Our great sponsors
-
automatic-video-processing
Discontinued Turn any live video stream or locally stored video into a dataset of interesting samples for ML training, or any other type of analysis.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Right now, the way we're thinking about it is to turn videos into something that works with the structure of a database like MongoDB. Everything in an image or a video is an object (even the frame itself is an object with a large bounding box), and each of these objects has some attributes and can be tracked over time with some form of object tracking. Given that the objects are tracked, they can each basically be returned as a time-series of each of the attributes associated with that object.
I'm one of the creators of Sieve, and I'm looking for general thoughts on this problem.