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Graph-based indexing and retrieval of lifelog data

Nguyen, Manh-Duy, Nguyen, Thanh-Binh and Cathal, Gurrin ORCID: 0000-0003-4395-7702 (2021) Graph-based indexing and retrieval of lifelog data. In: International Conference on Multimedia Modeling (MMM2021), 22 - 24 June 2021, Prague. ISBN 978-3-030-67834-0

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Abstract

Understanding the relationship between objects in an image is an important challenge because it can help to describe actions in the image. In this paper, a graphical data structure, named “Scene Graph”, is utilized to represent an encoded informative visual relationship graph for an image, which we suggest has a wide range of potential applications. This scene graph is applied and tested in the popular domain of lifelogs, and specifically in the challenge of known-item retrieval from lifelogs. In this work, every lifelog image is represented by a scene graph, and at retrieval time, this scene graph is compared with the semantic graph, parsed from a textual query. The result is combined with location or date information to determine the matching items. The experiment shows that this technique can outperform a conventional method.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Scene graph
Subjects:Computer Science > Information retrieval
Computer Science > Machine learning
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: MMM 2021: MultiMedia Modeling. Lecture Notes in Computer Science (LNCS) 12573. Springer. ISBN 978-3-030-67834-0
Publisher:Springer
Official URL:https://dx.doi.org/10.1007/978-3-030-67835-7_22
Copyright Information:© 2021 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland under grant numbers SFI/12/RC/2289, SFI/13/RC/2106, and 18/CRT/6223
ID Code:25958
Deposited On:02 Jun 2021 16:06 by Manh Duy Nguyen . Last Modified 02 Jun 2021 16:06

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