A proposed new model for personnalistion preference

Nowadays, viewers find it really hard to watch what they prefer easily because of the increasingly huge number of television channels. Given this problem, we will try to work on the concept of intelligent television and we propose to add an intelligent layer, that can be configured according to user preferences in order to make them suitable for many video analysis at the same time, and filter for each user the appropriate scenes. Our idea is to come up with a model based on user preferences, extracting the characteristics of the user while using the analytical functions and decision rules.