Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Tagging video contents with positive/negative interest based on user's facial expression
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Discrimination of media moments and media intervals: sticker-based watch-and-comment annotation
Multimedia Tools and Applications
| Hi-index | 0.00 |
The demand for information services considering personal preferences is increasing. In this paper, aiming at the development of a system for automatically acquiring personal preferences from TV viewers’ behaviors, we propose a method for automatically estimating TV viewers’ intervals of interest based on temporal patterns in facial changes with Hidden Markov Models. Experimental results have shown that the proposed method was able to correctly estimate intervals of interest with a precision rate of 86.6% and a recall rate of 80.6%.