Thumbnail Generation Based on Global Saliency

In this paper, we present a novel approach to generate thumbnail images. Our method crops an image into a smaller but more informative region in the thumbnail representation. From the perspective of information theory, we propose a novel approach to generate bottom-up saliency in a global manner. In our method, we evaluate the statistical distribution of feature maps, and use its coding length as a measurement for image cropping. The experimental results offer viewers a more effective representation of images.