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Pattern Recognition. ICPR International Workshops and Challenges

Virtual Event, January 10-15, 2021, Proceedings, Part VII

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Alberto Del Bimbo

    1. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

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  2. Rita Cucchiara

    1. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

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  3. Stan Sclaroff

    1. Department of Computer Science, Boston University, Boston, USA

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  4. Giovanni Maria Farinella

    1. Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

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  5. Tao Mei

    1. Cloud & AI, JD.COM, Beijing, China

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  6. Marco Bertini

    1. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

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  7. Hugo Jair Escalante

    1. Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Mexico

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  8. Roberto Vezzani

    1. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12667)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ICPR 2021.

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Table of contents (47 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. PATCAST - International Workshop on Pattern Forecasting

    1. Front Matter

      Pages 1-3
      Download chapter PDF

    2. Adaptive Future Frame Prediction with Ensemble Network

      • Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki
      Pages 5-19

    3. Rain-Code Fusion: Code-to-Code ConvLSTM Forecasting Spatiotemporal Precipitation

      • Takato Yasuno, Akira Ishii, Masazumi Amakata
      Pages 20-34

  3. PATRECH2020 - II International Workshop on Pattern Recognition for Cultural Heritage

    1. Front Matter

      Pages 35-37
      Download chapter PDF

    2. Using Graph Neural Networks to Reconstruct Ancient Documents

      • Cecilia Ostertag, Marie Beurton-Aimar
      Pages 39-53

    3. AnCoins: Image-Based Automated Identification of Ancient Coins Through Transfer Learning Approaches

      • Chairi Kiourt, Vasilis Evangelidis
      Pages 54-67

    4. Subjective Assessments of Legibility in Ancient Manuscript Images - The SALAMI Dataset

      • Simon Brenner, Robert Sablatnig
      Pages 68-82

    5. Can OpenPose Be Used as a 3D Registration Method for 3D Scans of Cultural Heritage Artifacts

      • Tomislav Pribanić, David Bojanić, Kristijan Bartol, Tomislav Petković
      Pages 83-96

    6. Survey on Deep Learning-Based Kuzushiji Recognition

      • Kazuya Ueki, Tomoka Kojima
      Pages 97-111

    7. Stylistic Classification of Historical Violins: A Deep Learning Approach

      • Piercarlo Dondi, Luca Lombardi, Marco Malagodi, Maurizio Licchelli
      Pages 112-125

    8. Text Line Extraction Using Fully Convolutional Network and Energy Minimization

      • Berat Kurar Barakat, Ahmad Droby, Reem Alaasam, Boraq Madi, Irina Rabaev, Jihad El-Sana
      Pages 126-140

    9. Handwriting Classification of Byzantine Codices via Geometric Transformations Induced by Curvature Deformations

      • Dimitris Arabadjis, Constantin Papaodysseus, Athanasios Rafail Mamatsis, Eirini Mamatsi
      Pages 141-155

    10. Visual Programming-Based Interactive Analysis of Ancient Documents: The Case of Magical Signs in Jewish Manuscripts

      • Parth Sarthi Pandey, Vinodh Rajan, H. Siegfried Stiehl, Michael Kohs
      Pages 156-170

    11. Quaternion Generative Adversarial Networks for Inscription Detection in Byzantine Monuments

      • Giorgos Sfikas, Angelos P. Giotis, George Retsinas, Christophoros Nikou
      Pages 171-184

    12. Transfer Learning Methods for Extracting, Classifying and Searching Large Collections of Historical Images and Their Captions

      • Cindy Roullet, David Fredrick, John Gauch, Rhodora G. Vennarucci, William Loder
      Pages 185-199

    13. Deep Learning Spatial-Spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts

      • Di Bai, David W. Messinger, David Howell
      Pages 200-214

    14. Abstracting Stone Walls for Visualization and Analysis

      • Giovanni Gallo, Francesca Buscemi, Michele Ferro, Marianna Figuera, Paolo Marco Riela
      Pages 215-222

    15. PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification

      • Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Alessandra Scotto di Freca
      Pages 223-234

    16. Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks

      • Koubouratou Idjaton, Xavier Desquesnes, Sylvie Treuillet, Xavier Brunetaud
      Pages 235-248
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Other volumes

  1. Pattern Recognition. ICPR International Workshops and Challenges

  2. Pattern Recognition. ICPR International Workshops and Challenges

  3. Pattern Recognition. ICPR International Workshops and Challenges

  4. Pattern Recognition. ICPR International Workshops and Challenges

  5. Pattern Recognition. ICPR International Workshops and Challenges

  6. Pattern Recognition. ICPR International Workshops and Challenges

  7. Pattern Recognition. ICPR International Workshops and Challenges

  8. Pattern Recognition. ICPR International Workshops and Challenges

Keywords

About this book

This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

Editors and Affiliations

  • Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Alberto Del Bimbo, Marco Bertini

  • Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Rita Cucchiara, Roberto Vezzani

  • Department of Computer Science, Boston University, Boston, USA

    Stan Sclaroff

  • Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

    Giovanni Maria Farinella

  • Cloud & AI, JD.COM, Beijing, China

    Tao Mei

  • Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Mexico

    Hugo Jair Escalante

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