Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
1-2020
Abstract
In this paper, we present the features implemented in the 4th version of the VIREO Video Search System (VIREO-VSS). In this version, we propose a sketch-based retrieval model, which allows the user to specify a video scene with objects and their basic properties, including color, size, and location. We further utilize the temporal relation between video frames to strengthen this retrieval model. For text-based retrieval module, we supply speech and on-screen text for free-text search and upgrade the concept bank for concept search. The search interface is also re-designed targeting the novice user. With the introduced system, we expect that the VIREO-VSS can be a competitive participant in the Video Browser Showdown (VBS) 2020.
Keywords
Query-by-object-sketch, Sketch-based retrieval, Video Browser Showdown, Video retrieval
Discipline
Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, January 5-8: Proceedings
Volume
11962
First Page
772
Last Page
777
ISBN
9783030377342
Identifier
10.1007/978-3-030-37734-2_68
Publisher
Springer
City or Country
Cham
Citation
NGUYEN, Phuong Anh; WU, Jiaxin; NGO, Chong-wah; FRANCIS, Danny; and HUET, Benoit.
VIREO @ Video Browser Showdown 2020. (2020). MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, January 5-8: Proceedings. 11962, 772-777.
Available at: https://ink.library.smu.edu.sg/sis_research/6613
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-030-37734-2_68