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Home > Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I > Frame Adaptive Rate Control Scheme for Video Compressive Sensing
Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I |
Stan Sclaroff; Cosimo Distante; Marco Leo; Giovanni M. Farinella; Federico Tombari
Springer International Publishing
Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I
Frame Adaptive Rate Control Scheme for Video Compressive Sensing
Authors

Fuma Kimishima; Jian Yang; Thuy T. T. Tran; Jinjia Zhou

ARI Id

1665382398615_6189369

Access

Not Available Free

Pages

247-256

DOI

10.1007/978-3-031-06427-2_21

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-031-06427-2_21

Table of Contents of Book
Showing 1 to 20 of 74 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxvii
Front Matter
1-1
A Lightweight Model for Satellite Pose Estimation
Pierluigi Carcagnì; Marco Leo; Paolo Spagnolo; Pier Luigi Mazzeo; Cosimo Distante
3-14
Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter?
Antonio Greco; Leonardo Rundo; Alessia Saggese; Mario Vento; Antonio Vicinanza
15-26
LessonAble: Leveraging Deep Fakes in MOOC Content Creation
Ciro Sannino; Michela Gravina; Stefano Marrone; Giuseppe Fiameni; Carlo Sansone
27-37
An Intelligent Scanning Vehicle for Waste Collection Monitoring
Georg Waltner; Malte Jaschik; Alfred Rinnhofer; Horst Possegger; Horst Bischof
38-50
Morphological Galaxies Classification According to Hubble-de Vaucouleurs Diagram Using CNNs
Pier Luigi Mazzeo; Antonio Rizzo; Cosimo Distante
51-62
Front Matter
63-63
Pulmonary-Restricted COVID-19 Informative Visual Screening Using Chest X-ray Images from Portable Devices
Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega
65-76
Comparison of Different Supervised and Self-supervised Learning Techniques in Skin Disease Classification
Loris Cino; Pier Luigi Mazzeo; Cosimo Distante
77-88
Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA
Emilio López-Varela; Jorge Novo; José Ignacio Fernández-Vigo; Francisco Javier Moreno-Morillo; Marcos Ortega
89-99
Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion
Michela Gravina; Stefano Marrone; Ludovico Docimo; Mario Santini; Alfonso Fiorelli; Domenico Parmeggiani et al.
100-110
Investigating One-Class Classifiers to Diagnose Alzheimer’s Disease from Handwriting
Antonio Parziale; Antonio Della Cioppa; Angelo Marcelli
111-123
Learning Unrolling-Based Neural Network for Magnetic Resonance Imaging Reconstruction
Qiunv Yan; Li Liu; Lanyin Mei
124-136
Machine Learning to Predict Cognitive Decline of Patients with Alzheimer’s Disease Using EEG Markers: A Preliminary Study
Francesco Fontanella; Sonia Pinelli; Claudio Babiloni; Roberta Lizio; Claudio Del Percio; Susanna Lopez et al.
137-147
Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesions
José Morano; Álvaro S. Hervella; José Rouco; Jorge Novo; José Ignacio Fernández-Vigo; Marcos Ortega
148-159
Eye Diseases Classification Using Deep Learning
Patrycja Haraburda; Łukasz Dabała
160-172
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
Carlo Alberto Barbano; Enzo Tartaglione; Claudio Berzovini; Marco Calandri; Marco Grangetto
173-184
UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans
Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano et al.
185-196
Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays
Valerio Guarrasi; Paolo Soda
197-209
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 74 entries
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