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Image and Video Technology

PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

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Editors:
  1. Joel Janek Dabrowski

    1. CSIRO, St. Lucia, Australia

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  2. Ashfaqur Rahman

    1. CSIRO, Sandy Bay, Australia

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    You can also search for this editor in PubMed   Google Scholar

  3. Manoranjan Paul

    1. Charles Sturt University, Bathurst, Australia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11994)

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

Included in the following conference series:

Conference proceedings info: PSIVT 2019.

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of four international workshops held in the framework of the 9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019, in Sydney, NSW, Australia, in November 2019: Vision-Tech: Workshop on Challenges, Technology, and Solutions in the Areas of Computer Vision; Workshop on Passive and Active Electro‐Optical Sensors for Aerial and Space Imaging; Workshop on Deep Learning and Image Processing Techniques for Medical Images; and Workshop on Deep Learning for Video and Image Analysis.
The 16 revised full papers presented were carefully selected from 26 submissions. The papers cover the full range of state-of-the-art research in image and video technology with topics ranging from well-established areas to novel current trends.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Vision-Tech: A Workshop on Challenges, Technology, and Solutions in the Areas of Computer Vision

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Rain Streak Removal with Well-Recovered Moving Objects from Video Sequences Using Photometric Correlation

      • Muhammad Rafiqul Islam, Manoranjan Paul, Michael Antolovich
      Pages 3-13

    3. Face Analysis: State of the Art and Ethical Challenges

      • Domingo Mery
      Pages 14-29

    4. Location Analysis Based Waiting Time Optimisation

      • Hami Aksu, Wolfgang Dorner, Lihong Zheng
      Pages 30-41

  3. Passive and Active Electro-Optical Sensors for Aerial and Space Imaging

    1. Front Matter

      Pages 43-43
      Download chapter PDF

    2. In-Orbit Geometric Calibration of Firebird’s Infrared Line Cameras

      • Jürgen Wohlfeil, Tilman Bucher, Anko Börner, Christian Fischer, Olaf Frauenberger, Björn Piltz
      Pages 45-58

    3. Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors

      • Henry Meißner, Michael Cramer, Ralf Reulke
      Pages 59-69

  4. International Workshop on Deep Learning and Image Processing Techniques for Medical Images

    1. Front Matter

      Pages 71-71
      Download chapter PDF

    2. 3D Image Reconstruction from Multi-focus Microscopic Images

      • Takahiro Yamaguchi, Hajime Nagahara, Ken’ichi Morooka, Yuta Nakashima, Yuki Uranishi, Shoko Miyauchi et al.
      Pages 73-85

    3. Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity

      • Faranak Tohidi, Manoranjan Paul, Mohammad Reza Hooshmandasl, Subrata Chakraborty, Biswajeet Pradhan
      Pages 86-99

    4. GAN-Based Method for Synthesizing Multi-focus Cell Images

      • Ken’ich Morooka, Xueru Zhang, Shoko Miyauchi, Ryo Kurazume, Eiji Ohno
      Pages 100-107

  5. International Workshop on Deep Learning for Video and Image Analysis

    1. Front Matter

      Pages 109-109
      Download chapter PDF

    2. Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function

      • Isaac Ronald Ward, M. A. Asim K. Jalwana, Mohammed Bennamoun
      Pages 111-124

    3. Face-Based Age and Gender Classification Using Deep Learning Model

      • Olatunbosun Agbo-Ajala, Serestina Viriri
      Pages 125-137

    4. SO-Net: Joint Semantic Segmentation and Obstacle Detection Using Deep Fusion of Monocular Camera and Radar

      • V. John, M. K. Nithilan, S. Mita, H. Tehrani, R. S. Sudheesh, P. P. Lalu
      Pages 138-148

    5. Deep Forest Approach for Facial Expression Recognition

      • Olufisayo Ekundayo, Serestina Viriri
      Pages 149-161

    6. Weed Density Estimation Using Semantic Segmentation

      • Muhammad Hamza Asad, Abdul Bais
      Pages 162-171

    7. Detecting Global Exam Events in Invigilation Videos Using 3D Convolutional Neural Network

      • Zichun Dai, Chao Sun, Xinguo Yu, Ying Xiang
      Pages 172-182

    8. Spatial Hierarchical Analysis Deep Neural Network for RGB-D Object Recognition

      • Syed Afaq Ali Shah
      Pages 183-193
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Other volumes

  1. Image and Video Technology

  2. Image and Video Technology

Editors and Affiliations

  • CSIRO, St. Lucia, Australia

    Joel Janek Dabrowski

  • CSIRO, Sandy Bay, Australia

    Ashfaqur Rahman

  • Charles Sturt University, Bathurst, Australia

    Manoranjan Paul

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