Image inpainting is the process of correcting undesirable changes to an image in an unobtrusive way. The existing literature in this research field describes predominantly techniques designed to correct narrow missing regions, which thus often produce undesirable results when the damaged region is large. This paper presents a novel exemplar-based image inpainting technique for automatic filling...

Direct policy search (DPS) is a method for machine learning, where the policy is represented by some parameters and they are optimized by evaluating the policy directly. We introduce exemplar based policy (EBP) optimization as a framework of DPS. An EBP is a policy composed of a set of exemplars which is parameter to be optimised, and a case-based action selector. An actual implementation with ...

A new exemplar-based probabilistic approach for face recognition in video sequences is presented. The approach has two stages: First, Exemplars, which are selected representatives from the raw video, are automatically extracted from gallery videos. The exemplars are used to summarize the gallery video information. In the second part, exemplars are then used as centers for probabilistic mixture ...

For a certain class of distributions, we prove that the linear programming relaxation of kmedoids clustering—a variant of k-means clustering where means are replaced by exemplars from within the dataset—distinguishes points drawn from nonoverlapping balls with high probability once the number of points drawn and the separation distance between any two balls are sufficiently large. Our results h...

Figures 1 and 2 supplement Figure 4 in our paper. In all cases, the input images come from our Helen [1] test set. We note that our algorithm generally produces accurate results, as shown in Figures 1. However, our algorithm is not perfect and makes mistakes on especially challenging input images, as shown in Figure 2. In our view, the mouth is the most challenging region of the face to segment...

Over recent years, a lot of progress has been made towards automatic annotation of video material, especially in the context of object and scene recognition. However, in comparison, action recognition is still in its infancy. Whereas originally silhouette-based approaches or approaches based on pose estimation have been studied mostly, good results have been reported recently using extensions o...

ions and the retention of exemplars of which those abstractions are composed. The work by Batali (2002), who investigates the emergence of semantic structures in language acquisition and evolution, can also be viewed in

This paper provides a new method to colorize gray-scale images. While the reverse operation is only a matter of standard, the colorization process is an ill-posed problem that requires some priors. In the literature two classes of approach exist. The first class includes manual methods that needs the user to manually add colors on the image to colorize. The second class includes exemplar-based ...

Though it has attracted growing attention from phonologists and phoneticians, Exemplar Theory (e.g. Bybee 2001) has hitherto lacked an explicit production model that can apply to speech signals. An adequate model must be able to generalize; but this presents the problem of how to generate an output that generalizes over a collection of unique, variable-length signals. Rather than resorting to a...