@inproceedings{55bfa3c7ff4141008a2b8692f80018df,
title = "A video text detection method based on key text points",
abstract = "This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. The proposed text tracking greatly speeds up the text detection.",
keywords = "Text detection, key text points, text localization, text tracking, wavelet transform",
author = "Zhi Li and Guizhong Liu and Xueming Qian and Chen Wang and Yana Ma and Yang Yang",
year = "2010",
doi = "10.1007/978-3-642-15702-8\_26",
language = "英语",
isbn = "3642157017",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "284--295",
booktitle = "Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings",
edition = "PART 1",
note = "11th Pacific Rim Conference on Multimedia, PCM 2010 ; Conference date: 21-09-2010 Through 24-09-2010",
}