Earticle

초록

영어

In recent years, image retargeting has been an active research topic due to the rapid growth of mobile devices and display screens with different resolutions and aspect ratios. To address this problem, various content-aware image-retargeting approaches have been proposed to retarget images while preserving important regions and minimizing distortions. In our research, the goal is to propose a new integrated content-aware image retargeting system that outperforms other traditional approaches. At the beginning, an improved context-aware saliency detection approach is applied for detecting low-level saliency. Then, a high level salient feature—human faces—is also incorporated using an improved Viola-Jones face detector with a skin color detector as a post-processing stage, to construct the final importance map. Finally, a non-uniform image scaling approach is employed as the retargeting stage. Experimental study over a set of 74 benchmark images demonstrated that the proposed system overcomes most of the drawbacks of other existing approaches.

목차

Abstract
 1. Introduction
 2. Proposed Integrated Content-aware Image Retargeting System
  2.1. Improved Context-aware Saliency Detection
  2.2. Improved Viola-Jones Face Detector
  2.3. Non-uniform Scaling
 3. Experimental Results
 4. Conclusion and Future Work
 References

키워드

저자

• Shanshan Wang [ Department of Mathematics and Computer Science Laurentian University Ramsey Lake Road, Sudbury, Ontario, Canada ]
• Amr Abdel-Dayem [ Department of Mathematics and Computer Science Laurentian University Ramsey Lake Road, Sudbury, Ontario, Canada ]

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