Earticle

초록

영어

In this paper, we proposed an algorithm which efficiently detects salient objects. First of all, yellow and intensity images are generated from input image and the feature map is generated using a contrast difference between red-green and blue-yellow channel. Secondly, Lookup-Table(LUT) is obtained by histogram of the feature map. Finally, the saliency map is obtained from LUT. The proposed saliency detector shows that this method is able to efficiently extract saliency maps by improving the AUC 10-40%, comparing to existing color-based method and frequency space transform method.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1 IT Method
  2.2 Spectral Residual (SR) Method
 3. Proposed Algorithm
  3.1 Generation of Yellow and Intensity Maps
  3.2 Extraction of Color Feature Images
  3.3 Generation of Histogram and LUT
  3.4 Conversion of Histograms to a Saliency Map
 4. Experiment and Analysis
  4.1 Experiment
  4.2 Analysis
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Changpyo Hong [ Department of Electronics Engineering, Chonbuk National University ]
• Jong Bin Park [ Department of Electronics Engineering, Chonbuk National University ]
• Sook Yoon [ Department of Multimedia Engineering, Mokpo National University ]
• Dong Sun Park [ Divison of Electronics Engineering, Chonbuk National University, IT Convergence Research Center, Chonbuk National University, Jeonbuk,, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605