Research on time-series data visualization method based on parameterized parallel coordinates and color mapping function

Research on time-series data visualization method based on parameterized parallel coordinates and color mapping function
https://ieeexplore.ieee.org/document/6223048

Reference

1. YU SHDONG ZHANGSHENGNAN Study on Enhance Visibility of Parallel Coordinates
2. Abel Matus-Castillejos and Ric Jentzsch A Time Series Data Management Framework
3. YANG Yjnxial. XIE Kanglin, ZHU Jianqiu TSD PVAP Method of the Pixe1. oriented Visualization Analysis of Time Series Data Vol.30 No. 18 Computer Engineering September 2004
4. Marc Weber Marc Alexa Wolfgang Müller Visualizing Time-Series on Spirals
5. Harry Hochheiser Ben Shneiderman Dynamic query tools for time series data sets: Timebox widgets for interactive exploration Information Visualization (2004) 3, 1-18.2004 Palgrave Macmillan Ltd.
6. Aleks Aris, Ben Shneiderman, Catherine Plaisant, Galit Shmueli and Wolfgang Jank Representing Unevenly-Spaced Time Series Data for Visualization and Interactive Exploration
7. Alfred Inselberg. Parallel Coordinates visual Multidimensional Geometry and Its Applications
8. Ying-Huey Fua, Matthew O. Ward and Elke A. Rundensteiner. Hierarchical Parallel Coordinates for Exploration of Large Datasets
9. Stephen Few. Multivariate Analysis Using Parallel Coordinates
10. Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller. V-Miner: Using Enhanced Parallel Coordinates to Mine Product Design and Test Data
11. Yuan Xiaoru, Zhang Xin, Xiao He, Guo Hanqi Visualization Research Frontier and Prospect ISSN1674-9480 CN 11-5943/TP. Vol.2 No.4 July 2011
12. LEI Jun-hu YANG Jia-hong ZHONG Jian-cheng WANG Su-wei High-dimensional Data Visualization Based on Principal Component Analysis and Parallel Coordinate Vol.37 No.1 Computer Engineering January 2011
13. Sefy Kagarlitsky, Yael Moses, and Yacov Hel-Or Piecewise-consistent Color Mappings of Images Acquired Under Various Conditions 2009 IEEE 12th International Conference on Computer Vision (ICCV)
14. Peter ODonovan Aseem Agarwala Aaron Hertzmann Color Compatibility From Large Datasets ACM Transactions on Graphics, Vol. 30, No. 4, Article 63, Publication date: July 2011.
15. Kazufumi Kaneda, Yoshinori Dobashi, Kazunori Yamamoto, and Hideo Yamashita Fast Volume Rendering with Adjustable Color Maps
16. Fan-Yin Tzeng Eric B. Lum Kwan-Liu Ma A Novel Interface for Higher-Dimensional Classification of Volume Data Proceeding of the 14 IEEE Visualization Conference (VIS03) 0-7695-2030-8/03 2003 IEEE
17. Ishit Makwana, Tanish Zaveri, Vivek Gupta Efficient Color Transfer Method based on Colormap Clustering for Night Vision Applications 2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics
18. Ji Won Lee, Rae-Hong Park Soon Keun Chang Tone Mapping Using Color Correction Function and Image Decomposition in High Dynamic Range Imaging IEEE Transactions on Consumer Electronics, Vol. 56, No. 4, November 2010
19. Fulya Erbay, Emre Turgay Gözde B. Akar HSV RENK UZAYINDA SÜPER ÇÖZÜNÜRLÜK COLOR SUPER RESOLUTION IN HSV DOMAIN 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU 2011)
20. Morse PM, Feshbach H. Methods of Theoretical Physics, Part I. New York: McGraw-Hill. 1953: p. 656. ISBN 0-07-043316-X.
21. http://en.wikipedia.org/wiki/Parallelcoordinates
22. Image Processing Toolbox 6 Users Guide

Related Notes

Strategy to some summary and propose to AUTOSAR, SDV and Software Factory.
https://qiita.com/kaizen_nagoya/items/d36a9eba629022276918

AUTOSAR paper on arXiv
https://qiita.com/kaizen_nagoya/items/7c2355275ec53dbdc7a2

sdv, autosar and software factory papers on arxiv and their references
https://qiita.com/kaizen_nagoya/items/0eb7e74d049133ae4bfe

AUTOSAR on arXiv reference paper summary
https://qiita.com/kaizen_nagoya/items/aa639a268aaa56c5a501

Yet another strategy for papers on Software Engineering.
https://qiita.com/kaizen_nagoya/items/d186dfcb4d4f7cd1dcf1