Saliency-based adaptive scaling for image retargeting

Tanchao Zhu, Weiming Wang, Ping Liu, Yongming Xie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper, we propose a novel algorithm for image retargeting based on adaptive scaling methods. Our algorithm starts by adaptively partitioning the input image into number of strips according to the combined saliency map, which contains both gradient information and visual saliency to measure significant regions and is also used to guide the sampling process when scaling image strips. Experimental results show that our method can achieve better results than other content-aware image retargeting operators.

Original languageEnglish
Title of host publicationProceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011
Pages1201-1205
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 7th International Conference on Computational Intelligence and Security, CIS 2011 - Sanya, Hainan, China
Duration: 3 Dec 20114 Dec 2011

Publication series

NameProceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011

Conference

Conference2011 7th International Conference on Computational Intelligence and Security, CIS 2011
Country/TerritoryChina
CitySanya, Hainan
Period3/12/114/12/11

Keywords

  • Adaptive scaling
  • Image partitioning
  • Image retargeting
  • Saliency map

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