VIDEO RECOMMENDER IN OPEN/CLOSED SYSTEMS

Ajay Reddy P K, Chidambaram M, D V Anurag, Karthik S, Ravi Teja K, Sri Harish. N, T. Senthil Kumar

Abstract: The number of people travelling to different countries through airways is increasing day by day. It is the most convenient and fastest way of travelling. Airlines are providing a variety of services to retain customers. Entertainment on board in a flight has become a popular and necessary trend. Airlines often provide a set of movies or videos to the passengers during their travel. But this set of movies may not suit the passenger’s mood and needs. Recommended systems helps in suggesting appropriate videos to a particular passenger based on various factors. This will dramatically increase the quality of the service which in turn will increase the popularity of the airline and eventually its revenue. This project comprises of three stages. Firstly, a video of the passenger is captured. Secondly, the captured video is processed for emotion prediction. Subsequently, the emotion along with the passenger details from the airlines is passed onto a system that recommends videos.

Keywords: Cloud Computing, Emotion Analysis, Emotion Recognition, Facial Action Coding System, Facial Expression analysis, K-Nearest Neighbor Algorithm, Recommender Systems, Video Processing, Video Recommendation

DOI: https://doi.org/10.15623/ijret.2014.0319005