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

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, easyto-use but effective user interface. The system supports freetext 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 freetext 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

Publication Details

Journal
Dublin City University Open Access Institutional Repository (Dublin City University)
Published
2024-09-01
DOI
https://doi.org/10.1109/cbmi62980.2024.1085922
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

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

Dublin City University Open Access Institutional Repository (Dublin City University)
Multimodal Machine Learning Applications
article

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

article en

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, easyto-use but effective user interface. The system supports freetext 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 freetext 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

Dublin City University Open Access Institutional Repository (Dublin City University)
Science Foundation Ireland, Dublin City University
Openalex Percentile: Top 66%
Multimodal Machine Learning Applications
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