OpenTV and Jinni Collaborate for 'Mood-Based' Search

OpenTV, a technology provider for advanced digital TV, and Jinni, the developers of a personalized discovery engine for premium content, are bringing mood-based search and recommendation functionality to the TV. The feature is expected to be part of the latest release of OpenTV Core2 middleware, which will be available in fourth quarter 2009.

OpenTV Core2’s integrated search will allow viewers to find content across multiple sources and get programming recommendations based on personal tastes, using Jinni’s technology to analyze video content by moods, plots and personal preferences.

The OpenTV-Jinni mood-based functionality goes beyond basic search by providing choices based on what viewers "feel" like watching. If a viewer wishes to watch a “thrilling, film noir, dark comedy,” they can search for just that, without needing to recall exact movie titles. Viewers can search directly for moods such as “funny,” “dark,” “suspenseful” or “gripping.” Viewers can also add moods to more common search strings such as “era,” “actor” or “genre.”

Features of the solution will be showcased at IBC 2009, September 11-15 in Amsterdam.