UIT at VBS 2022: An Unified and Interactive Video Retrieval System with Temporal Search

被引：2
|
作者：
Khanh Ho [1 ,2 ]
Vu Xuan Dinh [1 ,2 ]
Hong-Quang Nguyen [1 ,2 ]
Khiem Le [1 ,2 ]
Khang Dinh Tran [1 ,2 ]
Tien Do [1 ,2 ]
Tien-Dung Mai [1 ,2 ]
Thanh Duc Ngo [1 ,2 ]
Duy-Dinh Le [1 ,2 ]
机构：
[1] Univ Informat Technol, Ho Chi Minh City, Vietnam
[2] Vietnam Natl Univ, Ho Chi Minh City, Vietnam
来源：
MULTIMEDIA MODELING, MMM 2022, PT II | 2022年 / 13142卷
关键词：
Video retrieval; Interactive video search; Temporal search;
D O I：
10.1007/978-3-030-98355-0_54
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces our multimedia retrieval system for the Video Browser Showdown 2022 competition. The system was built for interactive retrieval task in a large video collection by focusing on four fundamental methods. First, we allow users to search by object features such as position and color. Secondly, our system also supports searching by text instances appearing in video segments. Next, we support searching by visual-textual association. And finally, the system can also search for videos containing a specific audio category. Moreover, we extend our framework to support temporal queries for all of the mentioned features.
引用
收藏
页码：556 / 561
页数：6
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