Interactive video search:
where is the user in the age of deep learning?
Schoeffmann, Klaus, Bailer, Werner, Gurrin, CathalORCID: 0000-0003-2903-3968, Awad, George M. and Lokoč, Jakub
(2018)
Interactive video search:
where is the user in the age of deep learning?
In: ACM MM 2018, 22–26 Oct 2018, Seoul, Korea.
ISBN 978-1-4503-5665-7
In this tutorial we discuss interactive video search tools and methods,
review their need in the age of deep learning, and explore
video and multimedia search challenges and their role as evaluation
benchmarks in the field of multimedia information retrieval. We
cover three different campaigns (TRECVID, Video Browser Showdown,
and the Lifelog Search Challenge), discuss their goals and
rules, and present their achieved findings over the last half-decade.
Moreover, we talk about datasets, tasks, evaluation procedures, and
examples of interactive video search tools, as well as how they
evolved over the years. Participants of this tutorial will be able to
gain collective insights from all three challenges and use them for
focusing their research efforts on outstanding problems that still
remain unsolved in this area
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
Czech Science Foundation (GAČR) project no. 17-22224S, European Union’s Horizon 2020 research and innovation programme under grant agreement no 761802, MARCONI.
ID Code:
22822
Deposited On:
10 Dec 2018 16:39 by
Cathal Gurrin
. Last Modified 19 Mar 2019 16:08