Image Analysis and Processing. ICIAP 2022 Workshops (eBook, PDF)

ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II
Redaktion: Mazzeo, Pier Luigi; Distante, Cosimo; Sclaroff, Stan; Frontoni, Emanuele

• Format: PDF

Produktbeschreibung

The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.

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 living

Parts can worth like the Whole - PART 2022

Workshop on Fine Art Pattern Extraction and Recognition - FAPER

Workshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022

Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCAD

Deep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealth

Volume II:

Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES

Binary is the new Black (and White): Recent Advances on Binary Image Processing

Artificial Intelligence for preterm infants' healthCare - AI-care

Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP

Artificial Intelligence for Digital Humanities - AI4DH

Medical Transformers - MEDXF

Learning in Precision Livestock Farming - LPLF

Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETC

Medical Imaging Analysis For Covid-19 - MIACOVID 2022

Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 565
• Erscheinungstermin: 3. August 2022
• Englisch
• ISBN-13: 9783031133244
• Artikelnr.: 64720267

Inhaltsangabe

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.