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Interactive video retrieval in the age of deep learning

Lokoč, Jakub orcid logoORCID: 0000-0002-3558-4144, Schoeffmann, Klaus orcid logoORCID: 0000-0002-9218-1704, Bailer, Werner orcid logoORCID: 0000-0003-2442-4900, Rossetto, Luca orcid logoORCID: 0000-0002-5389-9465 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2019) Interactive video retrieval in the age of deep learning. In: ICMR '19: Proceedings of the 2019 on International Conference on Multimedia Retrieval, 10-13 June2019, Ottawa, Canada. ISBN 978-3-030-28577-7

Abstract
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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:evaluation campaigns; deep learning; interactive video retrieval
Subjects:Computer Science > Interactive computer systems
Computer Science > Digital video
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: ICMR '19: Proceedings of the 2019 on International Conference on Multimedia Retrieval. . Association for Computing Machinery (ACM). ISBN 978-3-030-28577-7
Publisher:Association for Computing Machinery (ACM)
Official URL:https://doi.org/10.1145/3323873.3326588
Copyright Information:2019 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Czech Science Foundation (GAČR) project Nr. 19-22071Y, Science Foundation Ireland (SFI) under grant Nr. SFI/12/RC/2289.
ID Code:24677
Deposited On:23 Jun 2020 10:58 by Cathal Gurrin . Last Modified 15 Dec 2021 15:52
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