November 29, 2019

164 words 1 min read

The science of visual interactions

The science of visual interactions

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.
Talk Title The science of visual interactions
Speakers Miriam Redi (Bell Labs Cambridge, UK)
Conference Strata Data Conference
Conf Tag Making Data Work
Location London, United Kingdom
Date May 23-25, 2017
URL Talk Page
Slides
Video Talk Video

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.

computer vision video machine learning
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