{'fraction_non_alphanumeric': 0.017713365539452495, 'fraction_numerical': 0.0, 'mean_word_length': 5.038834951456311, '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}}
Live image analysis for computer assisted presentation

We are developing an intelligent presentation system. This type of system can handle live images of documents and drawings. In the system, documents are input using a computer-controlled camera; it can actively decide zoom parameters and glance directions of the camera in order to capture the whole document image in sufficient resolution. Scanned images are mosaiced into a large image. Then, links between document data and electronic data can be constructed by document analysis. In this research, we describe techniques in order to realize this type of system.