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We study the problem of event detection from realistic videos with repetitive sequential human activities. Despite the large body of work on event detection and recognition, very few have addressed low-quality videos captured from realistic environments. Our framework is based on solving the shortest path on a temporal-event graph constructed from the video content. Graph vertices correspond to detected...
We present an inpainting method for images and videos based on nonlocal discrete p-Laplace regularization on weighted graphs. Our work has the advantage of unifying local geometric methods and nonlocal exemplar-based ones in the same framework. Our image inpainting benefits from local and nonlocal regularities within the image. In addition to that, our video inpainting exploits temporal and spatial...
To precisely segment Chinese characters in images and videos, we propose a novel recognition-based method in this paper. Our method consists of four steps: 1) Original text image is binarized to get a binary image; 2) Use a horizontal projection profile of the binary image to estimate the width of the bounding box of Chinese character; 3) Combined with character recognizer, use a vertical projection...
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