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.
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.
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