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Graphcut textures: image and video synthesis using graph cuts
In this paper we introduce a new algorithm for image and video texture synthesis. In our approach, patch regions from a sample image or video are transformed and copied to the output and thenExpand
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Efficient hierarchical graph-based video segmentation
We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by over-segmenting a volumetric video graphExpand
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The Aware Home: A Living Laboratory for Ubiquitous Computing Research
We are building a home, called the Aware Home, to create a living laboratory for research in ubiquitous computing for everyday activities. This paper introduces the Aware Home project and outlinesExpand
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Texture optimization for example-based synthesis
We present a novel technique for texture synthesis using optimization. We define a Markov Random Field (MRF)-based similarity metric for measuring the quality of synthesized texture with respect to aExpand
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One-Shot Learning for Semantic Segmentation
Low-shot learning methods for image classification support learning from sparse data. We extend these techniques to support dense semantic image segmentation. Specifically, we train a network that,Expand
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Auto-directed video stabilization with robust L1 optimal camera paths
We present a novel algorithm for automatically applying constrainable, L1-optimal camera paths to generate stabilized videos by removing undesired motions. Our goal is to compute camera paths thatExpand
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Coding, Analysis, Interpretation, and Recognition of Facial Expressions
We describe a computer vision system for observing facial motion by using an optimal estimation optical flow method coupled with geometric, physical and motion-based dynamic models describing theExpand
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Image and video based painterly animation
We present techniques for transforming images and videos into painterly animations depicting different artistic styles. Our techniques rely on image and video analysis to compute appearance andExpand
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Texture optimization for example-based synthesis
We present a novel technique for texture synthesis using optimization. We define a Markov Random Field (MRF)-based similarity metric for measuring the quality of synthesized texture with respect to aExpand
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A practical approach for recognizing eating moments with wrist-mounted inertial sensing
Recognizing when eating activities take place is one of the key challenges in automated food intake monitoring. Despite progress over the years, most proposed approaches have been largely impracticalExpand
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