Paper Info
Title
A Novel System for Visual Navigation of Educational Videos Using Multimodal Cues.
Abstract
With recent developments and advances in distance learning and MOOCs, the amount of open educational videos on the Internet has grown dramatically in the past decade. However, most of these videos are lengthy and lack of high-quality indexing and annotations, which triggers an urgent demand for efficient and effective tools that facilitate video content navigation and exploration. In this paper, we propose a novel visual navigation system for exploring open educational videos. The system tightly integrates multimodal cues obtained from the visual, audio and textual channels of the video and presents them with a series of interactive visualization components. With the help of this system, users can explore the video content using multiple levels of details to identify content of interest with ease. Extensive experiments and comparisons against previous studies demonstrate the effectiveness of the proposed system.
Year
DOI
Venue
2017
10.1145/3123266.3123406
MM '17: ACM Multimedia Conference Mountain View California USA October, 2017
Keywords
Field
DocType
Educational videos, video structuring, visual navigation
Computer vision,Computer science,Communication channel,Distance education,Search engine indexing,Visual navigation,Interactive visualization,Artificial intelligence,Multimedia,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4503-4906-2
1
0.38
References 
Authors
20
5
Name
Order
Citations
PageRank
Baoquan Zhao153.16
Shujin Lin2777.74
Xiaonan Luo369792.76
Songhua Xu411620.49
Ruomei Wang53520.82