Abstract
This paper presents a novel method to detect the static subtitle using the saliency map. In the proposed method, subtitle candidates are first extracted by using an unconstrained scene text detector algorithm, called FASText. Then, the saliency map is employed to select the final subtitle among the subtitle candidates. Experimental results show that the proposed method achieves more accurate subtitle detection performance as compared with the conventional methods.
| Original language | English |
|---|---|
| Title of host publication | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-2 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781538626153 |
| DOIs | |
| Publication status | Published - 2018 May 30 |
| Event | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand Duration: 2018 Jan 7 → 2018 Jan 9 |
Other
| Other | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 |
|---|---|
| Country | Thailand |
| City | Chiang Mai |
| Period | 18/1/7 → 18/1/9 |
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Keywords
- Pulse discrete cosine transform
- Saliency map
- Subtitle detection
- Text detection
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Media Technology
Cite this
A novel method to detect the static subtitle using the saliency map. / Kim, Min Hoi; Kim, Bo Sang; Park, Seung; Ko, Sung-Jea.
2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-2.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A novel method to detect the static subtitle using the saliency map
AU - Kim, Min Hoi
AU - Kim, Bo Sang
AU - Park, Seung
AU - Ko, Sung-Jea
PY - 2018/5/30
Y1 - 2018/5/30
N2 - This paper presents a novel method to detect the static subtitle using the saliency map. In the proposed method, subtitle candidates are first extracted by using an unconstrained scene text detector algorithm, called FASText. Then, the saliency map is employed to select the final subtitle among the subtitle candidates. Experimental results show that the proposed method achieves more accurate subtitle detection performance as compared with the conventional methods.
AB - This paper presents a novel method to detect the static subtitle using the saliency map. In the proposed method, subtitle candidates are first extracted by using an unconstrained scene text detector algorithm, called FASText. Then, the saliency map is employed to select the final subtitle among the subtitle candidates. Experimental results show that the proposed method achieves more accurate subtitle detection performance as compared with the conventional methods.
KW - Pulse discrete cosine transform
KW - Saliency map
KW - Subtitle detection
KW - Text detection
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UR - http://www.scopus.com/inward/citedby.url?scp=85048753844&partnerID=8YFLogxK
U2 - 10.1109/IWAIT.2018.8369652
DO - 10.1109/IWAIT.2018.8369652
M3 - Conference contribution
AN - SCOPUS:85048753844
SP - 1
EP - 2
BT - 2018 International Workshop on Advanced Image Technology, IWAIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -