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A task category space for user-centric comparative multimedia search evaluations

Lokoc, Jakub orcid logoORCID: 0000-0002-3558-4144, Bailer, Werner orcid logoORCID: 0000-0003-2442-4900, Barthel, Kai Uwe orcid logoORCID: 0000-0001-6309-572X, Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968, Heller, Silvan orcid logoORCID: 0000-0001-5386-330X, Jónsson, Björn Þór orcid logoORCID: 0000-0003-0889-3491, Peska, Ladislav orcid logoORCID: 0000-0001-8082-4509, Rossetto, Luca orcid logoORCID: 0000-0002-5389-9465, Schoeffmann, Klaus orcid logoORCID: 0000-0002-9218-1704, Vadicamo, Lucia orcid logoORCID: 0000-0001-7182-7038, Vrochidis, Stefanos orcid logoORCID: 0000-0002-2505-9178 and Wu, Jiaxin orcid logoORCID: 0000-0003-4074-3442 (2022) A task category space for user-centric comparative multimedia search evaluations. In: International Conference on Multimedia Modeling (MMM2022), 6–10 June 2022,, Phu Quoc, Vietnam.

Abstract
In the last decade, user-centric video search competitions have facilitated the evolution of interactive video search systems. So far, these competitions focused on a small number of search task categories, with few attempts to change task category configurations. Based on our extensive experience with interactive video search contests, we have analyzed the spectrum of possible task categories and propose a list of individual axes that define a large space of possible task categories. Using this concept of category space, new user-centric video search competitions can be designed to benchmark video search systems from different perspectives. We further analyse the three task categories considered so far at the Video Browser Showdown and discuss possible (but sometimes challenging) shifts within the task category space
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Multimedia retrieval; Task taxonomy; Evaluation design;
Subjects:Computer Science > Multimedia systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > ADAPT
Published in: MMM 2022: MultiMedia Modeling. Lecture Notes in Computer Science (LNCS) 13141. Springer.
Publisher:Springer
Official URL:https://dx.doi.org/10.1007/978-3-030-98358-1_16
Copyright Information:© 2022 Springer
Funders:Czech Science Foundation (GAČR) project 19-22071Y, Science Foundation Ireland under grant number SFI/12/RC/2289_2, EU’s Horizon 2020 research and innovation programs, under grant agreements n◦ 951911 AI4Media and n◦ 825079 MindSpaces
ID Code:27657
Deposited On:07 Sep 2022 16:10 by Cathal Gurrin . Last Modified 03 Mar 2023 12:45
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