A Smart Approach for Text Detection, Localization and Extraction in Video Frames

2009 International Conference on Information Technology and Computer Science ◽

10.1109/itcs.2009.40 ◽

2009 ◽

Cited By ~ 4

Author(s):

Shuicai Shi ◽

Tao Cheng ◽

Shibin Xiao ◽

Xueqiang Lv

Keyword(s):

Text Detection ◽

Video Frames

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A Hybrid System for Text Detection in Video Frames

2008 The Eighth IAPR International Workshop on Document Analysis Systems ◽

10.1109/das.2008.72 ◽

2008 ◽

Cited By ~ 20

Author(s):

Marios Anthimopoulos ◽

Basilis Gatos ◽

Ioannis Pratikakis

Keyword(s):

Hybrid System ◽

Text Detection ◽

Video Frames

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Text detection in video frames using hybrid features

2009 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2009.5212547 ◽

2009 ◽

Cited By ~ 5

Author(s):

Zhong Ji ◽

Jian Wang ◽

Yu-Ting Su

Keyword(s):

Text Detection ◽

Hybrid Features ◽

Video Frames

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Artificial Urdu Text Detection and Localization from Individual Video Frames

Mehran University Research Journal of Engineering and Technology ◽

10.22581/muet1982.1802.18 ◽

2018 ◽

Vol 37 (2) ◽

pp. 429-438 ◽

Cited By ~ 8

Author(s):

Salahuddin Unar ◽

◽

Akhtar Hussain Jalbani ◽

Muhammad Moazzam Jawaid ◽

Mohsin Shaikh ◽

...

Keyword(s):

Text Detection ◽

Video Frames ◽

Detection And Localization

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A New Text Detection Algorithm in Images/Video Frames

Advances in Multimedia Information Processing - PCM 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30542-2_106 ◽

2004 ◽

pp. 858-865 ◽

Cited By ~ 7

Author(s):

Qixiang Ye ◽

Qingming Huang

Keyword(s):

Detection Algorithm ◽

Text Detection ◽

Video Frames

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Multi-oriented text detection and verification in video frames and scene images

Neurocomputing ◽

10.1016/j.neucom.2017.09.089 ◽

2018 ◽

Vol 275 ◽

pp. 1531-1549 ◽

Cited By ~ 17

Author(s):

Aneeshan Sain ◽

Ayan Kumar Bhunia ◽

Partha Pratim Roy ◽

Umapada Pal

Keyword(s):

Text Detection ◽

Video Frames

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An Exploration of Wavelet Transform and Level Set Method for Text Detection in Images and Video Frames

Advances in Intelligent Systems and Computing - Recent Advances in Intelligent Informatics ◽

10.1007/978-3-319-01778-5_43 ◽

2014 ◽

pp. 419-426 ◽

Cited By ~ 5

Author(s):

V. N. Manjunath Aradhya ◽

M. S. Pavithra ◽

S. K. Niranjan

Keyword(s):

Wavelet Transform ◽

Level Set Method ◽

Level Set ◽

Text Detection ◽

Video Frames

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An adaptive text detection approach in images and video frames

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4633769 ◽

2008 ◽

Cited By ~ 1

Author(s):

Minhua Li ◽

Chunheng Wang

Keyword(s):

Text Detection ◽

Video Frames ◽

Detection Approach

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A New Edge-Based Method for Artificial Text Detection

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.998-999.793 ◽

2014 ◽

Vol 998-999 ◽

pp. 793-796

Author(s):

Don Gao Zhou ◽

Qi Cai Du ◽

Qiang Lin ◽

Jia Yu Lin

Keyword(s):

Semantic Content ◽

Recall Rate ◽

Text Detection ◽

Threshold Method ◽

Textual Information ◽

Video Frames ◽

Local Threshold ◽

Projection Analysis ◽

Edge Based ◽

High Level

In video indexing and retrieval systems, textual information is high-level semantic content to describe images or video frames, which is also one of the most interesting objects of study. A great progress has been made in text detection in recent decades, but it is still a great challenge due to the complex background, various fonts and different languages, etc. In this paper, we propose a edge-based approach to detect artificial text. First, the image edge map and difference range map are calculated. Then the map is binarized by local threshold method. Finally the textual information is located through the regional projection analysis. Experience results show our method’s precision rate is 91.1% and recall rate 93.2%, which outperforms the previous work.

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