Earticle

초록

영어

Measurement of image similarity is a fundamental issue in both image processing and computer vision and is very important for image retargeting applications, which have drawn much attention in recent years. In this paper, we propose a new similarity measure with deformation detection of visual salient regions for image retargeting. According to the fact that the human visual system is sensitive to content changes as well as visual effect variations, the proposed approach combines content similarity and visual effect similarity. Firstly, a content correspondence between original and retargeted images is established, which aims to assess their content similarity. Secondly, deformation detection of visual salient regions between two images is conducted to measure their visual effect similarity. Real images have been used to test the proposed method and very good results have been achieved, validating it.

목차

Abstract
 1. Introduction
 2. Framework of the Proposed Similarity Measure
 3. Measure of Content Similarity
  3.1. Find Seams
  3.2. Divide Image into Regions
  3.3. Match Regions
  3.4. Calculate Content Similarity
 4. Measure of Visual Effect Similarity
  4.1. Deformation Detection of Visual Salient Regions
  4.2. Assess Visual Effect Similarity
 5. Similarity Measure for Image Retargeting
 6. Experiments and Results
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Canlin Li [ School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China ]
• Fubao Zhu [ School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China ]
• Rijian Su [ School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China ]

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