{'fraction_non_alphanumeric': 0.030660377358490566, 'fraction_numerical': 0.0, 'mean_word_length': 5.746031746031746, '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}}
Content-based visual information retrieval

This chapter provides a survey of the state-of-the-art in the field of Visual Information Retrieval (VIR) systems, particularly Content-Based Visual Information Retrieval (CBVIR) systems. It presents the main concepts and system design issues, reviews many research prototypes and commercial solutions currently available and points out promising research directions in this area.