Deepva Shot Boundary Detection
Shot Boundary Detection
function description
Shot boundary detection in videos
Do you want to find the perfect scene for your particular use case? With the Shot Boundary Detection module, you can precisely segment your video to skip intros and recaps, and detect title sequences, voice-overs, or break bumpers. Shot Boundary Detection captures individuals and determines how they are framed in each frame.
This means that important post-production information can be stored directly in the metadata, and you can quickly find the shot with the appropriate framing in your database. In addition, the video material is segmented, with the content being divided into sections such as the intro, the end credits and the closing credits.
benefits
Transforming data into value
Recognition of sequences
Capturing and framing characters
Shot list complexity recognition
use cases
Logo Recognition use cases
how it works
How does Logo Recognition work?
Logo Recognition analyses logos for various characteristics and compares them with the database behind them. This database can be either pre-trained personalities or your own training material. n addition to face and landmark recognition, logo recognition will also be adapted to the specific needs of companies in the future.
