View
❯
Live Video
❯Entertainment and Media - Metadata Tagging
Large Companies
Computer Vision - Gesture Recognition
General Public
Education - Accessibility
Chromosome segmentation and deep classification
Government
Defense & Military - Intelligence & Surveillance
Dialogue-based social care services for people with mental illness, dementia and the elderly living alone
Instant triaging of wounds
Large Companies
Small Companies
Entertainment and Media - Metadata Tagging
Intelligent Video Traffic Monitoring
Education - Automated Content Generators
Large Companies
Small Companies
Entertainment and Media - Subtitle Creation
Autonomous apron truck
Robotic prehension of objects
AI decryption of magnetograms
Government
Defense & Military - Autonomous Vehicle
Improvement of productivity of semiconductor manufacturing
Automated defect classification on product surfaces
Pre-screening of cavity and oral diseases based on 2D digital images
Intelligent technology to control manual operations via video Norma
Automatic classification tool for full size core
Real-time patient support and medical information service applying spoken dialogue system
AI situation explanation service for people with visual impairments
General Public
Education - Smart Learning Content
Autonomous trains (Unattended train operation (UTO))
AI sign language interpretation system for people with hearing impairment
Precision Farming as a Service
General Public
Computer Vision - Object & Activity recognition
Facilitating language learning of deaf people
Computer-aided diagnosis in medical imaging based on machine learning
Social humanoid technology capable of multi-modal context recognition and expression
Autonomous Robot Improves Surgical Precision Using AI
Large Companies
Small Companies
Entertainment and Media - Metadata Tagging
For:
Digital asset managers.Goal:
Improved Product Development / R&D, Improve Operation EfficiencyProblem addressed
Organizations often have large collections of digital media assets that need to have metadata associated with them in order to fully realize their value. Associating metadata with asset records makes it indexable and thus easier to categorize, search and maintain.
Manual curation of these assets is a labor intensive task. The collections are often large and can contain information in different formats (text, audio, visual etc.). In addition, tagging standards need to be maintained in order to ensure inconsistencies in the data are not introduced that make later retrieval of information difficult.
Scope of use case
Realizing the value of historical sporting digital media assets by using Artificial Intelligence (AI) to assist in doing the work of 15 interns.
Description
AI techniques from the fields of Computer Vision, Optical Character Recognition, Speech and Natural Language Processing can be used to extract information from unstructured data in raw digital media assets. Documents can be classified into topics and named entities such as locations, events and people can be recognised.
The San Francisco Giants turned to Veritone’s AI-enabled digital asset management platform to help preserve 60 years of media assets nearing the end of their life. After digitizing the content, the Giants were faced with hiring 15 interns for a full year to associate metadata with the content.
Instead of going through the process of applying human labor to the process, the Giants used Veritone’s keyword extraction, object detection and logo detection amongst other capabilities to automatically add metadata tags instantly enabling search and discovery of the content and ultimately opportunities for monetisation.
Image
Live Video
AI: Perceive
Computer Vision
AI: Understand
Automate Process
Retrieve Information
AI: Act