Introduction to the 9th Annual Lifelog Search Challenge, LSC'26

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Authors: Ly-Duyen Tran, Werner Bailer, Duc‐Tien Dang‐Nguyen, Graham Healy, Steve Hodges, Björn Þór Jónsson, Wolfgang Hürst, Luca Rossetto, Klaus Schoeffmann, Minh–Triet Tran, Liting Zhou, Cathal Gurrin
Cited by: 13
References: 4

Abstract

The ACM Lifelog Search Challenge (LSC) is an annual comparative benchmarking exercise that brings together researchers in the field of multimedia retrieval to evaluate interactive search systems using a large-scale multimodal lifelog dataset. This paper presents an overview of the ninth edition of the challenge (LSC’26), held as a workshop during the ACM International Conference on Multimedia Retrieval (ICMR ’26) in Amsterdam. To broaden its scope, the workshop now features three submission tracks: the traditional Challenge Track for real-time search performance, a new General Lifelog Research Track for theoretical and architectural advancements, and an additional Open Source Track aimed at enhancing reproducibility and reducing barriers to entry for new participants.

Fields of Study & Subjects

Multimodal Machine Learning Applications Topic Modeling Video Analysis and Summarization

Publication details

Journal / source
Proceedings of the 2026 International Conference on Multimedia Retrieval
Publisher
ACM
Pages
2904–2905
Publication date
15 June 2026
Language
EN