Stereoscopic thumbnail creation via efficient stereo saliency detection

Wenguan Wang, Jianbing Shen, Yizhou Yu, Kwan-Liu Ma

Research output: Contribution to journalArticlepeer-review

102 Scopus citations


In this paper, we propose a framework for automatically producing thumbnails from stereo image pairs. It has two components focusing respectively on stereo saliency detection and stereo thumbnail generation. The first component analyzes stereo saliency through various saliency stimuli, stereoscopic perception and the relevance between two stereo views. The second component uses stereo saliency to guide stereo thumbnail generation. We develop two types of thumbnail generation methods, both changing image size automatically. The first method is called content-persistent cropping (CPC), which aims at cropping stereo images for display devices with different aspect ratios while preserving as much content as possible. The second method is an object-Aware cropping method (OAC) for generating the smallest possible thumbnail pair that retains the most important content only and facilitates quick visual exploration of a stereo image database. Quantitative and qualitative experimental evaluations demonstrate promising performance of our thumbnail generation methods in comparison to state-of-The-Art algorithms.

Original languageEnglish (US)
Article number7544591
Pages (from-to)2014-2027
Number of pages14
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number8
StatePublished - Aug 1 2017


  • Image cropping
  • Stereo saliency
  • Stereoscopic thumbnails

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


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