(Wydawnictwo Naukowe "iScience", 2019) Рыбалка, А. И.; Коваленко, С. Н.; Михнова, Е. Д.
This article deals with image and video search and mining to extract valuable textual information. The problem emerged from an issue of determining correct translation for specific terms which are commonly used in field-specific domains. Aside from wrong machine translations, it is hard to make a correct decision for human translators as well, with high probability of errors left all in all. We are trying to eliminate this gap between any two language pairs by addressing an issue of proper image search and comparison using artificial intelligence methods, thus matching textual terms with their multimedia equivalents.