All posts in Blog Posts

Building a Timeline of your Video: Automatically Identify Objects, Sequence Times, and Integrate with Timeline.js

When we implemented InceptionNet, a microservice to detect and label objects (features) in photos, we knew it would be helpful. Then, we built out VideoMetadataExtraction, a video pipeline which allows you to run feature-detection algorithms (and others) on an entire video. This allowed for some really powerful activities — like automatically scanning through home security footage to find all the cars of a specific make & model, or stripping out all the nudity-containing scenes of a movie to make a G-rated version.

Today, we’ll go further by showing you how to visualize all the features in your video, thanks to the VideoTagSequencer and Timeline.js, a beautiful JavaScript library for displaying timelines on the web.

If you want to skip directly to the demo, please do. but come on back for a full breakdown of the integration pipeline and code samples! Read More…

Introduction to Video Tag Sequencing

Video Metadata Extraction

Sifting through unlabelled videos can be difficult and time-consuming. Even for the most seasoned analyst, fatigue leads to mistakes. Whether you’re trying to detect anomalies in mission-critical infrastructure — or you just want to find all of the segments in your vacation videos that contain ducks — we have a microservice that can help reduce the workload.

What is the Video Tag Sequencer? How does it work?

The VideoTagSequencer is an algorithm takes the time series point data generated from VideoMetadataExtraction and converts it into an index of detected labels and sequences contained in the video. In a nutshell, it takes frame-by-frame results, and converts them into a list of time ranges at which each result occurs. Read More…

One-page Web Tool: Transfer Style from One Image to Another in JavaScript alone

You may have already seen how to do style transfer via the StyleThief microservice in Python, but let’s take a different approach: what if I wanted to create a one-page website out of the service, without having to create any backend? That’s right: using only JavaScript and HTML, we’ll make it possible for website visitors to make their own images look like a Van Gogh, a Picasso, or any other piece of art they can find a digital photo of. Read More…

Train a Face Recognition Model to Recognize Celebrities

Sam Trammell and Rustina Wesley

Sam Trammell and Rustina Wesley from True Blood

Earlier this week we introduced Face Recognition, a trainable model that is hosted on Algorithmia. This model enables you to train images of people that you want the model to recognize and then you can pass in unseen images to the model to get a prediction score.

The great thing about this algorithm is that you don’t have to have a huge dataset to get a high accuracy on the prediction scores of unseen images. The Face Recognition algorithm trains your data quickly using at least ten images of each person that you wish to train on. Read More…

Quickly Building a Face Recognizer

Have you ever wondered how companies like Facebook automatically tag millions of user images?

Or did you find yourself in a situation where you want to automate tagging people in images… perhaps with tens of thousands of images?

Or maybe you just want to build a simple TV show celebrity classifier for your fan site?

Well now there’s a quick and efficient way of doing this today. And it scales seamlessly! Read More…