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In this paper, we propose an approach named psc2code to denoise the process of extracting source code from programming screencasts. First, psc2code leverages the Convolutional Neural Network based image classification to remove non-code and noisy-code frames. Then, psc2code performs edge detection and clustering-based image segmentation to detect s...
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... the two annotators. The Kappa value is 0.98, which indicates almost perfect agreement between the two annotators. There are a small number of frames that the two annotators disagree with each other. For example, one annotator sometimes does not consider the frames with a tiny popup window such as the parameter hint when using functions (see Fig. 5) as noisy-code frames. For such frames, the two annotators discuss to determine the final label. Table 1 presents the results of the labeled frames. There are 1,864 invalid frames and 3,324 valid code frames, ...
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