Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Video Text Extraction Based on Stroke Width and Color

Authors
Huang Xiaodong, Wang Qin, Liu Kehua, Zhu Lishang
Corresponding Author
Huang Xiaodong
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.77How to use a DOI?
Keywords
Text extraction, K-means, High-frequency Emphasis, Text Stroke Width
Abstract
Video text can be used to infer important semantics information of video. Video text extraction is a crucial step to recognize video text. Most of previous works can not extract the text well when the text regions have complex background or text character stroke width is unknown. Therefore, we propose a text extraction method, which can accurately extract the video text in complex background and various text character sizes. Experimental results on TV news video show the encouraging performance of the proposed algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.77How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huang Xiaodong
AU  - Wang Qin
AU  - Liu Kehua
AU  - Zhu Lishang
PY  - 2013/11
DA  - 2013/11
TI  - Video Text Extraction Based on Stroke Width and Color
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.77
DO  - https://doi.org/10.2991/icmt-13.2013.77
ID  - Xiaodong2013/11
ER  -