How to Measure the Relevance of a Retargeting Approach?

  • Christel Chamaret
  • Olivier Le Meur
  • Philippe Guillotel
  • Jean-Claude Chevet
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6554)


Most cell phones today can receive and display video content. Nonetheless, we are still significantly behind the point where premium made for mobile content is mainstream, largely available, and affordable. Significant issues must be overcome. The small screen size is one of them. Indeed, the direct transfer of conventional contents (i.e. not specifically shot for mobile devices) will provide a video in which the main characters or objects of interest may become indistinguishable from the rest of the scene. Therefore, it is required to retarget the content. Different solutions exist, either based on distortion of the image, on removal of redundant areas, or cropping. The most efficient ones are based on dynamic adaptation of the cropping window. They significantly improve the viewing experience by zooming in the regions of interest. Currently, there is no common agreement on how to compare different solutions. A retargeting metric is proposed in order to gauge its quality. Eye-tracking experiments, zooming effect through coverage ratio and temporal consistency are introduced and discussed.


Video Sequence Visual Attention Video Content Coverage Ratio Temporal Consistency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Christel Chamaret
    • 1
  • Olivier Le Meur
    • 2
  • Philippe Guillotel
    • 1
  • Jean-Claude Chevet
    • 1
  1. 1.Technicolor R&IFrance
  2. 2.University of Rennes 1France

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