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MultiMedia Modeling

29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Duc-Tien Dang-Nguyen

    1. University of Bergen, Bergen, Norway

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  2. Cathal Gurrin

    1. Dublin City University, Dublin, Ireland

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  3. Martha Larson

    1. Radboud University Nijmegen, Nijmegen, The Netherlands

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  4. Alan F. Smeaton

    1. Dublin City University, Dublin, Ireland

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  5. Stevan Rudinac

    1. University of Amsterdam, Amsterdam, The Netherlands

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  6. Minh-Son Dao

    1. National Institute of Information and Communications Technology, Tokyo, Japan

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  7. Christoph Trattner

    1. Department of Information Science and Media Studies, University of Bergen, Bergen, Norway

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  8. Phoebe Chen

    1. La Trobe University, Melbourne, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13833)

Included in the following conference series:

Conference proceedings info: MMM 2023.

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Table of contents (60 papers)

  1. ICDAR: Intelligent Cross-Data Analysis and Retrieval

    1. A Cross-modal Attention Model for Fine-Grained Incident Retrieval from Dashcam Videos

      • Dinh-Duy Pham, Minh-Son Dao, Thanh-Binh Nguyen
      Pages 409-420

    2. Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching

      • Mingliang Liang, Zhuoran Liu, Martha Larson
      Pages 421-433

    3. Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks

      • Alireza Hossein Zadeh Nik, Michael A. Riegler, Pål Halvorsen, Andrea M. Storås
      Pages 434-446

    4. FL-Former: Flood Level Estimation with Vision Transformer for Images from Cameras in Urban Areas

      • Quoc-Cuong Le, Minh-Quan Le, Mai-Khiem Tran, Ngoc-Quyen Le, Minh-Triet Tran
      Pages 447-459

  2. MDRE: Multimedia Datasets for Repeatable Experimentation

    1. Front Matter

      Pages 461-461
      Download chapter PDF

    2. The NCKU-VTF Dataset and a Multi-scale Thermal-to-Visible Face Synthesis System

      • Tsung-Han Ho, Chen-Yin Yu, Tsai-Yen Ko, Wei-Ta Chu
      Pages 463-475

    3. Link-Rot in Web-Sourced Multimedia Datasets

      • Viktor Lakic, Luca Rossetto, Abraham Bernstein
      Pages 476-488

    4. People@Places and ToDY: Two Datasets for Scene Classification in Media Production and Archiving

      • Werner Bailer, Hannes Fassold
      Pages 489-501

    5. ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

      • Michael A. Riegler, Vajira Thambawita, Ayan Chatterjee, Thu Nguyen, Steven A. Hicks, Vibeke Telle-Hansen et al.
      Pages 502-514

    6. Fast Accurate Fish Recognition with Deep Learning Based on a Domain-Specific Large-Scale Fish Dataset

      • Yuan Lin, Zhaoqi Chu, Jari Korhonen, Jiayi Xu, Xiangrong Liu, Juan Liu et al.
      Pages 515-526

    7. GIGO, Garbage In, Garbage Out: An Urban Garbage Classification Dataset

      • Maarten Sukel, Stevan Rudinac, Marcel Worring
      Pages 527-538

    8. Marine Video Kit: A New Marine Video Dataset for Content-Based Analysis and Retrieval

      • Quang-Trung Truong, Tuan-Anh Vu, Tan-Sang Ha, Jakub Lokoč, Yue-Him Wong, Ajay Joneja et al.
      Pages 539-550

  3. SNL: Sport and Nutrition Lifelogging

    1. Front Matter

      Pages 551-551
      Download chapter PDF

    2. Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers

      • Tor-Arne S. Nordmo, Michael A. Riegler, Håvard D. Johansen, Dag Johansen
      Pages 553-564

    3. Soccer Athlete Data Visualization and Analysis with an Interactive Dashboard

      • Matthias Boeker, Cise Midoglu
      Pages 565-576

    4. Sport and Nutrition Digital Analysis: A Legal Assessment

      • Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen
      Pages 577-588

    5. Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data

      • Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh Jain
      Pages 589-600

    6. Capturing Nutrition Data for Sports: Challenges and Ethical Issues

      • Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Dagenborg
      Pages 601-612

  4. VBS: Video Browser Showdown

    1. Front Matter

      Pages 613-613
      Download chapter PDF

    2. VISIONE at Video Browser Showdown 2023

      • Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina et al.
      Pages 615-621
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Other volumes

  1. MultiMedia Modeling

  2. MultiMedia Modeling

Keywords

About this book

The two-volume set LNCS 13833 and LNCS 13834 constitutes the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, during January 9-12, 2023.
The 86 papers presented in these proceedings were carefully reviewed and selected from a total of 267 submissions. They focus on topics related to multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

Editors and Affiliations

  • University of Bergen, Bergen, Norway

    Duc-Tien Dang-Nguyen

  • Dublin City University, Dublin, Ireland

    Cathal Gurrin, Alan F. Smeaton

  • Radboud University Nijmegen, Nijmegen, The Netherlands

    Martha Larson

  • University of Amsterdam, Amsterdam, The Netherlands

    Stevan Rudinac

  • National Institute of Information and Communications Technology, Tokyo, Japan

    Minh-Son Dao

  • Department of Information Science and Media Studies, University of Bergen, Bergen, Norway

    Christoph Trattner

  • La Trobe University, Melbourne, Australia

    Phoebe Chen

Bibliographic Information

  • Book Title: MultiMedia Modeling

  • Book Subtitle: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part I

  • Editors: Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, … Phoebe Chen

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-27077-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-27076-5Published: 29 March 2023

  • eBook ISBN: 978-3-031-27077-2Published: 28 March 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXIII, 702

  • Number of Illustrations: 6 b/w illustrations, 219 illustrations in colour

  • Topics: Image Processing and Computer Vision, Machine Learning, Pattern Recognition, Computer Applications

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