Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

10-2010

Abstract

While there have been research efforts in organizing largescale web videos into topics, efficient browsing of web video topics remains a challenging problem not yet addressed. The related issues include how to efficiently browse and track the evolution of topics and eventually locate the videos of interest. In this paper, we introduce a novel interface for visualizing video topics as evolution trajectories. The trajectory visualization is capable of highlighting milestone events and depicting the topical hotness over time. The interface also allows multi-level browsing from topics to events and to videos, resulting in search exploration could be more efficiently conducted to locate videos of interest. In addition, recommendation of topics accordingly to three-hots: content-hot, evolution-hot and potential-hot, can be easily supported by our system. A user study on three months’ YouTube videos using our interface demonstrates the efficiency of our system in browsing web videos.

Keywords

topic trajectory, visualization, web video

Discipline

Databases and Information Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of the 18th ACM International Conference on Multimedia ACM Multimedia, MM2010, Firenze, Italy, October 25-29

First Page

1639

Last Page

1642

ISBN

9781605589336

Identifier

10.1145/1873951.1874309

Publisher

ACM

City or Country

Firenze, Italy

Download

Share

COinS