Object-coherence warping for stereoscopic image retargeting

Shih Syun Lin, Chao Hung Lin, Shu Huai Chang, Tong Yee Lee

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)


This paper addresses the topic of content-aware stereoscopic image retargeting. The key to this topic is consistently adapting a stereoscopic image to fit displays with various aspect ratios and sizes while preserving visually salient content. Most methods focus on preserving the disparities and shapes of visually salient objects through nonlinear image warping, in which distortions caused by warping are propagated to homogenous and low-significance regions. However, disregarding the consistency of object deformation sometimes results in apparent distortions in both the disparities and shapes of objects. An object-coherence warping scheme is proposed to reduce this unwanted distortion. The basic idea is to utilize the information of matched objects rather than that of matched pixels in warping. Such information implies object correspondences in a stereoscopic image pair, which allows the generation of an object significance map and the consistent preservation of objects. This strategy enables our method to consistently preserve both the disparities and shapes of visually salient objects, leading to good content-aware retargeting. In the experiments, qualitative and quantitative analyses of various stereoscopic images show that our results are better than those generated by related methods in terms of consistency of object preservation.

Original languageEnglish
Article number6665052
Pages (from-to)759-768
Number of pages10
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number5
Publication statusPublished - 2014 May

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering


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