Name
Title | ||
|---|---|---|
Subtitle positioning for e-learning videos based on rough gaze estimation and saliency detection |
Abstract | ||
|---|---|---|
Subtitle is very common shown in a variety categories of videos, especially useful as translated subtitles for native speakers. Traditional subtitle is placed at the bottom of videos in order to prevent from occluding essential video contents. However, traversing between important video contents and subtitle frequently will have a negative impact on focusing watching video itself. Recently, some research work try more flexible subtitle positioning strategy. However, these methods are effective with restrictions on the video content and devices adopted. In this work, we propose a novel subtitle content organization and placement framework based on rough gaze estimation and saliency detection.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3145690.3145735 | SA '17: SIGGRAPH Asia 2017
Bangkok
Thailand
November, 2017 |
Keywords | Field | DocType |
subtitle positioning,gaze estimation,saliency detection | Computer vision,E learning,Gaze,Computer science,Salience (neuroscience),Content organization,Subtitle,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
978-1-4503-5405-9 | 0 | 0.34 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Jiang | 1 | 0 | 0.34 |
| Sijiang Liu | 2 | 0 | 0.34 |
| Liping He | 3 | 0 | 0.34 |
| Weimin Wu | 4 | 236 | 43.97 |
| Hongli Chen | 5 | 0 | 0.68 |
| Yunfei Shen | 6 | 0 | 0.34 |