@inproceedings{aa4b1d01918641e0b463d1a29c1b6009,
title = "Video viewer state estimation using gaze tracking and video content analysis",
abstract = "In this paper, we propose a novel viewer state model based on gaze tracking and video content analysis. There are two primary contributions in this paper. We first improve gaze state classification significantly by combining video content analysis. Then, based on the estimated gaze state, we propose a novel viewer state model indicating both viewer's interest and existence of viewer's ROIs. Experiments were conducted to verify the performance of the proposed gaze state classifier and viewer state model. The experimental results show that the use of video content analysis in gaze state classification considerably improves the classification results and consequently, the viewer state model correctly estimates the interest state of video viewers.",
keywords = "gaze state classification, gaze tracking, region of interest, video viewing, viewer state",
author = "Kim, \{Jae Woo\} and Kim, \{Jong Ok\}",
year = "2013",
doi = "10.1109/VCIP.2013.6706365",
language = "English",
isbn = "9781479902903",
series = "IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing",
booktitle = "IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing",
note = "2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013 ; Conference date: 17-11-2013 Through 20-11-2013",
}