What does lust look like? How do people respond to something they find exciting? FaceReader has endless application possibilities. The Dutch television program “Spuiten en Slikken” used FaceReader to measure responses towards explicit erotic images. Spuiten en Slikken is a spicy television show, on a public service channel, that informs their viewers about everything related to sex and drugs. In this current topic, which aired on Tuesday the 24th (warning: explicit content), they interviewed a girl who was asexual. Someone who is asexual lacks sexual attraction to others. Sexologists consider it a sexual orientation, but there is a lot of prejudice towards it. Therefore, the TV show used different ways to figure out what it means to be asexual. One of these was using FaceReader to measure someone’s objective response towards erotic videos.
A few weeks ago, VicarVision crossed the Atlantic and got to show its first validation results for Baby FaceReader at the Pangborn Sensory Science Symposium. Have you ever wondered what your baby is thinking or feeling? Baby FaceReader automatically measures facial expressions in infants (0-2 years old) to determine just that! The widely used FaceReader software can currently only be used for children from the age of three. VicarVision has been developing Baby FaceReader as part of the Brainview Marie Sklodowska-Curie European Training Network. We are proud to share its first promising validation results!
Example of a child where a few activated action units are scored.
Last week the Imperial College of London hosted the 28th edition of the British Machine Vision Conference (BMVC). From all over the world researchers and representatives of industry (Google, Microsoft, Facebook, etc.) met up to present and discuss the newest developments in the fields of Computer Vision and Machine Learning. Since only 188 of the 635 submitted papers were accepted to this event, we were proud to attend and present some of the research done at VicarVision.
We were represented by Nicolai and Amogh, who presented their paper “Object Extent Pooling for Weakly Supervised Single-Shot Localization” at BMVC’17.In products like FaceReader and Vicar Analytics we make use of the modern algorithms that are usually referred to as “Deep Learning”. These algorithms have shown to work extremely well for finding objects (i.e. faces, people) in images or video. The work that we presented at BMVC shares one of our new ideas about how we can make these algorithms much faster and lighter (in terms of computer memory) while not having to trade against accuracy. At the conference this idea was well received and we had the opportunity for a lot of interesting discussion, which will contribute to further development of our algorithms. Aside from inspiring research, BMVC’17 also provided a podium to some interesting developments in the industry. Richard Szeliski for instance, Director of the Computational Photography Group at Facebook, demonstrated what his team is currently working on.
With our web-based platform FaceReader Online you can gather facial expressions of people from all over the world. To make using this service even easier, we have created an instruction video that helps setting up a project. We also show how you can use Qualtrics, one of the leading survey tool providers, to embed the recorder within a questionnaire. In the video, you see the entire process: from setting up a project, incorporating the recorder in a questionnaire, to viewing the results, in less than 9 minutes. With this approach, you can easily set up an online experiment. For example, you could measure responses to commercials, movie trailers, or instruction video’s. Before and after the video you can collect more data by adding questions about the video or the participant. It is an optimal approach for measuring subjective and objective opinions towards a product. Are you a FaceReader Online user and want to start a project or are just interested in how this platform works, have a look at our tutorial video.
It is hard to miss: Dutch elections are on their way. In times of elections, it is crucial for politicians to get enough screen time. Which politician succeeds the most? VicarVision and Media Distillery worked together to answer this question! With the newly developed tool LijstTracker, you can view the amount of minutes that each leader of a Party (in Dutch “lijsttrekker”) has been on television. The automatic facial recognition tools developed by VicarVision can recognise each politician in moving images. Whenever a politician appears on a television program, LijstTracker records the amount of time their face is visible.