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Digital TV and Multimedia Communication

15th International Forum, IFTC 2018, Shanghai, China, September 20–21, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

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Editors:
  1. Guangtao Zhai

    1. Shanghai Jiao Tong University, Shanghai, China

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  2. Jun Zhou

    1. Shanghai Jiao Tong University, Shanghai, China

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  3. Ping An

    1. Shanghai University, Shanghai, China

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  4. Xiaokang Yang

    1. Shanghai Jiao Tong University, Shanghai, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1009)

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Conference proceedings info: IFTC 2018.

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About this book

This book presents revised selected papers from the 15th International Forum on Digital TV and Multimedia Communication, IFTC 2018, held in Shanghai, China, in September 2018.

The 39 full papers presented in this volume were carefully reviewed and selected from 130 submissions. They were organized in topical sections on image processing; machine learning; quality assessment;  telecommunications; video coding; video surveillance; virtual reality.

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Keywords

Table of contents (39 papers)

  1. Front Matter

    Pages i-xii
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  2. Image Processing

    1. Front Matter

      Pages 1-1
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    2. An Image Enhancement Based CDVS Matching Algorithm

      • Linlin Zhu, Guozhong Wang, Guowei Teng, Zhenglong Yang, Ming He, Tao Wang
      Pages 3-15

    3. An Improved Seam-Line Searching Algorithm Based on Object Detection

      • Rui Sun, Chuanzhen Li, Wei Zhong, Long Ye
      Pages 16-30

    4. Enhanced Saliency Prediction via Free Energy Principle

      • Peng Ye, Yongfang Wang, Yumeng Xia, Ping An, Jian Zhang
      Pages 31-44

    5. Design of 2D Checkboard Nonuniform Directional Filter Banks and Its Application to Image Nonlinear Approximation

      • Wei Zhong, Kaiyang Xia, Li Fang, Long Ye, Qin Zhang
      Pages 45-54

    6. Super-Resolution Restoration for Sonar Images: Comprehensive Comparison

      • Weiling Chen, Zhuang Yang, Huiqing Zhang, Yi Zhu, Yutao Liu
      Pages 55-64

    7. How to Reliably Upsample Screen Content Images?

      • Jun Wu, Zhuang Yang, Du Peng, Cong Guo, Huiqing Zhang
      Pages 65-73

    8. Design of Online Annotation and Incision System for IVUS Images

      • Yaowen Zhu, Yankun Cao, Pengfei Zhang, Haixia Hou, Zhi Liu
      Pages 74-90

    9. Locally Adaptive Noise Covariance Estimation for Color Images

      • Li Dong, Jiantao Zhou
      Pages 91-105

    10. SAR Image Change Detection Using Several Filters Combined with Log Difference Image

      • Jiaqi Yu
      Pages 106-117

    11. Simulation and Experiment on Artificial Landmark-Based Monocular Visual Navigation System for Mobile Robot

      • Jing Hu, Xianbin Xu, Yuanhua Yang, Mengjia Yin
      Pages 118-130

  3. Machine Learning

    1. Front Matter

      Pages 131-131
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    2. Deep Neural Network Acceleration Method Based on Sparsity

      • Ming He, Haiwu Zhao, Guozhong Wang, Yu Chen, Linlin Zhu, Yuan Gao
      Pages 133-145

    3. Feature-Selecting Based Hashing via Deep Convolutional Neural Networks

      • Honghe Zheng, Ran Ma, Ping An, Tong Li
      Pages 146-155

    4. Efficient and Robust Homography Estimation Using Compressed Convolutional Neural Network

      • Guoping Wang, Zhixiang You, Ping An, Jiadong Yu, Yilei Chen
      Pages 156-168

    5. Improving Semantic Style Transfer Using Guided Gram Matrices

      • Chung Nicolas, Rong Xie, Li Song, Wenjun Zhang
      Pages 169-183

    6. Multi-CNNs Bootstrap Against Label Noise with Applications in Age Estimation

      • Yuying Su, Guangling Sun, Weiqi Fan
      Pages 184-193

    7. Real-Time Semantic Mapping of Visual SLAM Based on DCNN

      • Xudong Chen, Yu Zhu, Bingbing Zheng, Junjian Huang
      Pages 194-204

    8. DDoS Attacks Detection Using Machine Learning Algorithms

      • Qian Li, Linhai Meng, Yuan Zhang, Jinyao Yan
      Pages 205-216
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Other volumes

  1. Digital TV and Multimedia Communication

Editors and Affiliations

  • Shanghai Jiao Tong University, Shanghai, China

    Guangtao Zhai, Jun Zhou, Xiaokang Yang

  • Shanghai University, Shanghai, China

    Ping An

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