Buch, Englisch, Band 13374, 565 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 885 g
ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II
Buch, Englisch, Band 13374, 565 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 885 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-13323-7
Verlag: Springer International Publishing
The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions.
ICIAP 2022 presents the following Sixteen workshops:
Volume I:
GoodBrother workshop on visual intelligence for active and assisted livingParts can worth like the Whole - PART 2022Workshop on Fine Art Pattern Extraction and Recognition - FAPERWorkshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCADDeep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealth
Volume II:
Human Behaviour Analysis for Smart City Environment Safety - HBAxSCESBinary is the new Black (and White): Recent Advances on Binary Image ProcessingArtificial Intelligence for preterm infants’ healthCare - AI-careTowards a Complete Analysis of People: From Face and Body to Clothes - T-CAPArtificial Intelligence for Digital Humanities - AI4DHMedical Transformers - MEDXFLearning in Precision Livestock Farming - LPLFWorkshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETCMedical Imaging Analysis For Covid-19 - MIACOVID 2022Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES.- A framework for forming middle distance routes based on spatial guidelines, perceived accessibility and visual cues in smart city.- A survey on Few-Shot techniques in the context of Computer Vision applications based on Deep Learning.- Decision-Support System for Safety and Security Assessment and Management in Smart Cities.- Embedded intelligence for safety and security machine vision applications.- Supporting Energy Digital Twins with Cloud Data Spaces: an Architectural Proposal.- High-level feature extraction for Crowd Behaviour Analysis: a Computer Vision approach.- Binary is the new Black (and White): Recent Advances on Binary Image Processing.- A Simple yet Effective Image Repairing Algorithm.- A Novel Method for Improving the Voxel-Pattern-Based Euler Number Computing Algorithm of 3D Binary Images.- Event-based object detection and tracking - A traffic monitoring use case.- Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction.- An efficient run-based Connected Component Labeling algorithm for processing holes.- LSL3D: a run-based Connected Component Labeling algorithm for 3D volumes.- Artificial Intelligence for preterm infants’ healthCare - AI-care.- Deep-learning architectures for placenta vessel segmentation in TTTS fetoscopic images.- An Advanced Tool for Semi-Automatic Annotation for Early Screening of Neurodevelopmental Disorders.- Some ethical remarks on Deep Learning-based movements monitoring for preterm infants: Green AI or Red AI?.- Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP.- Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation.- StyleTrendGAN: a deep learning generative framework for fashion bag generation.- Gender Recognition from 3D Shape Parameters.- Recognition of complex gestures for real-time emoji assignment.- Generating High-Resolution 3D Faces using VQ-VAE-2 with PixelSNAIL Networks.- Artificial Intelligence for Digital Humanities - AI4DH.- The Morra Game: Developing an Automatic Gesture Recognition System to Interface Human and Artificial Players.- Integration of point clouds from 360° videos and deep learning techniques for rapid documentation and classification in historical city centers.- Towards the creation of AI-powered queries using Transfer Learning on NLP model - the THESPIAN-NER experience.- Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System.- PergaNet: a deep learning framework for automatic appearance-based analysis of ancient parchment collections.- Transformers with YOLO network for damage detection in limestone wall images.- Medical Transformers - MEDXF.- On the Effectiveness of 3DVision Transformers for the Prediction of Prostate Cancer Aggressiveness.- Exploring a Transformer approach for Pigment Signs segmentation in Fundus Images.- Transformer based GANs for Medical Image Segmentationes.- Learning in Precision Livestock Farming - LPLF.- Suggestions for the environmental sustainability from Precision Livestock Farming and replacement in dairy cows.- Intelligent Video Surveillance For Animal Behavior Monitoring.- Quick Quality Analysis On Cereals, Pulses and Grains Using Artificial Intelligence.- Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification?.- Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETC.- DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection.- Drone-vs-Bird Detection Challenge at ICIAP 2021.- An Image-based Classification Module for Data Fusion Anti-Drone System.- Evaluation of Fully Convolutional One-Stage Object Detection for Drone Detection.- Drone Surveillance using Detection, Tracking and Classification Techniques.- Medical Imaging Analysis For Covid-19 - MIACOVID 2022.- ILC-Unet++ for Covid-19 Infection Segmentation.- Revitalizing regression tasks through modern training procedures: applications in medical image analysis for Covid-19 infection percentage estimation.- Res-Dense Net for 3D Covid Chest CT-scan classification.- Deep Regression by Feature Regularization for COVID-19 Severity Prediction.- Mixup Data Augmentation for COVID-19 Infection Percentage Estimation.- Swin Transformer for COVID-19 Infection Percentage Estimation from CT-Scans.- COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer.- Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL.- Catastrophic Forgetting in Continual Concept Bottleneck Models.- Practical Recommendations for Replay-based Continual Learning Methods.
