Pattern Recognition

1. Front Matter

   Pages I-XXIII

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2. Image and Video Processing

   1. Front Matter

      Pages 1-1

      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

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.

• object detection
• object tracking
• face recognition
• emotion recognition
• neural network
• classification
• clustering
• segmentation
• feature extraction
• face annotation
• hand gesture
• machine learning
• image retrieval
• SVM
• Super-resolution
• Kernel classifier
• Saliency
• sparse representation
• image denoising

• 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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