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Actions as Space-Time Shapes
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes induced by theExpand
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Actions as Space-Time Shapes
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes induced by theExpand
  • 1,516
  • 251
Improving resolution by image registration
Abstract Image resolution can be improved when the relative displacements in image sequences are known accurately, and some knowledge of the imaging process is available. The proposed approach isExpand
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In defense of Nearest-Neighbor based image classification
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric nearest-neighbor (NN) based image classifiersExpand
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Actions as space-time shapes
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes induced by theExpand
  • 1,453
  • 147
  • PDF
Super-resolution from a single image
Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misalignments), and (ii)Expand
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Matching Local Self-Similarities across Images and Videos
  • E. Shechtman, M. Irani
  • Mathematics, Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 17 June 2007
We present an approach for measuring similarity between visual entities (images or videos) based on matching internal self-similarities. What is correlated across images (or across video sequences)Expand
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Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency
Abstract Accurate computation of image motion enables the enhancement of image sequences. In scenes having multiple moving objects the motion computation is performed together with objectExpand
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Space-Time Completion of Video
This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a well-defined objectiveExpand
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Video Segmentation by Non-Local Consensus voting
We address the problem of Foreground/Background segmentation of “unconstrained” video. By “unconstrained” we mean that the moving objects and the background scene may be highly non-rigid (e.g., wavesExpand
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