{'fraction_non_alphanumeric': 0.019255455712451863, 'fraction_numerical': 0.0, 'mean_word_length': 5.290322580645161, '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}}
Video inpainting using scene model and object tracking

The problem of automatic video restoration and object removal attract the attention of many researchers. In this paper we present a new framework for video inpainting. We consider the case when a camera motion is approximately parallel to the plane of image projection. The scene may consist of a stationary background with a moving foreground, both of which may require inpainting. Moving objects can move differently, but should not to change their size. A framework presented in this paper contains the following steps: moving objects identification, moving objects tracking and background/foreground segmentation, inpainting and, finally, a video rendering. Some results on test video sequence processing are presented.