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- W2778796353 abstract "A temporal superpixel algorithm based on proximity-weighted patch matching (TS-PPM) is proposed in this work. We develop the proximity-weighted patch matching (PPM), which estimates the motion vector of a superpixel robustly, by considering the patch matching distances of neighboring superpixels as well as the target superpixel. In each frame, we initialize superpixels by transferring the superpixel labels of the previous frame using PPM motion vectors. Then, we update the superpixel labels of boundary pixels, based on a cost function, composed of color, spatial, contour, and temporal consistency terms. Finally, we execute superpixel splitting, merging, and relabeling to regularize superpixel sizes and reduce incorrect labels. Experiments show that the proposed algorithm outperforms the state-of-the-art conventional algorithms significantly." @default.
- W2778796353 created "2018-01-05" @default.
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- W2778796353 date "2017-10-01" @default.
- W2778796353 modified "2023-09-23" @default.
- W2778796353 title "Temporal Superpixels Based on Proximity-Weighted Patch Matching" @default.
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- W2778796353 doi "https://doi.org/10.1109/iccv.2017.390" @default.
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