{'fraction_non_alphanumeric': 0.016643550624133148, 'fraction_numerical': 0.0, 'mean_word_length': 5.333333333333333, '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}}
A multi-resolution video segmentation scheme for wipe transition identification

This paper presents a new methodology for wipe transition identification. Shot transition detection is an important technique for making videos easier to handle. Due to the wide variety, wipe transition appears to be the most difficult one to be detected among all types of shot transitions. We propose an approach that takes advantage of the production aspect of video. Each video frame is first decomposed into low-resolution and high-resolution components which are analyzed respectively and further recombined together to form a wipe transition detector. In our system, wavelet transformation is used for multi-resolution decomposition.