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Interactive video retrieval in the age of deep learning

Lokoč, Jakub and Schöffmann, Klaus and Bailer, Werner and Rossetto, Luca and Gurrin, Cathal. (2019) Interactive video retrieval in the age of deep learning. In: Proceedings of the 2019 on International Conference on Multimedia Retrieval. pp. 2-4.

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Official URL: https://edoc.unibas.ch/73833/

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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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Rossetto, Luca
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:ACM
e-ISBN:978-1-4503-6765-3
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:11 Mar 2020 08:52
Deposited On:11 Mar 2020 08:52

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