A Method of Effective Text Extraction for Complex Video Scene. (10th July 2016)

• Record Type: Journal Article
• Authors: Guo, Zhe; Li, Yuan; Wang, Yi; Liu, Shu; Lei, Tao; Fan, Yangyu
• Other Names: Cuevas Erik Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2016(2016)
• Publication Date: 2016-07-10
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2016/2187647
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.