Visual Saliency Highlighting

Work performed at the Australian Centre for Field Robotics

Traditional AUV surveys will capture large amounts of data regardless of the contents or the potential value of the data. In an exploratory context, scientists are typically interested in reviewing and mining data for unique geological or benthic features. This can be a difficult and time consuming task when confronted with thousands or tens of thousands of images. The technique shown here uses information theoretic methods to identify unusual images within large data sets.

Associated Publications:
 

• Saliency Ranking for Benthic Survey using Underwater Images, International Conference on Control, Automation, Robotics and Vision, 2010