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Image Analysis and Recognition

16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27–29, 2019, Proceedings, Part II

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Fakhri Karray

    1. University of Waterloo, Waterloo, Canada

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  2. Aurélio Campilho

    1. University of Porto, Porto, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  3. Alfred Yu

    1. University of Waterloo, Waterloo, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11663)

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

Included in the following conference series:

Conference proceedings info: ICIAR 2019.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xxii
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  2. Deep Learning on the Edge

    1. Front Matter

      Pages 1-1
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    2. Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks

      • Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia
      Pages 3-14

    3. NetScore: Towards Universal Metrics for Large-Scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage

      • Alexander Wong
      Pages 15-26

    4. Real-Time Person Re-identification at the Edge: A Mixed Precision Approach

      • Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi
      Pages 27-39

    5. Product Recommendation Through Real-Time Object Recognition on Image Classifiers

      • Nelson Forte de Souza Junior, Leandro Augusto da Silva, Mauricio Marengoni
      Pages 40-51

    6. Visual Inspection with Federated Learning

      • Xu Han, Haoran Yu, Haisong Gu
      Pages 52-64

  3. Recognition

    1. Front Matter

      Pages 65-65
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    2. Looking Under the Hood: Visualizing What LSTMs Learn

      • Dhruva Patil, Bruce A. Draper, J. Ross Beveridge
      Pages 67-80

    3. Information Fusion via Multimodal Hashing with Discriminant Canonical Correlation Maximization

      • Lei Gao, Ling Guan
      Pages 81-93

    4. Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting

      • Kamal Maanicshah, Samr Ali, Wentao Fan, Nizar Bouguila
      Pages 94-105

    5. TPUAR-Net: Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation

      • Mahmoud Khaled Abd-Ellah, Ashraf A. M. Khalaf, Ali Ismail Awad, Hesham F. A. Hamed
      Pages 106-116

    6. Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting

      • Hieu Nguyen, Kamal Maanicshah, Muhammad Azam, Nizar Bouguila
      Pages 117-128

    7. Sequential Image Synthesis for Human Activity Video Generation

      • Fahim Hasan Khan, Akila de Silva, Jayanth Yetukuri, Narges Norouzi
      Pages 129-133

    8. A Deep Learning-Based Noise-Resilient Keyword Spotting Engine for Embedded Platforms

      • Ramzi Abdelmoula, Alaa Khamis, Fakhri Karray
      Pages 134-146

    9. A Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections

      • Alison K. Cheeseman, Hamid Tizhoosh, Edward R. Vrscay
      Pages 147-158

    10. Computer-Aided Tumor Segmentation from T2-Weighted MR Images of Patient-Derived Tumor Xenografts

      • Sudipta Roy, Kooresh Isaac Shoghi
      Pages 159-171

  4. Applications

    1. Front Matter

      Pages 173-173
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    2. Sit-to-Stand Analysis in the Wild Using Silhouettes for Longitudinal Health Monitoring

      • Alessandro Masullo, Tilo Burghardt, Toby Perrett, Dima Damen, Majid Mirmehdi
      Pages 175-185

    3. Target Aware Visual Object Tracking

      • Caner Ozer, Filiz Gurkan, Bilge Gunsel
      Pages 186-198
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Other volumes

  1. Image Analysis and Recognition

  2. Image Analysis and Recognition

Keywords

About this book

This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019.

The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.

Editors and Affiliations

  • University of Waterloo, Waterloo, Canada

    Fakhri Karray, Alfred Yu

  • University of Porto, Porto, Portugal

    Aurélio Campilho

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