Journal
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Volume 19, Issue 11, Pages 1808-1819Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2013.99
Keywords
Change blindness; image synthesis
Categories
Funding
- National Basic Research Project of China [2011CB302205]
- National High Technology Research and Development Program of China [2012AA011801]
- Natural Science Foundation of China [61170153]
- RGC General Research Fund [CUHK 417411]
- CUHK SHIAE [8115034]
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Change blindness refers to human inability to recognize large visual changes between images. In this paper, we present the first computational model of change blindness to quantify the degree of blindness between an image pair. It comprises a novel context-dependent saliency model and a measure of change, the former dependent on the site of the change, and the latter describing the amount of change. This saliency model in particular addresses the influence of background complexity, which plays an important role in the phenomenon of change blindness. Using the proposed computational model, we are able to synthesize changed images with desired degrees of blindness. User studies and comparisons to state-of-the-art saliency models demonstrate the effectiveness of our model.
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