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Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021

Authors :
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
Source :
IEEE Access, Vol 11, Pp 30982-30995 (2023)
Publication Year :
2023
Publisher :
IEEE, 2023.

Abstract

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.

Details

Language :
English
ISSN :
21693536
Volume :
11
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.20fa9a3cfed412dbfa5a3674738acf1
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2023.3248284