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

被引：0
|
作者：
Nguyen, Thao-Nhu [1 ]
Puangthamawathanakun, Bunyarit [1 ]
Arpnikanondt, Chonlameth [2 ]
Gurrin, Cathal [1 ]
Healy, Graham [1 ]
Caputo, Annalina [1 ]
机构：
[1] Dublin City Univ, Dublin, Ireland
[2] King Mongkuts Univ Technol Thonburi, Bangkok, Thailand
来源：
20TH INTERNATIONAL CONFERENCE ON CONTENT-BASED MULTIMEDIA INDEXING, CBMI 2023 | 2023年
基金：
爱尔兰科学基金会;
关键词：
video retrieval; multimodal data; user interface; retrieval system;
D O I：
10.1145/3617233.3617273
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：168 / 172
页数：5
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