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Efficient Search with an Interactive Video Retrieval System for Novice Users in IVR4B

Nguyen, Thao-Nhu, Puangthamawathanakun, Bunyarit, Arpnikanondt, Chonlameth, Gurrin, Cathal orcid logoORCID: 0000-0003-4395-7702, Caputo, Annalina and Healy, Graham orcid logoORCID: 0000-0001-6429-6339 (2023) Efficient Search with an Interactive Video Retrieval System for Novice Users in IVR4B. In: Proceedings of the 20th International Conference on Content-Based Multimedia Indexing. ISBN 9798400709128

Abstract
In this paper, we present the second release of VideoCLIP, an interactive CLIP-based video retrieval system that participated in the Video Browser Showdown 2023. While we continue to use the underlying architecture to map the content between image and text, we concentrate on improving the user experience for novice users. Specifically, we have implemented three different query modalities and redesigned the user interface in order to adapt to the context of the Interactive Video Retrieval for Beginners (IVR4B) workshop. These modifications ultimately aim to provide newcomers with a simple and efficient user experience to locate the desired videos.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:multimodal data, retrieval system, user interface, video retrieval
Subjects:Computer Science > Information retrieval
Computer Science > Multimedia systems
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Publisher:Association for Computing Machinery
Official URL:https://doi.org/10.1145/3617233.3617273
Funders:Science Foundation Ireland under Grant Agreement No.18/CRT/6223, Science Foundation Ireland under Grant Agreement No.13/RC/2106_P2 at the ADAPT SFI Research Centre at DCU
ID Code:29970
Deposited On:30 Apr 2024 11:19 by Thao-Nhu Nguyen . Last Modified 30 Apr 2024 11:19
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