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Mathematical Problems in Engineering
Volume 2016, Article ID 2187647, 11 pages
Research Article

A Method of Effective Text Extraction for Complex Video Scene

1School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
2School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China
3College of Electrical & Information Engineering, Shaanxi University of Science & Technology, Xi’an 710021, China

Received 26 January 2016; Accepted 12 June 2016

Academic Editor: Erik Cuevas

Copyright © 2016 Zhe Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Text information contains important information for video analysis, indexing, and retrieval. Effective and efficient text extraction has been a challenging topic in recent years. Focusing on this issue, a text extraction method for complex video scene is proposed in this paper. Multiframe corner matching and heuristic rules are combined together to detect the text region candidates, which solves the issue of Harris corner filtration for complex video scene and also improves the detection accuracy using multiframe fusion. Local texture description is then used for similarity evaluation judged by SVM. Experimental results for 4 different types of 395-frame video images show the effectiveness of the proposed method compared with 5 existing text extraction methods.