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.
Miriam Redi is a research scientist on the Social Dynamics team at Bell Labs Cambridge, where her research focuses on content-based social multimedia understanding and culture analytics. In particular, Miriam explores ways to automatically assess visual aesthetics, sentiment, and creativity and exploit the power of computer vision in the context of web, social media, and online communities. Previously, she was a postdoc in the Social Media group at Yahoo Labs Barcelona and a research scientist at Yahoo London. Miriam holds a PhD from the Multimedia group in EURECOM, Sophia Antipolis.
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