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The key problem in photo album compression is how to exploit the correlation among the images. In this paper, we propose a novel incremental structure from motion (SfM) based prediction method for lossless photo album compression. Unlike the previous methods, we exploit the redundancy among images through their inherent geometric relationship generated by SfM. Based on the point cloud and camera poses,...
In the era of cloud computing, there are many correlated images in the cloud, joint compression of these images may provide much higher compression ratio than individual coding. Model-based coding is an appealing approach to image coding in the cloud, as it removes knowledge redundancy among images that share the same model. In this paper, we make an attempt to model-based image coding for landmark...
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