Video Tagging with AI

Description

The client has over 8000 videos that need to be searchable based on various facets. Searches can be conducted for:

• Content of the dialogues
• People appearing in the videos
• Objects
• Situations and types of landscapes
• Brands

The current tool is expensive and incapable of utilizing AI for intelligent video tagging.

Value provided by Taniwa

We analyze videos daily from marketing users and examine the state of the art. We search for the appropriate tool, in this case, Azure VideoIndexer, and set up a proof of concept for users with:

• People detection
• Intelligent tagging

We verify prices and integrate the tool with the IE’s technological environment.

The main challenge of the project is planning the project steps. We do not want to reprocess the videos, so we have to get it right the first time.

Technologies

• Azure VideoIndexer
• Azure Cognitive Services
• Python ETL