Mobile image retargeting

Daniel Graf, Daniele Panozzo, Olga Sorkine-Hornung

Research output: Contribution to conferencePaperpeer-review


We propose an algorithm for axis-aligned content-aware image retargeting that is specifically optimized for mobile devices, and we show that interactive image retargeting is possible even with a low-power, mobile CPU. Our retargeting operator is based on non-uniform scaling and cropping and produces results that are on par with state-of-the-art on a large collection of images. Taking the limited screen space of mobile devices into account, we design a novel user interface that allows painting the saliency map directly onto the retargeted image while the system is continuously recomputing the retargeted result at interactive rates. Finally, we apply our algorithm in a picture gallery application to greatly improve the screen space utilization in mobile device settings.

Original languageEnglish (US)
Number of pages8
StatePublished - 2013
Event18th International Workshop on Vision, Modeling and Visualization, VMV 2013 - Lugano, Switzerland
Duration: Sep 11 2013Sep 13 2013


Other18th International Workshop on Vision, Modeling and Visualization, VMV 2013

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Modeling and Simulation


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