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Image Analysis and Processing – ICIAP 2022

21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Stan Sclaroff

    1. Boston University, Boston, USA

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  2. Cosimo Distante

    1. National Research Council, Lecce, Italy

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  3. Marco Leo

    1. National Research Council, Lecce, Italy

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  4. Giovanni M. Farinella

    1. University of Catania, Catania, Italy

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  5. Federico Tombari

    1. Technische Universität München, Garching, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13231)

Included in the following conference series:

Conference proceedings info: ICIAP 2022.

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Table of contents (66 papers)

  1. Biomedical and Assistive Technology

    1. High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks

      • Mateo Gende, Joaquim de Moura, Jorge Novo, Marcos Ortega
      Pages 210-220

    2. Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep Learning

      • Simon Lyra, Ines Groß-Weege, Steffen Leonhardt, Markus Lüken
      Pages 221-232

    3. Improving Colon Carcinoma Grading by Advanced CNN Models

      • Marco Leo, Pierluigi Carcagnì, Luca Signore, Giulio Benincasa, Mikko O. Laukkanen, Cosimo Distante
      Pages 233-244

  2. Multimedia

    1. Front Matter

      Pages 245-245
      Download chapter PDF

    2. Frame Adaptive Rate Control Scheme for Video Compressive Sensing

      • Fuma Kimishima, Jian Yang, Thuy T. T. Tran, Jinjia Zhou
      Pages 247-256

    3. Shot-Based Hybrid Fusion for Movie Genre Classification

      • Tianyu Bi, Dimitri Jarnikov, Johan Lukkien
      Pages 257-269

    4. Landmark-Guided Conditional GANs for Face Aging

      • Xin Huang, Minglun Gong
      Pages 270-283

    5. Introducing AV1 Codec-Level Video Steganography

      • Lorenzo Catania, Dario Allegra, Oliver Giudice, Filippo Stanco, Sebastiano Battiato
      Pages 284-294

  3. Deep Learning

    1. Front Matter

      Pages 295-295
      Download chapter PDF

    2. Efficient Transfer Learning for Visual Tasks via Continuous Optimization of Prompts

      • Jonathan Conder, Josephine Jefferson, Nathan Pages, Khurram Jawed, Alireza Nejati, Mark Sagar
      Pages 297-309

    3. Continual Learning with Neuron Activation Importance

      • Sohee Kim, Seungkyu Lee
      Pages 310-321

    4. AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection

      • Laya Rafiee Sevyeri, Thomas Fevens
      Pages 322-334

    5. Analyzing EEG Data with Machine and Deep Learning: A Benchmark

      • Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini et al.
      Pages 335-345

    6. A Two-Stage U-Net to Estimate the Cultivated Area of Plantations

      • Walysson Carlos dos Santos Oliveira, Geraldo Braz Junior, Daniel Lima Gomes Junior, Anselmo Cardoso de Paiva, Joao Dallyson Sousa de Almeida
      Pages 346-357

    7. An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets

      • Francesca Trenta, Sebastiano Battiato, Daniele Ravì
      Pages 358-367

    8. Fusion of Periocular Deep Features in a Dual-Input CNN for Biometric Recognition

      • Andrea Abate, Lucia Cimmino, Michele Nappi, Fabio Narducci
      Pages 368-378

    9. Improve Convolutional Neural Network Pruning by Maximizing Filter Variety

      • Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus Zaharia
      Pages 379-390

    10. Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

      • Kamil Książek, Przemysław Głomb, Michał Romaszewski, Michał Cholewa, Bartosz Grabowski, Krisztián Búza
      Pages 391-403

    11. Cluster Centers Provide Good First Labels for Object Detection

      • Gertjan J. Burghouts, Maarten Kruithof, Wyke Huizinga, Klamer Schutte
      Pages 404-413

    12. Unsupervised Detection of Dynamic Hand Gestures from Leap Motion Data

      • Andrea D’Eusanio, Stefano Pini, Guido Borghi, Alessandro Simoni, Roberto Vezzani
      Pages 414-424
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Other volumes

  1. Image Analysis and Processing – ICIAP 2022

  2. Image Analysis and Processing – ICIAP 2022

  3. Image Analysis and Processing – ICIAP 2022

  4. Image Analysis and Processing. ICIAP 2022 Workshops

  5. Image Analysis and Processing. ICIAP 2022 Workshops

Keywords

About this book

The proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy,

The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc.

Editors and Affiliations

  • Boston University, Boston, USA

    Stan Sclaroff

  • National Research Council, Lecce, Italy

    Cosimo Distante, Marco Leo

  • University of Catania, Catania, Italy

    Giovanni M. Farinella

  • Technische Universität München, Garching, Germany

    Federico Tombari

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