{'fraction_non_alphanumeric': 0.010819165378670788, 'fraction_numerical': 0.0, 'mean_word_length': 5.171428571428572, '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}}
Mining Cinematic Knowledge Work in Progress [An Extended Abstract]

This paper presents the blueprint of an on going effort underway at George Mason University to create a movie mining system that uses already existing content detection technology. The emphasis of this project is to examine the suitability of existing concepts in data mining to multimedia, where the semantic content is time sensitive and constructed by fusing data obtained from component streams. Methods used for this purpose have a non zero probability of being incorrect. We discussed the issues involved in mining knowledge from or about movies and propose some solutions.