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MultiMedia Modeling

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

  • Conference proceedings
  • © 2023

Overview

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. Detection, Recognition and Identification

  2. Human Action Understanding

  3. Image Quality Assessment and Enhancement

  4. Multimedia Analytics Application

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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