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Voxento 4.0: A more flexible visualisation and control for lifelogs

Alateeq, Ahmed orcid logoORCID: 0000-0001-7916-6393, Mark, Roantree orcid logoORCID: 0000-0002-1329-2570 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2023) Voxento 4.0: A more flexible visualisation and control for lifelogs. In: ICMR '23: International Conference on Multimedia Retrieval, 12 - 15 Jun 2023, Thessaloniki Greece. ISBN 979-8-4007-0188-7

In this paper, we introduce Voxento 4.0 – an interactive voice-based retrieval system for lifelogs which has been developed to participate in the sixth Lifelog Search Challenge LSC’23, at ACM ICMR’23. Voxento has participated three times in the LSC editions and achieved the rank of 4th in LSC21 and 5th in LSC22 respectively. In this version, Voxento 4.0, we have focused on improving the previous system’s interface, voice interaction and retrieval functionality. The current version has implemented some processing and cleaning of the dataset and employs the CLIP model to extract image features. In addition, the system’s interface was redesigned for better visualisation of the elements and the images for effective interaction. This improvement in the interface will help to support voice interaction in future work. The interface developments include logging voice interaction and images displayed, submitted, selected and starred to enhance user experience with the system. The voice interaction part has also been enhanced in the workflow of the voice lifecycle interaction and with additional voice commands.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:lifelog; interactive retrieval; voice interaction; speech recognition; speech synthesis
Subjects:Computer Science > Information retrieval
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: Gurrin, Cathal and Jónsson, Björn Þór, (eds.) Proceedings of the 6th Annual Workshop on Lifelog Search Challenge (LSC'21). . Association for Computing Machinery (ACM). ISBN 979-8-4007-0188-7
Publisher:Association for Computing Machinery (ACM)
Official URL:https://doi.org/10.1145/3592573.3593097
Copyright Information:© 2023 The Authors.
Funders:Science Foundation Ireland and the Insight Centre for Data Analytics through the grant number SFI/12/RC/2289-P2, Ministry of Education in Saudi Arabia
ID Code:28949
Deposited On:11 Sep 2023 11:22 by Ahmed Alateeq . Last Modified 11 Sep 2023 11:22

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