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