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Contribution Details
Type | Conference or Workshop Paper |
Scope | Discipline-based scholarship |
Published in Proceedings | Yes |
Title | Multi-Mode Clustering for Graph-Based Lifelog Retrieval |
Organization Unit | |
Authors |
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Editors |
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Presentation Type | paper |
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
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ISBN | 9798400701887 |
Page Range | 36 - 40 |
Event Title | ICMR '23: International Conference on Multimedia Retrieval |
Event Type | workshop |
Event Location | Thessaloniki Greece |
Event Start Date | July 12 - 2023 |
Event End Date | July 15 - 2023 |
Series Name | Proceedings of the 2023 International Conference on Multimedia Retrieval |
Place of Publication | New York, NY, USA |
Publisher | ACM Digital library |
Abstract Text | As part of the 6th Lifelog Search Challenge, this paper presents an approach to arrange Lifelog data in a multi-modal knowledge graph based on cluster hierarchies. We use multiple sequence clustering approaches to address the multi-modal nature of Lifelogs in relation to temporal, spatial, and visual factors. The resulting clusters, along with semantic metadata captions and augmentations based on OpenCLIP, provide for the semantic structure of a graph including all Lifelogs as entries. Textual queries on this hierarchical graph can be expressed to retrieve individual Lifelogs, as well as clusters of Lifelogs. |
Digital Object Identifier | 10.1145/3592573.3593102 |
Other Identification Number | merlin-id:23770 |
PDF File | Download from ZORA |
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