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A novel framework for image inpainting is proposed, relying on graph-based diffusion processes. Depending on the construction of the graph, both flow-based and exemplar-based inpainting methods can be implemented by the same equations, hence providing a unique framework for geometry and texture-based approaches to inpainting. Furthermore, the use of a variational framework allows to overcome the usual...
Stream surfaces are an intuitive approach to represent 3D vector fields. In many cases, however, they are challenging objects to visualize and to understand, due to a high degree of self-occlusion. Despite the need for adequate rendering methods, little work has been done so far in this important research area. In this paper, we present an illustrative rendering strategy for stream surfaces. In our...
An approach for human action retrieval in videos is proposed. Based on the volumetric analysis, actions in videos are represented by part-based cuboids. To make full use of the structural information, an explicit shape model (ESM) is designed for probabilistic latent semantic analysis (pLSA). To ensure enough cuboids can be extracted, an improved detector is used at multiple frequencies. Experimental...
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