{'fraction_non_alphanumeric': 0.027210884353741496, 'fraction_numerical': 0.001943634596695821, 'mean_word_length': 5.242424242424242, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Highlighting action content in animated movies

In this paper we tackle the issue of highlighting action content in animated movies, which proves to be a valuable information for retrieving movies in content-based video indexing systems. We use the hypothesis that action is in general related to a high frequency of video transitions, and adapt it to the constraints of the animation domain. First, we perform a video temporal segmentation by detecting cuts, fades, dissolves and specific color effects. Second, we analyze the movie rhythm, in terms of shot changes over a time unit. We target several action categories, namely: hot action, regular action and low action. This constitutes the action groundtruth. Finally, we employ a four step algorithm (thresholding, merging, pruning, restoring complementarity) to highlight movie parts according to the previously determined groundtruth. The efficiency of our approach was tested on several pre-labeled animated movies, achieving precision and recall ratios of more than 70%.