Abstract
The present disclosure describes a method for classifying augmented reality (AR) effects using tags derived from content of the AR effects. A tag generator (for example, an image classifier, a natural language classifier) derives the tags from images or thumbnails with the AR effects that are given as an input to the tag generator. The tag generator includes an AR comparison unit, a confidence score generation unit and a dictionary database, which are utilized to generate the tags for the AR effects. Each of the tags includes a text string, a confidence score and metadata about how the tag was created.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, Anonymous, "Classifying Augmented Reality (AR) Effects", Technical Disclosure Commons, (February 11, 2020)
https://www.tdcommons.org/dpubs_series/2947