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MultiMedia Modeling

23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part I

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Laurent Amsaleg

    1. CNRS–IRISA, Rennes, France

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  2. Gylfi Þór Guðmundsson

    1. Reykjavík University, Reykjavik, Iceland

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  3. Cathal Gurrin

    1. Dublin City University, Dublin, Ireland

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  4. Björn Þór Jónsson

    1. Reykjavik University, Reykjavik, Ireland

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  5. Shin’ichi Satoh

    1. National Institute of Informatics, Tokyo, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10132)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: MMM 2017.

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Table of contents (60 papers)

  1. Full Papers Accepted for Oral Presentation

    1. Modeling User Performance for Moving Target Selection with a Delayed Mouse

      • Mark Claypool, Ragnhild Eg, Kjetil Raaen
      Pages 226-237

    2. Multi-attribute Based Fire Detection in Diverse Surveillance Videos

      • Shuangqun Li, Wu Liu, Huadong Ma, Huiyuan Fu
      Pages 238-250

    3. Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers

      • Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Yiannis Kompatsiaris
      Pages 251-263

    4. No-Reference Image Quality Assessment Based on Internal Generative Mechanism

      • Xinchun Qian, Wengang Zhou, Houqiang Li
      Pages 264-276

    5. On the Exploration of Convolutional Fusion Networks for Visual Recognition

      • Yu Liu, Yanming Guo, Michael S. Lew
      Pages 277-289

    6. Phase Fourier Reconstruction for Anomaly Detection on Metal Surface Using Salient Irregularity

      • Tzu-Yi Hung, Sriram Vaikundam, Vidhya Natarajan, Liang-Tien Chia
      Pages 290-302

    7. ReMagicMirror: Action Learning Using Human Reenactment with the Mirror Metaphor

      • Fabian Lorenzo Dayrit, Ryosuke Kimura, Yuta Nakashima, Ambrosio Blanco, Hiroshi Kawasaki, Katsushi Ikeuchi et al.
      Pages 303-315

    8. Robust Image Classification via Low-Rank Double Dictionary Learning

      • Yi Rong, Shengwu Xiong, Yongsheng Gao
      Pages 316-328

    9. Robust Scene Text Detection for Multi-script Languages Using Deep Learning

      • Ruo-Ze Liu, Xin Sun, Hailiang Xu, Palaiahnakote Shivakumara, Feng Su, Tong Lu et al.
      Pages 329-340

    10. Robust Visual Tracking Based on Multi-channel Compressive Features

      • Jianqiang Xu, Yao Lu
      Pages 341-352

    11. Single Image Super-Resolution with a Parameter Economic Residual-Like Convolutional Neural Network

      • Ze Yang, Kai Zhang, Yudong Liang, Jinjun Wang
      Pages 353-364

    12. Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos

      • Ionut C. Duta, Bogdan Ionescu, Kiyoharu Aizawa, Nicu Sebe
      Pages 365-378

    13. Structure-Aware Image Resizing for Chinese Characters

      • Chengdong Liu, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
      Pages 379-390

    14. Supervised Class Graph Preserving Hashing for Image Retrieval and Classification

      • Lu Feng, Xin-Shun Xu, Shanqing Guo, Xiao-Lin Wang
      Pages 391-403

    15. Visual Robotic Object Grasping Through Combining RGB-D Data and 3D Meshes

      • Yiyang Zhou, Wenhai Wang, Wenjie Guan, Yirui Wu, Heng Lai, Tong Lu et al.
      Pages 404-415

    16. What Convnets Make for Image Captioning?

      • Yu Liu, Yanming Guo, Michael S. Lew
      Pages 416-428

    17. What are Good Design Gestures?

      • Ryo Kawahata, Atsushi Shimada, Rin-ichiro Taniguchi
      Pages 429-440

  2. SS1: Social Media Retrieval and Recommendation

    1. Front Matter

      Pages 441-441
      Download chapter PDF

    2. Collaborative Dictionary Learning and Soft Assignment for Sparse Coding of Image Features

      • Jie Liu, Sheng Tang, Yu Li
      Pages 443-451

    3. LingoSent — A Platform for Linguistic Aware Sentiment Analysis for Social Media Messages

      • Yuting Su, Huijing Wang
      Pages 452-464
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Other volumes

  1. MultiMedia Modeling

  2. MultiMedia Modeling

Keywords

About this book

The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling, MMM 2017, held in Reykjavik, Iceland, in January 2017.

Of the 149 full papers submitted, 36 were selected for oral presentation and 33 for poster presentation; of the 34 special session papers submitted, 24 were selected for oral presentation and 2 for poster presentation; in addition, 5 demonstrations were accepted from 8 submissions, and all 7 submissions to VBS 2017. All papers presented were carefully reviewed and selected from 198 submissions.

MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and practical development experiences from all MMM related areas, broadly falling into three categories: multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

Editors and Affiliations

  • CNRS–IRISA, Rennes, France

    Laurent Amsaleg

  • Reykjavík University, Reykjavik, Iceland

    Gylfi Þór Guðmundsson

  • Dublin City University, Dublin, Ireland

    Cathal Gurrin

  • Reykjavik University, Reykjavik, Ireland

    Björn Þór Jónsson

  • National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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