The science of visual interactions - Miriam Redi (Bell Labs Cambridge, UK)

830 views · Published 26 May 2017 · 3:19 · Indexed 23 October 2026

Channel: O'Reilly · 2017 · Science & Technology

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Miriam Redi explores the invisible side of visual data, investigating how machine learning can detect subjective properties of images and videos, such as beauty, creativity, sentiment, style, and more curious characteristics. Miriam shows how these detectors can be applied in the context of web media search, advertising, and social media and analyzes the precious contribution of computer vision in understanding how people and cultures perceive visual properties, underlining the importance of feature interpretability for this task.

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