{'fraction_non_alphanumeric': 0.01821668264621285, 'fraction_numerical': 0.0, 'mean_word_length': 5.6923076923076925, '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}}
The Moving Picture Retrieval System Using Visual Descriptors and Cut Detection

Multimedia that is characterized by multi-media, multi-features, multi-representations, huge volume, and varieties is rapidly spreading due to the increasing number of application domains, the establishment of the information super-highway, and the development of Internet technologies. Thus, the development of a multimedia information system is urgently needed to rapidly and accurately retrieve the required information from the huge amount of multimedia data available. While conventional retrieval systems have focused on text, current multimedia systems have developed along the lines of content-based video retrieval due to the wide use of digital video data available. The goal of this paper is to achieve an efficient and effective multimedia retrieval system that meets the current needs mentioned above. Through this experiment, an improved video segmentation system is implemented that performs more quickly and precisely than the existing techniques.