Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021

Ly Duyen Tran*, Manh Duy Nguyen, Duc Tien Dang-Nguyen, Silvan Heller, Florian Spiess, Jakub Lokoc, Ladislav Peska, Thao Nhu Nguyen, Omar Shahbaz Khan, Aaron Duane, Bjorn Por Jonsson, Luca Rossetto, An Zi Yen, Ahmed Alateeq, Naushad Alam, Minh Triet Tran, Graham Healy, Klaus Schoeffmann, Cathal Gurrin


研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)30982-30995
期刊IEEE Access
出版狀態Published - 2023


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