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Pattern Recognition

7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Tieniu Tan

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  2. Xuelong Li

    1. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China

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  3. Xilin Chen

    1. Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

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  4. Jie Zhou

    1. Tsinghua University , Beijing, China

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  5. Jian Yang

    1. Nanjing University of Science and Technology, Nanjing, China

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  6. Hong Cheng

    1. University of Electronic Science and Technology, Chengdu, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 663)

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Conference proceedings info: CCPR 2016.

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About this book

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

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Table of contents (59 papers)

  1. Front Matter

    Pages I-XXIII
    Download chapter PDF

  2. Image and Video Processing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Saliency Region Detection via Graph Model and Statistical Learning

      • Ling Huang, Songguang Tang, Jiani Hu, Weihong Deng
      Pages 3-13

    3. An Efficient Gabor Feature-Based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification

      • Sen Jia, Bin Deng
      Pages 14-25

    4. Single Image Haze Removal Based on Priori Image Geometry and Edge-Preserving Filtering

      • Fan Guo, Changjun Zhu
      Pages 26-41

    5. Semantic Segmentation with Modified Deep Residual Networks

      • Xinze Chen, Guangliang Cheng, Yinghao Cai, Dayong Wen, Heping Li
      Pages 42-54

    6. A Quantum-Inspired Fuzzy Clustering for Solid Oxide Fuel Cell Anode Optical Microscope Images Segmentation

      • Yuhan Xiang, Xiaowei Fu, Li Chen, Xin Xu, Xi Li
      Pages 55-64

    7. Document Image Super-Resolution Reconstruction Based on Clustering Learning and Kernel Regression

      • Li Li, Haibin Liao, Youbin Chen
      Pages 65-77

    8. Image Fusion and Super-Resolution with Convolutional Neural Network

      • Jinying Zhong, Bin Yang, Yuehua Li, Fei Zhong, Zhongze Chen
      Pages 78-88

    9. Robust Segmentation for Video Captions with Complex Backgrounds

      • Zong-Heng Xing, Fang Zhou, Shu Tian, Xu-Cheng Yin
      Pages 89-100

    10. Single Low-Light Image Enhancement Using Luminance Map

      • Juan Song, Liang Zhang, Peiyi Shen, Xilu Peng, Guangming Zhu
      Pages 101-110

    11. Image Copy Detection Based on Convolutional Neural Networks

      • Jing Zhang, Wenting Zhu, Bing Li, Weiming Hu, Jinfeng Yang
      Pages 111-121

    12. Perceptual Loss with Fully Convolutional for Image Residual Denoising

      • Tao Pan, Fu Zhongliang, Wang Lili, Zhu Kai
      Pages 122-132

    13. Single Image Super Resolution Through Multi Extreme Learning Machine Regressor Fusion

      • Xiang Wang, Zongliang Gan, Lina Qi, Changhong Chen, Feng Liu
      Pages 133-146

    14. Learning-Based Weighted Total Variation for Structure Preserving Texture Removal

      • Shoufeng Zheng, Chunwei Song, Hongzhi Zhang, Zifei Yan, Wangmeng Zuo
      Pages 147-160

    15. A Novel Texture Extraction Method for the Sedimentary Structures’ Classification of Petroleum Imaging Logging

      • Haoqi Gao, Huafeng Wang, Zhou Feng, Mingxia Fu, Chennan Ma, Haixia Pan et al.
      Pages 161-172

    16. Rank Beauty

      • Yanbing Liao, Weihong Deng, Can Cui
      Pages 173-181

    17. Robust Optic Disc Detection Based on Multi-features and Two-Stage Decision Strategy

      • Wang Ying, Zhang Dongbo, Huang Huixian, Zhang Ying
      Pages 182-190

    18. Hierarchical Saliency Detection Under Foggy Weather Fusing Spectral Residual and Phase Spectrum

      • Kun Liu, Jia Tian, Xiu-ping Su, Yu-qiang Zhou, Jie Wang
      Pages 191-201

    19. Hierarchical Image Matching Method Based on Free-Form Linear Features

      • Xiaowei Chen, Haitao Guo, Chuan Zhao, Baoming Zhang, Yuzhun Lin
      Pages 202-217
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Other volumes

  1. Pattern Recognition

  2. Pattern Recognition

Editors and Affiliations

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  • Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China

    Xuelong Li

  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

    Xilin Chen

  • Tsinghua University , Beijing, China

    Jie Zhou

  • Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

  • University of Electronic Science and Technology, Chengdu, China

    Hong Cheng

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