A novel method to detect the static subtitle using the saliency map

Min Hoi Kim; Bo Sang Kim; Seung Park; Sung-Jea Ko

doi:10.1109/IWAIT.2018.8369652

A novel method to detect the static subtitle using the saliency map

Min Hoi Kim, Bo Sang Kim, Seung Park, Sung-Jea Ko

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1109/IWAIT.2018.8369652
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

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

Access to Document

10.1109/IWAIT.2018.8369652

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Cite this

Kim, MH, Kim, BS, Park, S & Ko, S-J 2018, A novel method to detect the static subtitle using the saliency map. in 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 2018 International Workshop on Advanced Image Technology, IWAIT 2018, Chiang Mai, Thailand, 18/1/7. https://doi.org/10.1109/IWAIT.2018.8369652

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