TV Viewing Interval Estimation for Personal Preference Acquisition

Hiroaki Tanimoto, Naoko Nitta, Noboru Babaguchi
2006 2006 IEEE International Conference on Multimedia and Expo  
The importance of personalized information services has been increasing. Description of personal preferences needs to be prepared beforehand to realize such services. We propose a system for automatically acquiring personal preferences from TV viewer's behaviors. Considering "when" a viewer is watching TV is highly related to the viewer's preferences, we focus on estimating the time interval during which a pre-registered viewer is watching TV. In this paper, we firstly describe the outline of
more » ... be the outline of the personal preference acquisition system, and address a method for estimating the TV viewing intervals based on the appearance of frontal faces. Experiments resulted in a precision rate of 97.1% and a recall rate of 70.6% on average for TV viewing interval estimation.
doi:10.1109/icme.2006.262662 dblp:conf/icmcs/TanimotoNB06 fatcat:5vvqb3rwdjconcaezkrpuglr6a