Efficient Search and Browsing of Large-Scale Video Collections with Vibro
28th International Conference on Multimedia Modeling (MMM 2022)
TL;DR
We present the latest version of our interactive video browser tool, Vibro, featuring an enhanced user interface for easier temporal search, an upgraded shot-detection algorithm, and improved query efficiency through graph-based approximate nearest neighbor search.
Abstract
In this paper, we present the newest version of our interactive video browser tool Vibro. For this iteration, we focused on improving the user interface to enable a more accessible temporal search, upgrading the shot-detection algorithm, replacing a keyword-based search with rich text input, and reducing query times by applying a graph-based approximate nearest neighbor search method. With these extensive updates, we feel well-equipped to handle the huge amounts of data coming our way in the next VBS competitions and achieve competitive results in the contest.
BibTeX
If you use our work in your research, please cite our publication:
@InProceedings{10.1007/978-3-030-98355-0_43,
author="Hezel, Nico
and Schall, Konstantin
and Jung, Klaus
and Barthel, Kai Uwe",
editor="Þ{\'o}r J{\'o}nsson, Bj{\"o}rn
and Gurrin, Cathal
and Tran, Minh-Triet
and Dang-Nguyen, Duc-Tien
and Hu, Anita Min-Chun
and Huynh Thi Thanh, Binh
and Huet, Benoit",
title="Efficient Search and Browsing of Large-Scale Video Collections with Vibro",
booktitle="MultiMedia Modeling",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="487--492",
isbn="978-3-030-98355-0"
}