Title: | Automatic text detection in video frames based on bootstrap artificial neural network and CED |
Authors: | Hao, Yan Yi, Zhang Zeng-guang, Hou Min, Tan |
Citation: | Journal of WSCG. 2003, vol. 11, no. 1-3. |
Issue Date: | 2003 |
Publisher: | UNION Agency – Science Press |
Document type: | článek article |
URI: | http://wscg.zcu.cz/wscg2003/Papers_2003/D31.pdf http://hdl.handle.net/11025/1666 |
ISSN: | 1213-6972 |
Keywords: | detekce textu;umělá neuronová síť;video snímky |
Keywords in different language: | text detection;artificial neural network;video frames |
Abstract: | In this paper, one novel approach for text detection in video frames, which is based on bootstrap artificial neural network (BANN) and CED operator, is proposed. This method first uses a new color image edge operator (CED) to segment the image and achieve the elementary candidate text block. And then the neural network is introduced into the further classification of the text blocks and the non-text blocks in video frames. The idea of bootstrap is introduced into the training of the ANN, thus improving the effectiveness of the neural network greatly. Experiments results proved that this method is effective. |
Rights: | © UNION Agency – Science Press |
Appears in Collections: | Volume 11, number 1-3 (2003) |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/1666
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