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We propose a method to abstract cooking videos. We define cooking video abstraction as making videossufficient to understand general cooking procedures visually and intuitively. To make an abstracted video, importantsubshot segments need to be extracted from the original video. Important segments in a cooking video are cookingmotions and appearances of foods, since visual information that represents essential cooking operation is exceptionally important. These segments have typical motion-related features. Therefore, the proposed method refers tomotion in the image detected as an optical flow. An experiment to detect important segments from motion-basedstructural analysis showed high detection rate and promising results. We assembled the important segments, andthe resultant abstracted video showed the effectiveness of the proposed method
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