Introduction
2 Materials and Methods
2.1 Leaf Samples
2.2 Hyperspectral Image Acquisition and Processing
3 Experiments and Results
4 Discussion
5 Conclusions and Future Work
References
ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo
1 Introduction
2 Dataset Collection and Analysis
3 Methods
4 Results
5 Conclusions
References
Automatic Alignment of Multi-scale Aerial and Underwater Photogrammetric Point Clouds: A Case Study in the Maldivian Coral Reef
1 Introduction
2 Data Acquisition and Monocular Photogrammetric Point Clouds Generation
3 Manual Registration and Its Use as Ground Truth
4 The Automatic Registration Pipeline
5 Conclusions
References
Generation of Human Face and Body Behavior (GHB)
Upsampling 4D Point Clouds of Human Body via Adversarial Generation
1 Introduction
2 Related Work
3 Upsampling of Time Varying Point Clouds
3.1 Proposed Architecture
4 Experiments
4.1 Implementation Details and Used Dataset
4.2 Results
4.3 Ablation Study
5 Conclusions
References
Decoding Deception: Understanding Human Discrimination Ability in Differentiating Authentic Faces from Deepfake Deceits
1 Introduction
1.1 Forms of Facial Manipulation
2 Methodology
2.1 Generative Adversarial Networks (GANs)
2.2 Conditional GANs (CGANs)
2.3 Faceswap
2.4 Lip-Sync
2.5 Dataset
2.6 Experimental Procedure
3 Results and Discussion
4 Conclusion
References
Generative Data Augmentation of Human Biomechanics
1 Introduction
2 Methods
2.1 Experimental Dataset
2.2 Data Pre-processing
2.3 Model Architecture
2.4 Model Training
2.5 Fine-Tuning
2.6 Evaluation
3 Results
3.1 Fine-Tuning
4 Discussion
References
Avatar Reaction to Multimodal Human Behavior
1 Introduction
2 Overview
3 Proposed Method
3.1 Motion Database
3.2 Data Capture
3.3 Action Prediction and Recognition
3.4 Facial Expression Recognition
4 Avatar Environment
5 Conclusions and Future Work
References
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Image Analysis and Processing - ICIAP 2023 Workshops

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