@inproceedings{4d43baa1960a446ba02afdcc4b02d158,
title = "A Fast Video Shot Boundary Detection Employing OTSU's Method and Dual Pauta Criterion",
abstract = "Video shot boundary detection is a fundamental step towards video information processing in e-learning scenarios. In the field of shot boundary detection, there still exists difficulty in choosing suitable thresholds for different videos, and empirical thresholds usually lead to low precision. Thus, we propose an original method to generate video-based threshold which is calculated by video itself. In the process of generating video-based threshold, we employ the OTSU's method [11] to eliminate non-boundary segments, and dual Pauta criterion to identify the cut shots and gradual shots. The experiments show that video-based threshold has better performance than empirical threshold.",
keywords = "HSV, OTSU's method, Pauta criterion, cut shot, eLearning, gradual shot, segment",
author = "Zhe Yang and Lihua Tian and Chen Li",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 19th IEEE International Symposium on Multimedia, ISM 2017 ; Conference date: 11-12-2017 Through 13-12-2017",
year = "2017",
month = dec,
day = "28",
doi = "10.1109/ISM.2017.114",
language = "英语",
series = "Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "583--586",
booktitle = "Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017",
}