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.

DeepVA Shot Boundary Detection

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.