A novel system for visual navigation of educational videos using multimodal cues

Document Type

Conference Proceeding

Publication Date

10-23-2017

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.

Identifier

85035196598 (Scopus)

ISBN

[9781450349062]

Publication Title

Mm 2017 Proceedings of the 2017 ACM Multimedia Conference

External Full Text Location

https://doi.org/10.1145/3123266.3123406

First Page

1680

Last Page

1688

Grant

61232011

Fund Ref

National Natural Science Foundation of China

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