Affiliation:
1. Dublin City University, Ireland
2. IT University of Copenhagen, Denmark
3. Institute of Information Technology (ITEC), Klagenfurt University
Abstract
Information retrieval and multimedia content access have a long history of comparative evaluation, and many of the advances in the area over the past decade can be attributed to the availability of open datasets that support comparative and repeatable experimentation. Hence, sharing data and code to allow other researchers to replicate research results is needed in the multimedia modeling field, as it helps to improve the performance of systems and the reproducibility of published papers.
This report summarizes the special session on Multimedia Datasets for Repeatable Experimentation (MDRE 2020), which was organized at the 26th International Conference on MultiMedia Modeling (MMM 2020), held in January 2020 in Daejeon, South Korea.
The intent of these special sessions is to be a venue for releasing datasets to the multimedia community and discussing dataset related issues. The presentation mode in 2020 was to have short presentations (approximately 8 minutes), followed by a panel discussion moderated by Aaron Duane. In the following we summarize the special session, including its talks, questions, and discussions.
Publisher
Association for Computing Machinery (ACM)