title: A spatial-temporal approach for video caption detection and recognition.
abstract: We present a video caption detection and recognition system based on a fuzzy-clustering neural network (FCNN) classifier. Using a novel caption-transition detection scheme we locate both spatial and temporal positions of video captions with high precision and efficiency. Then employing several new character segmentation and binarization techniques, we improve the Chinese video-caption recognition accuracy from 13% to 86% on a set of news video captions. As the first attempt on Chinese video-caption recognition, our experiment results are very encouraging.
authors.affiliation: Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China.
authors.forename: Xiaoou
authors.initials: X
authors.lastname: Tang
authors.forename: Xinbo
authors.initials: X
authors.lastname: Gao
authors.forename: Jianzhuang
authors.initials: J
authors.lastname: Liu
authors.forename: Hongjiang
authors.initials: H
authors.lastname: Zhang