Media and Advertising
HOW IT WORKS
Automotive AI for Driver Monitoring
294 Washington Street
Boston, MA 02108
In Downtown Crossing
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Gated Deep Recurrent Nonnegative Matrix Factorization for Anger Detection in Speech
Recurrent neural networks (RNNs) have been shown to be effective for a...
Fully Convolutional Neural Networks for Anger Detection in Spontaneous Speech
Convolutional Neural Networks (CNNs) have been shown to be effective i...
Predicting Ad Liking and Purchase Intent: Large-scale Analysis of Facial Responses to Ads
Can we predict the impact of a piece of advertising on the viewer̵...
Supervised Learning Approach to Remote Heart Rate Estimation from Facial Videos
Following the success of researchers at the MIT Media Lab estimating t...
Predicting Online Media Effectiveness Based on Smile Responses Gathered Over the Internet
To determine whether a viewer liked a piece of media and would like t...
Measuring Voter’s Candidate Preference Based on Affective Responses to Election Debates
Political debates cover emotive issues that impact people’s lives. T...
Affectiva SDK: A Cross-Platform RealTime Multi-Face Expression Recognition Toolkit
Abstract We present a real-time facial expression recognition toolkit ...
Automatic Measurement Of Ad Preferences From Facial Responses Gathered Over The Internet
Published in Image and Vision Computing in 2014, this paper outlines...
2014 – A Vintage Year for Christmas Advertising?
A case-study published by TNS UK, this white paper takes a look at a...
From Dials to Facial Coding: Automated Detection of Spontaneous Facial Expressions for Media Research
Dials are used in media testing to allow viewers to self-report their ...