@inproceedings{1b2f24cbc0bf4037a7103669fe2d2f5f,
title = "Trapunta attori: AMV creation support system focusing on characters in a video",
abstract = "Anime music videos (AMVs) are fan-made music videos that are created by editing and synthesizing anime footage and music. Anime fans create AMVs and share them on the Internet and with their friends. However, AMV creation takes time and effort. It is also hard to synchronize the scene changes with the musical rhythm. We propose a system to ease these difficulties. Our system splits a video by frames and crops the face images of the characters. The system then associates the face images and the scenes of the characters and classifies the face images to each character. Using this information, our system automatically extracts the scenes as clips for each character. This drastically reduces the time and effort to create an AMV.",
keywords = "AMV, Anime Character, Anime Music Video, Face Recognition, Scene Detection, Video Editing",
author = "Masahiro Narahara and Kohei Matsumura and Roberto Lopez-Gulliver and Haruo Noma",
note = "Publisher Copyright: {\textcopyright} Copyright held by the owner/author(s).; 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 ; Conference date: 08-10-2018 Through 12-10-2018",
year = "2018",
month = oct,
day = "8",
doi = "10.1145/3267305.3267590",
language = "English",
series = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "412--415",
booktitle = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
}