@inproceedings{16a765a2c7554526a31e786660c8ee0d,
title = "Inter-Observer Visual Congruency in Video-Viewing",
abstract = "There are individual differences in human visual attention between observers when viewing the same scene. Inter-observer visual congruency (IOVC) describes the dispersion between different people's visual attention areas when they observe the same stimulus. Research on the IOVC of video is interesting but lacking. In this paper, we first introduce the measurement to calculate the IOVC of video. and an eye-tracking experiment is conducted in a realistic movie-watching environment to establish a movie scene dataset. Then we propose a method to predict the IOVC of video, which employs a dual-channel network to extract and integrate content and optical flow features. The effectiveness of the proposed prediction model is validated on our dataset. and the correlation between inter-observer congruency and video emotion is analyzed.",
keywords = "Inter-observer visual congruency, Movie analysis, Neural network, Visual attention",
author = "Jiaomin Yue and Qiang Lu and Dandan Zhu and Xiongkuo Min and Zhang, \{Xiao Ping\} and Guangtao Zhai",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Visual Communications and Image Processing, VCIP 2021 ; Conference date: 05-12-2021 Through 08-12-2021",
year = "2021",
doi = "10.1109/VCIP53242.2021.9675428",
language = "英语",
series = "2021 International Conference on Visual Communications and Image Processing, VCIP 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 International Conference on Visual Communications and Image Processing, VCIP 2021 - Proceedings",
address = "美国",
}