Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, ... Part II (Lecture Notes in Computer Science)

✍ Scribed by Verónica Vasconcelos (editor), Inês Domingues (editor), Simão Paredes (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 151
• Category: Library

✦ Synopsis

This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023.
The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.

✦ Table of Contents

Preface
Organization
Contents – Part II
Contents – Part I
Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Datasets
3.2 Evaluation Pipeline
4 Results
4.1 Skin Lesion Analysis on Acral Regions
4.2 Skin Lesion Analysis in People of Color
5 Conclusion
References
Breast MRI Multi-tumor Segmentation Using 3D Region Growing
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Pre-processing
3.2 Tumor Segmentation
4 Results
4.1 Image Filtering
4.2 Tumor Segmentation
5 Discussion
6 Conclusion
References
Mortality Prediction via Logistic Regression in Intensive Care Unit Patients with Pneumonia
1 Introduction
2 Materials and Methods
2.1 Experimental Data
2.2 Data Pre-processing
2.3 Predictive Models
3 Results and Discussion
3.1 Model Performance and Comparison
3.2 Localized Models Proof of Concept
4 Conclusions
References
ECG Feature-Based Classification of Induced Pain Levels
1 Introduction and Background
2 Methods
2.1 Dataset
2.2 Experimental Protocol and Data Collection
2.3 Methods for Dataset Analysis
3 Results
3.1 Datasets
3.2 Classification
4 Discussion
5 Conclusions and Further Research
References
Leveraging Model Fusion for Improved License Plate Recognition
1 Introduction
2 Related Work
3 Experimental Setup
3.1 Recognition Models
3.2 Datasets
3.3 Fusion Approaches
3.4 Performance Evaluation
4 Results
5 Conclusions
References
Enhancing Object Detection in Maritime Environments Using Metadata
1 Introduction
2 Related Work
2.1 Maritime Surveillance Datasets
2.2 Data-Level Techniques to Enhance Object Detection
2.3 Network-Level Techniques to Enhance Object Detection
2.4 Metadata Integration
3 Data Analysis
4 Proposed Architecture
5 Training Methodology
5.1 First Stage
5.2 Second Stage
5.3 Third Stage
6 Results and Discussion
6.1 Domain Adversarial Learning
6.2 Influence of Mosaic Augmentation
7 Conclusion
References
Streaming Graph-Based Supervoxel Computation Based on Dynamic Iterative Spanning Forest
1 Introduction
2 Theoretical Background
2.1 Graph
2.2 Image Foresting Transform
3 A Strategy for Supervoxel Computation Based on Dynamic Iterative Spanning Forest
3.1 Video Block Computation and Seed Sampling
3.2 Supervoxel Generation
3.3 Seed Recomputation
3.4 Propagating Labels of the Supervoxel Trees
4 Experimental Analysis
4.1 Quantitative Analysis
4.2 Qualitative Analysis
5 Conclusions and Future Work
References
Improving Pest Detection via Transfer Learning
1 Introduction
2 Background
2.1 Pest Detection
2.2 Object Detection and Classification
2.3 Few-Shot Learning
3 Methodology
3.1 Experiment Design
4 Experiments and Results
5 Conclusion
References
Do Emotional States Influence Physiological Pain Responses?
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Experimental Setup
3.2 Protocol
3.3 Physiological Data Preparation
3.4 Statistical Analysis
4 Results
4.1 Pain Perception
4.2 Physiological Data
5 Discussion
6 Conclusions and Further Research
References
Author Index