Image Analysis and Processing. ICIAP 2022 Workshops : ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part I / edited by Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, Cosimo Distante.

Format:

Book

Contributor:

Mazzeo, Pier Luigi, Editor.

Frontoni, Emanuele., Editor.

Sclaroff, Stan, Editor.

Distante, Cosimo, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science 1611-3349 ; 13373

Lecture Notes in Computer Science, 1611-3349 ; 13373

Language:

English

Subjects (All):

Image processing-Digital techniques.

Computer vision.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (XXII, 571 pages) : 196 illustrations, 166 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

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.

Contents:

GoodBrother workshop on visual intelligence for active and assisted living

Case study of a low-cost IoT device with a thermal vision to monitor human stool behavior in the home

Adults' Pain Recognition via Facial Expressions Using CNN-based AU Detection

In-bed posture and night wandering monitoring using force-sensing resistors

Classifying Sport-Related Human Activity from Thermal Vision Sensors using CNN and LSTM

MIRATAR: A virtual caregiver for Active and Healthy Ageing

From Garment to Skin: The visuAAL Skin Segmentation Dataset

A Mobile Food Recognition System for Dietary Assessment

Smart Diet Management through Food Image and Cooking Recipe Analysis

An approach for improving the older people's perception of video-based applications in AAL systems - initial study

Parts can worth like the Whole - PART 2022

Spectral analysis of masked signals in the context of image inpainting

Bringing Attention to Anomaly Detection

Workshop on Fine Art Pattern Extraction and Recognition - FAPER

Recognizing the Emotions Evoked by Artworks Through Visual Features and Knowledge Graph-Embeddings

Classification of pottery fragments described by concentration of chemical elements

Blind deblurring of hyperspectral document images

MyBottega: an environment for the innovative production and distribution of digital art

A Case Study for the Design and Implementation of Immersive Experiences in support of Sicilian Cultural Heritage

Automatic indexing of virtual camera features from Japanese anime

Imageability-based Multi-modal Analysis of Urban Environments for Architects and Artists

Challenges in image matching for cultural heritage: an overview and perspective

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

Virtual and Augmented Reality for quality control of aircraft interiors

Automatic scoring of synchronization from fingers motion capture and music beats

Performance of Recent tiny/small YOLO Versions in the Context of Top-view Fisheye Images

Cloud-based visually aided mobile manipulator kinematic parameters calibration

Deep learning approaches for image-based detection and classification of structural defects in bridges

MONstEr: a Deep learning-based system for the automatic generation of gaming assets

Surface Oxide detection and characterization using sparse unmixing on hyperspectral images

FakeNED: a deep learning based-system for fake news detection from social media

Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCAD

Radiomics Analyses of Schwannomas in the head and neck: a preliminary analysis

A shallow learning investigation for COVID-19 classification

Shape Prior Based Myocardial Segmentation with Anatomically Motivated Pose Model

PET images atlas-based segmentation performed in native and in template space: a radiomics repeatability study

MRI-based radiomics analysis for identification of features correlated with the Expanded Disability Status Scale of Multiple Sclerosis patients

matRadiomics: from Biomedical Image Visualization to Predictive Model Implementation

Assessing high-order interdependencies through static O-Information measures computed on resting state fMRI intrinsic component networks

Place cell's Computational Model

Automatic Liver Segmentation in pre-TIPS Cirrhotic Patients: A Preliminary Step for Radiomics Studies

Combining Convolutional Neural Networks and Anatomical Shape-Based priors for Cardiac Segmentation

A Predictive System to Classify Preoperative Grading of Rectal Cancer using Radiomics Features

Unsupervised Brain Segmentation System Using K-Means and Neural Network

Combining Image and Geometry Processing Techniques for the Quantitative Analysis of Muscle-Skeletal Diseases

Robustness of Radiomics Features to Varying Segmentation Algorithms in Magnetic Resonance Images

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

Fast Learning Framework for Denoising of Ultrasound 2D Videos and 3D Images

Lung nodules segmentation with DeepHealth toolkit

UnitoBrain: A Brain Perfusion Dataset

A Compact Deep Ensemble for High Quality Skin Lesion Classification

Automatic Detection of Epileptic Seizures with Recurrent and Convolutional Neural Networks

Enabling Efficient Training of Convolutional Neural Networks for Histopathology Images

AI support for accelerating histopathological slide examinations of prostate cancer in clinical studies

Detection of Pulmonary Conditions Using the DeepHealth Framework.

Other Format:

Printed edition:

ISBN:

978-3-031-13321-3

9783031133213

Access Restriction:

Restricted for use by site license.