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Full Description
This book constitutes the refereed conference proceedings of the 11th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2023, held in Auckland, New Zealand, during November 22-24, 2023.
The 34 full papers presented in this book were carefully reviewed and selected from 75 submissions. The main conference focuses on Image and Video Technology, a conference that gathers researchers and practitioners from around the globe to discuss the latest breakthroughs in image and video processing, analysis, and applications.
Contents
Evaluating Mammogram Image Classification: Impact of Model Architectures, Pretraining, and Finetuning.- Cluster Based Video Summarization with Temporal Context Awareness.- Image Recognition and Threat Detection in Bags Arriving at the Airport.- AUAAC: Area Under Accuracy Curve for Evaluating Out-of-Distribution Detection.- Local Brightness Normalization for Image Classification and Object Detection Robust to Illumination Changes.- Computational Analysis of Table Tennis Matches from Real-Time Videos Using Deep Learning.- Multiscale Kiwifruit Detection from Digital Images.- A High-Accuracy Deformable Model for Human Face Mask Detection.- MobileNet-SA: Lightweight CNN with Self Attention for Sketch Classification.- Enhancement of Human Face Mask Detection Performance by Using Ensemble Learning Models.- Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding.- Spatial Variation Sequences for Remote Sensing Applications with Small Sample Size.- Exploring the Potential of High- Resolution Drone Imagery for Improved 3D Human Avatar Reconstruction.- Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor.- Efficient 3DConv Fusion of RGB and Optical Flow for Dynamic Hand Gesture Recognition and Localization.- An Investigation of Video Vision Transformers for Depression Severity Estimation from Facial Video Data.- Real time Automated Body Condition Scoring of Dairy Cows.- Logo-SSL: Self-Supervised Learning with Self-Attention for Efficient Logo Detection.- HAHANet: Towards Accurate Image Classifiers with Less Parameters.- Melanoma Classification Using Deep Learning.- 3D Formation Control of Multiple Cooperating Autonomous Agents Via Leader-Follower Strategy.- LAPRNet: Lightweight Airborne Particle Removal Network for LiDAR Point Clouds.- REAL-NET: A Monochromatic Depth Estimation Using REgional Attention and Local feature mapping.- Spike-EFI: Spiking Neural Network for Event-based Video Frame Interpolation.- ScrambleMix: A Privacy-Preserving Image Processing for Edge-Cloud Machine Learning.- Comparison of Simplified SE-ResNet and SE-DenseNet for Micro-Expression Classification.- Facial Deepfake Detection using Gaussian Processes.- A Novel Steganography Scheme using Logistic Map, BRISK Descriptor, and k means Clustering.- A Holistic Approach to Elderly Safety: Sensor Fusion, Fall Detection, and Privacy-Preserving Techniques.- On Deploying Mobile Deep Learning to Segment COVID-19 RT-PCR Test Tube Images.- Enhancing Safety during Surgical Procedures with Computer Vision, Artificial Intelligence, and Natural Language Processing.- Deep Learning Model with Atrous Convolutions for Improving Skin Cancer Classification.- Fusion-based Approach to Enhance Markerless Motion Capture Efficiency for on-site Analysis: Feasibility and Accuracy.- Using an optimal then enhanced YOLO Model for Multi-lingual scene text detection containing Arabic scripts.
