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Pattern Recognition

5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26–29, 2019, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Shivakumara Palaiahnakote

    1. University of Malaya, Kuala Lumpur, Malaysia

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  2. Gabriella Sanniti di Baja

    1. Consiglio Nazionale delle Ricerche, ICAR, Naples, Italy

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  3. Liang Wang

    1. Chinese Academy of Sciences, Beijing, China

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  4. Wei Qi Yan

    1. Auckland University of Technology, Auckland, New Zealand

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12047)

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

Included in the following conference series:

Conference proceedings info: ACPR 2019.

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Table of contents (58 papers)

  1. Multi-media and Signal Processing and Interaction

    1. Infant Attachment Prediction Using Vision and Audio Features in Mother-Infant Interaction

      • Honggai Li, Jinshi Cui, Li Wang, Hongbin Zha
      Pages 489-502

    2. Early Diagnosis of Alzheimer’s Disease Based on Selective Kernel Network with Spatial Attention

      • Huanhuan Ji, Zhenbing Liu, Wei Qi Yan, Reinhard Klette
      Pages 503-515

    3. Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder

      • Qien Yu, Muthusubash Kavitha, Takio Kurita
      Pages 516-529

    4. Detection of Pilot’s Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network

      • Baek-Woon Yu, Ji-Hoon Jeong, Dae-Hyeok Lee, Seong-Whan Lee
      Pages 530-543

    5. Deriving Perfect Reconstruction Filter Bank for Focal Stack Refocusing

      • Asami Ito, Akira Kubota, Kazuya Kodama
      Pages 544-553

    6. Skeleton-Based Labanotation Generation Using Multi-model Aggregation

      • Ningwei Xie, Zhenjiang Miao, Jiaji Wang
      Pages 554-565

    7. Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data

      • Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
      Pages 566-579

    8. A Generative Adversarial Network Based Ensemble Technique for Automatic Evaluation of Machine Synthesized Speech

      • Jaynil Jaiswal, Ashutosh Chaubey, Sasi Kiran Reddy Bhimavarapu, Shashank Kashyap, Puneet Kumar, Balasubramanian Raman et al.
      Pages 580-593

    9. Large-Scale Font Identification from Document Images

      • Subhankar Ghosh, Prasun Roy, Saumik Bhattacharya, Umapada Pal
      Pages 594-600

    10. Aggregating Motion and Attention for Video Object Detection

      • Ruyi Zhang, Zhenjiang Miao, Cong Ma, Shanshan Hao
      Pages 601-610

    11. Convexity Preserving Contraction of Digital Sets

      • Lama Tarsissi, David Coeurjolly, Yukiko Kenmochi, Pascal Romon
      Pages 611-624

    12. Parallax-Tolerant Video Stitching with Moving Foregrounds

      • Muhammad Umer Kakli, Yongju Cho, Jeongil Seo
      Pages 625-639

    13. Prototype-Based Interpretation of Pathological Image Analysis by Convolutional Neural Networks

      • Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi
      Pages 640-652

    14. Design of an Optical Filter to Improve Green Pepper Segmentation Using a Deep Neural Network

      • Jun Yu, Xinzhi Liu, Pan Wang, Toru Kurihara
      Pages 653-666

    15. Eye Contact Detection from Third Person Video

      • Yuki Ohshima, Atsushi Nakazawa
      Pages 667-677

    16. Semi-supervised Early Event Detection

      • Liping Xie, Chen Gong, Jinxia Zhang, Shuo Shan, Haikun Wei
      Pages 678-690

    17. A Web-Based Augmented Reality Approach to Instantly View and Display 4D Medical Images

      • Huy Le, Minh Nguyen, Wei Qi Yan
      Pages 691-704

    18. Group Activity Recognition via Computing Human Pose Motion History and Collective Map from Video

      • Hsing-Yu Chen, Shang-Hong Lai
      Pages 705-718

    19. DeepRoom: 3D Room Layout and Pose Estimation from a Single Image

      • Hung Jin Lin, Shang-Hong Lai
      Pages 719-733

    20. Multi-task Learning for Fine-Grained Eye Disease Prediction

      • Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash
      Pages 734-749
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Other volumes

  1. Pattern Recognition

  2. Pattern Recognition

  3. Pattern Recognition

Keywords

About this book

This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019.
The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.

Editors and Affiliations

  • University of Malaya, Kuala Lumpur, Malaysia

    Shivakumara Palaiahnakote

  • Consiglio Nazionale delle Ricerche, ICAR, Naples, Italy

    Gabriella Sanniti di Baja

  • Chinese Academy of Sciences, Beijing, China

    Liang Wang

  • Auckland University of Technology, Auckland, New Zealand

    Wei Qi Yan

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