We present a tutorial focusing on video retrieval tasks, where stateof- the-art deep learning approaches still benefit from interactive decisions of users. The tutorial covers general introduction to the interactive video retrieval research area, state-of-the-art video retrieval systems, evaluation campaigns and recently observed results. Moreover, a significant part of the tutorial is dedicated to a practical exercise with three selected state-of-the-art systems in the form of an interactive video retrieval competition. Participants of this tutorial will gain a practical experience and also a general insight of the interactive video retrieval topic, which is a good start to focus their research on unsolved challenges in this area.
CITATION STYLE
Lokoč, J., Schoeffmann, K., Bailer, W., Rossetto, L., & Gurrin, C. (2019). Interactive video retrieval in the age of deep learning. In ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval (pp. 2–4). Association for Computing Machinery, Inc. https://doi.org/10.1145/3323873.3326588
Mendeley helps you to discover research relevant for your work.