Winner of Mozilla's $50,000 award for art and advocacy exploring AI
Switch branches/tags
Nothing to show
Clone or download
Latest commit a8ef2bc Nov 11, 2018
Permalink
Failed to load latest commit information.
media Wireframes Jul 11, 2018
tech-demo Make framecode decode use arraybuffers instead of hacky integer bit p… Nov 11, 2018
readme.md Readme Nov 11, 2018
tech-demo-07112018.gif Readme Jul 11, 2018

readme.md

stealing ur feelings

STEALING UR FEELINGS

Stealing Ur Feelings is a web-based interactive documentary that reveals how Snapchat can use your face to secretly collect data about your emotions.

Using a combination of filmed content, augmented reality and game mechanics, we'll explore the wild science of machine learning-based facial feature tracking, demystify the algorithms that determine if you're happy or sad, and show you how corporations can correlate your emotions with the content you consume to do some Not Very Nice Things.

We're gonna have a slapping soundtrack, too.

Stealing Ur Feelings began life as an application for Mozilla's 2018 awards for art and advocacy exploring artificial intelligence. This repository is a living open workspace. Check back often for updates!

👀 check these out first

⚡️ changelog

10/24/2018 We won

07/12/2018 Submitted full application to Mozilla

07/08/2018 The interactive tech demo is live!

07/06/2018 Registered domain name: stealingurfeelin.gs

06/29/2018 Original funding concept accepted by Mozilla - we've been invited to submit a full application!

💪 challenges + approach

A project like Stealing Ur Feelings presents a unique set of creative and engineering challenges. This section describes our solutions and techniques.

Facial landmark detection and emotion recognition

To create our Snapchat-style AR filter and perform emotion recognition in the browser, we'll need to implement Constrained Local Models, a recent breakthrough in the field of machine learning-based computer vision. Though we may ultimately write our own implementation (as we've done previously with the Viola-Jones framework), there are some open source libraries that seem very promising. Two of the most popular such libraries are clmtrackr and Dlib. We used clmtrackr for our interactive tech demo and the results were excellent.

Frame-accurate video sync

The web video API has no method to accurately return the current frame position of a video element, which makes it difficult to create synchronized keyframe events. Mathematical solutions exist, but they desynchronize due to floating point rounding errors. Instead, we'll use the optical framecode system developed for our previous interactive film, Weird Box. For this method, we actually embed tiny barcode-like images in our video which contain the binary representation of each frame number.

Production value

We like shooting CinemaDNG Raw with Blackmagic cameras and vintage Nikon lenses. We record our location audio with the industry standard Sennheiser MKH-416.

🚧 engineering hit list

run a Dlib wasm experiment

reduce framecode bit depth to 16 bits

make framecode system use typedarrays instead of hacky integer bit parsing

try functional keyframe events system?

make everything go full screen and responsive

mobile benchmarking and optimization

📝 todo

submit initial funding concept

create wireframe mockups

make a tech demo

submit full grant application

write/finalize film script

domain name exploration + registration

film shoot

film edit

film optical framecode pipeline

frontend design

frontend development

produce AR filter gfx assets

user testing, feedback + iteration

produce final film titles + gfx assets

film VO record/final audio mix

film final color grade

film final conform

user acceptance testing

release strategy/marketing/festival + awards submissions