Dr. Bharath Kumar Mohan

Visual metadata is a necessity to get videos discovered. The high cost of metadata makes it hard for the torso and tail to have good metadata - leading to a spiralling effect of the poor becoming poorer in the video domain. Our technology creates processes that make it extremely affordable to generate presentable metadata for an entire video library - almost automatically. A bottom-up video reasoning system automatically generates several structural artefacts, including poster art, trailers, cast information, promotions, brands, title credits, moods, and predict genre. All this is fed into a graph database with a global knowledge of TV, and from there on, curated by metadata professionals. We present an AI-assisted, metrics-driven process for creating and maintaining complete metadata and share experiences in taking this to industrial production.