Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
4-2014
Abstract
In this demonstration, we demonstrate a mobile-based celebrity video browsing system called CeleBrowser. Using this system, users can interactively switch among four views: people-centric, timeline-centric, month-centric and topic-centric, for browsing celebrity-related hot videos. A peculiarity of the demonstration is to highlight the advantage of multiperspective information organization and presentation in engaging users for exploratory browsing of large number of Web videos on a device with small screen. Technology-wise the demonstration shows how query logs collected for six months from two vertical search engines are leveraged for mining hot events and videos of celebrities.
Keywords
Event extraction, Log analysis, Video browsing, Visual summarization
Discipline
Databases and Information Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 4th ACM International Conference on Multimedia Retrieval, ICMR 2014, Glasgow, United Kingdom, April 1-4
First Page
514
Last Page
517
ISBN
9781450327824
Identifier
10.1145/2578726.2582614
Publisher
ACM
City or Country
Glasgow
Citation
TAN, Song; NGO, Chong-wah; XU, Jun; and RUI, Yong.
CeleBrowser: An example of browsing big data on small device. (2014). Proceedings of the 4th ACM International Conference on Multimedia Retrieval, ICMR 2014, Glasgow, United Kingdom, April 1-4. 514-517.
Available at: https://ink.library.smu.edu.sg/sis_research/6496
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons