About VAN ROTHE
VAN ROTHE is a young, emerging technology company and develops sustainable software products for the professional film & entertainment industry. VAN ROTHE’s products enable significantly more efficient and cost-effective processes from film planning to post-production.
DeepVA product used
AI helps find people in videos
All faces found by DeepVA’s Face Training and Face Evaluation are automatically fingerprinted and stored in the DeepVA data model and used in all subsequent analyses of any video content, along with any manually uploaded/trained faces. Unknown faces will be labeled “unknown_xxx” until given a name. When given a name, this name will automatically be indexed and can be used in the search function. Clicking a search hit will open the video asset and position the playhead to its first appearance of the face in the video. All faces found by DeepVA will be categorized in the collection named “FoundByFaceAnalysis”. You can use the collection sorting function to catalogue known faces and move them out from the “FoundByFaceAnalysis” collection.
Wranglebot is a free, open source, distributed media asset management platform, that lets you offload and transcode media, and automate metadata tagging, so your team can work closely together from anywhere in the world. Wranglebot.io can do the yearly work of a full-time employee in just 6 minutes. Read more about the product here.
Benefits for the user
Deep media analyzer functions
DeepVA features integrated into Wranglebot.io
Face Recognition detects and identifies the faces of public figures in a variety of categories such as politics, sports, business, and entertainment.
Face Attributes recognizes emotions and facial characteristics such as "beard", "eyes closed" or "glasses" of all persons appearing in pictures or videos.
Landmark Recognition identifies all important sights, architectural structures and natural monuments across Europe and North America.
Visual concepts recognition
Object and scene recognition detects and labels various objects and scenes, from general to more specific ones.
Often the spoken word alone is not enough: transcription is needed. Our Speech to Text function automates this process.