Rapid image retargeting based on curve-edge grid representation

Tongwei Ren, Yan Liu, Gangshan Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)


Image retargeting technique attracts more and more attention for convenient image display on mobile devices. However, current methods can't well balance the retargeting efficiency and effectiveness, which limits their applications on the mobile devices with low computing ability. In this paper, we propose a novel image retargeting approach by combining uniform sampling and structure-aware curve-edge grid representation. We first decompose the original image into curve-edge grids by dynamic programming, and then generate the target image by uniformly sampling the pixels within the grids. The simplicity of retargeting procedure and sampling strategy enables our approach to easily achieve good computational efficiency. Furthermore, the constraint of curve-edge grid representation ensures important content emphasis and image structure preservation in the target image. Experiments on different images demonstrate the effectiveness and efficiency of our approach.
Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Number of pages4
Publication statusPublished - 1 Dec 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 26 Sept 201029 Sept 2010


Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/TerritoryHong Kong
CityHong Kong


  • Curve-edge grid
  • Image retargeting
  • Structure-aware representation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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