Cluster-based saliency-guided content-aware image retargeting

Li Wei Kang*, Ching Yu Tseng, Chao Long Jheng, Ming Fang Weng, Chao Yung Hsu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Straightforward image resizing operators without considering image contents (e.g., uniform scaling) cannot usually produce satisfactory results, while content-aware image retargeting aims to arbitrarily change image size while preserving visually prominent features. In this paper, a cluster-based saliency-guided seam carving algorithm for contentaware image retargeting is proposed. To cope with the main drawback of the original seam carving algorithm relying on only gradient-based image importance map, we integrate a gradient-based map and a cluster-based saliency map to generate a more reliable importance map, resulting in better single image retargeting results. Experimental results have demonstrated the efficacy of the proposed algorithm.

Original languageEnglish
Pages (from-to)141-146
Number of pages6
JournalJournal of Electronic Science and Technology
Issue number2
Publication statusPublished - 2017 Jun 15
Externally publishedYes


  • Content-aware
  • Image resizing
  • Image retargeting
  • Multimedia adaptation
  • Saliency detection
  • Seam carving

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Cluster-based saliency-guided content-aware image retargeting'. Together they form a unique fingerprint.

Cite this