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논문검색

Color Adjustment Based on Support Vector Regression for Multi-View Video

원문정보

Huadong Sun, Xuesong Jin, Zhipeng Fan, Lizhi Zhang, Qian Wu

보안공학연구지원센터(IJMUE) International Journal of Multimedia and Ubiquitous Engineering Vol.10 No.1 2015.01 pp.127-136
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

Significant color discrepancies between the different camera views can be observed in multi-view video sequences. In this paper, a color adjustment algorithm based on support vector regression is proposed. A mapping function is established by extracted feature points from original-image and target-image. Then the mapping function is applied to the original image to obtain the corrected image. Experimental results show that the proposed method can produce good correction result. It also shows that the color differences between multi-view video can be effectively reduced by SVR.

목차

Abstract
 1. Introduction
 2. Support Vector Regression
 3. Color Correction Based on the Support Vector Regression
  3.1. CIELAB Color Workspace
  3.2. Selection of Training Data
  3.3. Color Correction Algorithm Based on SVR
 4. Experimental Results and Analysis
 5. Conclusion
 Acknowledgement
 References

키워드

저자정보

  • Huadong Sun Huadong Sun,. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China
  • Xuesong Jin School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China
  • Zhipeng Fan School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China
  • Lizhi Zhang School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China
  • Qian Wu School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China

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자료제공 : 네이버학술정보

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