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Interactive Video Retrieval in the Age of Deep Learning

Lokoč, Jakub; Schoeffmann, Klaus; Bailer, Werner; Rossetto, Luca; Gurrin, Cathal (2019). Interactive Video Retrieval in the Age of Deep Learning. In: ACM International Conference on Multimedia Retrieval, Ottawa, ON, Canada, 10 July 2019 - 13 July 2019. ACM Press, 2-4.

Abstract

We present a tutorial focusing on video retrieval tasks, where state-of-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.

Additional indexing

Item Type:Conference or Workshop Item (Lecture), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Computer Graphics and Computer-Aided Design
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Software
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:13 July 2019
Deposited On:06 Dec 2019 14:33
Last Modified:06 Mar 2024 14:29
Publisher:ACM Press
ISBN:9781450367653
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1145/3323873.3326588
Related URLs:https://dl.acm.org/doi/10.1145/3323873.3326588
Other Identification Number:merlin-id:18155
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