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.
Full text not available from this repository.
Official URL: https://edoc.unibas.ch/73833/
Downloads: Statistics Overview
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 > Databases and Information Systems (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 |
Related URLs: | |
Identification Number: | |
Last Modified: | 11 Mar 2020 08:52 |
Deposited On: | 11 Mar 2020 08:52 |
Repository Staff Only: item control page