Cloudinary Blog

Facial Emotion Recognition Based Video Suggestion App

Build a Facial Emotion Recognition Based Video Suggestion App

Developers are always looking for new and creative ways to deliver content that resonates with the way users feel. Often using the latest technical innovations the market has to offer such as Artificial Intelligence (AI) and Machine Learning (ML). What better way to demonstrate innovative uses of these technology in a consumer market than capturing expressions from your users and then serving content based on that expression!

Facial Emotion Recognition

In this article we are going to build an app that suggests videos to users based on their facial expressions (i.e. emotion). To do this, we will use Cloudinary’s Advanced Facial Attributes Detection Add-on and the Cloudinary Video Player.


Sign up for Cloudinary free today!


Set Up Cloudinary

Cloudinary makes adding image and video optimizations to applications a breeze. Head over to the Solutions Page to learn more about the features offered.

First, sign up for Cloudinary. Once you have created an account, you are able to use the “Advanced Facial Attributes Detection” add-on.

You can add the “Advanced Facial Attributes Detection” to your Cloudinary account here and follow the on-screen instructions.

Advanced Facial Attributes Detection Add-on

Make sure to note your API_KEY , API_SECRET and CLOUD_NAME from your developer console. This information is needed when integrating with your application.

Upload Images and Retrieve Facial Emotion Recognition from Images

Using Cloudinary to obtain the emotion from a facial image requires the Advanced Facial Attributes Detection Add-on when uploading the image. We add the adv_face as a tag to let Cloudinary know we are going to use the Advanced Facial Attributes Detection add-on to register the emotions from the detected users face.

When the image is successfully uploaded, emotions detected from the face and their confidence values are returned as part of the result. The emotion with the highest confidence is then selected.

JavaScript Sample:

Copy to clipboard
cloudinary.uploader.upload( req.body.image , function(result) {
  const emotions = result.info.detection.adv_face.data[0].attributes.emotion;
  let arr = JSON.parse(JSON.stringify(emotions));
  let visible_emotion = getMaxKey(arr); // this function gets the emotion with the highest confidence
  return res.json({
    status: true,
    emotion: visible_emotion
  })
},{ detection: "adv_face" });

You can then return the detected emotion to the frontend of your application.

Creating Video Playlists Based on emotion

Once the emotion is obtained on the front end, we want to display a set of videos to the user that correspond to the selected emotion. The Cloudinary Video Player makes creating playlists simple. You can create a video player and then populate it with videos from your media library that are tagged with the highest confidence emotion, such as ‘happiness’.

JavaScript Sample:

Copy to clipboard
let emotion = "happiness";
let cld = cloudinary.Cloudinary.new({ cloud_name: CLOUD_NAME, secure: true});b
// initialize video player
let demoplayer = cld.videoPlayer('elementID');
//  create playlist based on emotion
demoplayer.playlistByTag( emotion, { sourceParams: {angle:0}, autoAdvance: 0, repeat: true, presentUpcoming: 5});

Putting it all together, we have the sample of how it all works below:

Video Suggestion at Work

Conclusion

In this post, we have shown how to use the facial emotion recognition add-on from Cloudinary to create an application that enables us to serve videos to our users based on how they are feeling at the moment. We also leveraged the Cloudinary Video Player to serve the videos in a playlist format. You can learn more about using the video player and feel free to check out the github repository for the full source code. If you are up for the challenge, clone and submit your own Video Suggestion App below!


Further Reading on Video Manipulation

Recent Blog Posts

Automatically Translating Videos for an International Audience

No matter your business focus—public service, B2B integration, recruitment—multimedia, in particular video, is remarkably effective in communicating with the audience. Before, making video accessible to diverse viewers involved tasks galore, such as eliciting the service of production studios to manually dub, transcribe, and add subtitles. Those operations were costly and slow, especially for globally destined content.

Read more
Cloudinary Helps Minted Manage Its Image-Generation Pipeline at Scale

David first shared his thoughts at our ImageCon coverence last October and this case study is an abbreviated version of Minted’s success using Cloudinary.

Over time, Faithful renderings of the creations of the illustrators, textile designers, painters, packaging designers, marketers, and stay-at-home moms, all of whom are core contributors of the Minted world, was getting harder and harder. Legacy technology wasn’t cutting it any more—and it was time for Cloudinary to step in.

Read more
Highlights on ImageCon 2021 and a Preview of ImageCon 2022

New year, same trend! Visual media will continue to play a monumental role in driving online conversions. To keep up with visual-experience trends and best practices, Cloudinary holds an annual conference called ImageCon, a one-of-a-kind event that helps attendees create the most engaging visual experiences possible.

Read more

New for DAM: Media Library Extension for Chrome

By Sharon Yelenik
A New Media Library Chrome Extension for Cloudinary DAM

With the introduction of the Media Library Extension, a Chrome-browser add-on that streamlines the access to, search for, and management of images and videos, Cloudinary offers yet another effective tool for its Digital Asset Management (DAM) solution. Let’s have a look at how most teams are currently working with media assets and how the new add-on not only boosts efficiency, but also renders the process a pleasure to work with.

Read more
New Features Supercharge Cloudinary’s Digital Asset Management Solution.

Today, I’m thrilled to announce the launch of Apps for Digital Asset Management and a Media Library Extension for the Chrome browser, which enables easy, flexible integration with all web-based applications in addition to making asset discovery more robust and accessible to all.

Read more
Scale and Automate Workflows With Modern Digital Asset Management Systems

With building, growing, and maintaining a strong digital presence being a top priority for all brands, high-quality visual content is paramount. In fact, consumers are 40 times more likely to share visual content on social networks than on other forums. Plus, a recent study from Wyzowl found that 84% of consumers made purchase decisions after watching a video, which explains why many brands are adding more and more visual media to their sites.

Read more