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SkillsCast

The Science of Visual Interactions

29th April 2017 in London at CodeNode

There are 19 other SkillsCasts available from Data Science Festival 2017

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In this talk you will explore 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.

See how these detectors can be applied in the context of web media search, advertising and social media, and analyse 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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The Science of Visual Interactions

Miriam Redi

Miriam Redi is a Research Scientist in the Social Dynamics team at Bell Labs Cambridge. Her research focuses on content-based social multimedia understanding and culture analytics. In particular, she 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.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

In this talk you will explore 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.

See how these detectors can be applied in the context of web media search, advertising and social media, and analyse the precious contribution of computer vision in understanding how people and cultures perceive visual properties, underlining the importance of feature interpretability for this task.

YOU MAY ALSO LIKE:

About the Speaker

The Science of Visual Interactions

Miriam Redi

Miriam Redi is a Research Scientist in the Social Dynamics team at Bell Labs Cambridge. Her research focuses on content-based social multimedia understanding and culture analytics. In particular, she 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.

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