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В кластер входят документы, описывающие технологии и применение поиска по изображениям, и не входят документы о смартфонах или голосовых помощниках.
Общие признаки: обратный поиск по картинкам, технологии визуального поиска, OSINT, система Siberia
Группа выше: Поиск Яндекса и его алгоритмы
Смысл: The author expresses excitement over the launch of Yandex's mobile image search, highlighting its ability to resize images for mobile screens and save data traffic as a model for future mobile service development.
The author praises Yandex for launching a mobile image search that automatically resizes images to save data and fit mobile screens.
Смысл: The main idea is that Yandex's reverse image search is currently the most powerful tool for OSINT (Open Source Intelligence) investigations, particularly for facial and location recognition, far surpassing Google and Bing. It emphasizes how AI trained on massive datasets is transforming digital forensics and the subsequent implications for privacy.
Bellingcat's research reveals that Yandex is the most effective tool for reverse image search and facial recognition, significantly outperforming Google and Bing in digital investigations.
Смысл: The main idea is to explain how Yandex transitioned a theoretical academic concept (CBIR) into a massive industrial system called 'Siberia' to enable efficient reverse image search across billions of images.
Yandex introduces 'Siberia,' a scalable image search system utilizing visual words and product quantization to find matching images across a massive database.
Смысл: The text introduces TinEye, a reverse image search engine that finds web pages containing a specific image by analyzing the image's visual 'fingerprint' rather than using text tags.
The text presents TinEye, a service that allows users to search the internet using an image as a query instead of keywords.