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Image super-resolution has gained much attention in these years, while video super-resolution remains almost unchanged. In this paper, we propose a fast super-resolution method for video. We exploit recent development of learning-based technique that achieves state-of-the-art in accuracy and efficiency for image super-resolution. We leverage the temporal coherency of video contents to approximate...
Which parts of an image evoke emotions in an observer? To answer this question, we introduce a novel problem in computer vision — predicting an Emotion Stimuli Map (ESM), which describes pixel-wise contribution to evoked emotions. Building a new image database, EmotionROI, as a benchmark for predicting the ESM, we find that the regions selected by saliency and objectness detection do not correctly...
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