The Lifelog Search Challenge (LSC) is an interactive benchmarking evaluation workshop
for lifelog retrieval systems. The challenge was first organised in 2018 aiming to find the system that can
quickly retrieve relevant lifelog images for a given semantic query. This paper provides an analysis of the performance of all 17 systems participating in the 4th LSC workshop held at the 2021 Annual ACM International Conference on Multimedia Retrieval (ICMR). LSC’21 was the largest effort at comparing different approaches to interactive lifelog retrieval systems seen thus far. Findings from the challenge suggest that many different interactive factors contribute to the success (or otherwise) of participating teams. In this paper, we provide an overview of the LSC’21 challenge, introduce each team’s approach and explore these factors in depth and offer clues on how to develop a high-performing interactive lifelog search engine
Metadata
Item Type:
Article (Published)
Refereed:
Yes
Uncontrolled Keywords:
Interactive systems; Multimodal sensors; Visualization; Cameras; Information retrieval; Benchmark testing; Lifelog; information retrieval; multimodal; analytics
Science Foundation Ireland Centre for Research Training, Insight Science Foundation Ireland (SFI) Research Centre for Data Analytics, Czech Science Foundation (GAČR), ADAPT—Centre for Digital Content Technology, Swiss National Science Foundation, Charles University
ID Code:
29962
Deposited On:
29 Apr 2024 14:24 by
Ly Duyen Tran
. Last Modified 29 Apr 2024 14:24
Documents
Full text available as:
Preview
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0 2MB