Le, Hoang-Bao ORCID: 0009-0000-2496-4347, Nguyen, Thao-Nhu, Le, Tu-Khiem, Tran, Minh-Triet, Nguyen, Thanh-Binh, Ninh, Van-Tu, Zhou, Liting and Gurrin, Cathal
(2024)
LifeSeeker 6.0: Leveraging the linguistic aspect of the lifelog system in LSC'24.
In: 7th Annual ACM Workshop on the Lifelog Search Challenge.
ISBN 9798400705502
Abstract
Supporting effective access to digital lifelogs is a challenging research task because of both the volume and variety of multimodal lifelog data, as well as the many and diverse types of information need that should be supported. In this paper, we introduce a new version of LifeSeeker called LifeSeeker 6.0, for the 2024 edition of the ACM Lifelog Search Challenge. Our enhancements include the improvements to the user interface and the backend reconstruction by combining the E-LifeSeeker structure with using contrastive learning between texts. These adjustments are aimed at accelerating the correlation between the huge image collection and the text input, thereby enhancing the retrieval accuracy and efficiency.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Workshop |
Refereed: | Yes |
Uncontrolled Keywords: | lifelog, information retrieval, interactive system, clip, contrastive learning |
Subjects: | Computer Science > Information retrieval Computer Science > Interactive computer systems Computer Science > Multimedia systems Computer Science > Software engineering Computer Science > Information storage and retrieval systems Computer Science > Lifelog |
DCU Faculties and Centres: | UNSPECIFIED |
Published in: | Proceedings of the 7th Annual ACM Workshop on the Lifelog Search Challenge. . Association for Computing Machinery. ISBN 9798400705502 |
Publisher: | Association for Computing Machinery |
Official URL: | https://dl.acm.org/doi/10.1145/3643489.3661121 |
ID Code: | 30153 |
Deposited On: | 13 Aug 2024 13:45 by Hoang Bao Le . Last Modified 13 Aug 2024 13:45 |
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