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VidBasys: A User-friendly Interactive Video Retrieval System for Novice Users in IVR4B

Nguyen, Thao-Nhu orcid logoORCID: 0000-0003-1356-9434, Tran, Quang-Linh orcid logoORCID: 0000-0002-5409-0916, Le, Hoang-Bao orcid logoORCID: 0009-0000-2496-4347, Nguyen, Binh T., Zhou, Liting orcid logoORCID: 0000-0002-7778-8743, Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2024) VidBasys: A User-friendly Interactive Video Retrieval System for Novice Users in IVR4B. In: The 21st International Conference on Content-based Multimedia Indexing, 18-20 September 2024, Reykjavik, Iceland.

Abstract
In this paper, we present the VidBasys interactive video retrieval system for novice users, an upgraded version of VideoCLIP 2.0 that participated in the Video Browser Showdown 2024. While the novel user interface is designed in a more user-friendly way for newbies to accommodate the target of the Interactive Video Retrieval for Beginner (IVR4B), the core search engine is enhanced with the advance of the recent CLIP model to bridge the gap in semantics between image and text. This version is designed to focus on novice users with a simple, easy-to-use but effective user interface. The system supports free-text search to enhance the user experience and minimise the number of actions required for filtering. The new user interface supports simple search and filters with clearly designed free- text search boxes. In addition, the retrieved results are displayed in an optimised layout to maximise image display space and minimise user interactions. The improvements are expected to support novice users in accurately retrieving the desired videos.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Information retrieval
Computer Science > Interactive computer systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of the 21st International Conference on Content-based Multimedia Indexing. .
Official URL:https://cbmi2024.org/
Copyright Information:Authors
Funders:ADAPT Centre
ID Code:30611
Deposited On:02 Sep 2025 14:50 by Quang-Linh Tran . Last Modified 02 Sep 2025 14:50
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