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MultiMedia Modeling

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

  • Conference proceedings
  • © 2023

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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 13834)

Included in the following conference series:

Conference proceedings info: MMM 2023.

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Table of contents (64 papers)

  1. Front Matter

    Pages i-xxxiii
    Download chapter PDF

  2. Multimedia Processing and Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Transparent Object Detection with Simulation Heatmap Guidance and Context Spatial Attention

      • Shuo Chen, Di Li, Bobo Ju, Linhua Jiang, Dongfang Zhao
      Pages 3-15

    3. Deep3DSketch+: Rapid 3D Modeling from Single Free-Hand Sketches

      • Tianrun Chen, Chenglong Fu, Ying Zang, Lanyun Zhu, Jia Zhang, Papa Mao et al.
      Pages 16-28

    4. Manga Text Detection with Manga-Specific Data Augmentation and Its Applications on Emotion Analysis

      • Yi-Ting Yang, Wei-Ta Chu
      Pages 29-40

    5. SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition

      • Shanshan Zhong, Wushao Wen, Jinghui Qin
      Pages 41-53

    6. Less Is More: Similarity Models for Content-Based Video Retrieval

      • Patrik Veselý, Ladislav Peška
      Pages 54-65

    7. Edge Assisted Asymmetric Convolution Network for MR Image Super-Resolution

      • Wanliang Wang, Fangsen Xing, Jiacheng Chen, Hangyao Tu
      Pages 66-78

    8. An Occlusion Model for Spectral Analysis of Light Field Signal

      • Weiyan Chen, Changjian Zhu, Shan Zhang, Sen Xiang
      Pages 79-90

    9. Context-Guided Multi-view Stereo with Depth Back-Projection

      • Tianxing Feng, Zhe Zhang, Kaiqiang Xiong, Ronggang Wang
      Pages 91-102

    10. RLSCNet: A Residual Line-Shaped Convolutional Network for Vanishing Point Detection

      • Wei Wang, Peng Lu, Xujun Peng, Wang Yin, Zhaoran Zhao
      Pages 103-114

    11. Energy Transfer Contrast Network for Unsupervised Domain Adaption

      • Jiajun Ouyang, Qingxuan Lv, Shu Zhang, Junyu Dong
      Pages 115-126

    12. Recombining Vision Transformer Architecture for Fine-Grained Visual Categorization

      • Xuran Deng, Chuanbin Liu, Zhiying Lu
      Pages 127-138

    13. A Length-Sensitive Language-Bound Recognition Network for Multilingual Text Recognition

      • Ming Gao, Shilian Wu, Zengfu Wang
      Pages 139-150

    14. Lightweight Multi-level Information Fusion Network for Facial Expression Recognition

      • Yuan Zhang, Xiang Tian, Ziyang Zhang, Xiangmin Xu
      Pages 151-163

    15. Practical Analyses of How Common Social Media Platforms and Photo Storage Services Handle Uploaded Images

      • Duc-Tien Dang-Nguyen, Vegard Velle Sjøen, Dinh-Hai Le, Thien-Phu Dao, Anh-Duy Tran, Minh-Triet Tran
      Pages 164-176

    16. CCF-Net: A Cascade Center-Based Framework Towards Efficient Human Parts Detection

      • Kai Ye, Haoqin Ji, Yuan Li, Lei Wang, Peng Liu, Linlin Shen
      Pages 177-189

    17. Low-Light Image Enhancement Under Non-uniform Dark

      • Yuhang Li, Feifan Cai, Yifei Tu, Youdong Ding
      Pages 190-201

    18. A Proposal-Improved Few-Shot Embedding Model with Contrastive Learning

      • Fucai Gong, Yuchen Xie, Le Jiang, Keming Chen, Yunxin Liu, Xiaozhou Ye et al.
      Pages 202-214

    19. Weighted Multi-view Clustering Based on Internal Evaluation

      • Haoqi Xu, Jian Hou, Huaqiang Yuan
      Pages 215-227
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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

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