Name
Abstract | ||
|---|---|---|
MOOC participants spend most of their time watching videos in a course and recent studies have found that there is a requirement of non-linear navigation system for educational videos. We propose a system that provides efficient and non-linear navigation in a given video using multi-modal dimensions (i.e. customized word-cloud, image cloud) derived from video content. The end-to-end system is implemented and we demonstrate capabilities of proposed system using any given YouTube or MOOC video. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2663204.2669630 | ICMI |
Keywords | Field | DocType |
image cloud,video navigation,word-cloud,multimedia information systems,moocs,word cloud | Computer vision,Nonlinear system,Computer science,Video navigation,Navigation system,Human–computer interaction,Tag cloud,Artificial intelligence,Multimedia,Cloud computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuldeep Yadav | 1 | 80 | 9.95 |
| Kundan Shrivastava | 2 | 1 | 1.04 |
| Om Deshmukh | 3 | 56 | 10.55 |