A Study of Text Extraction in Videos Using Independent Component Analysis

• Main Authors: Pe-Lin Hsieh, 謝珮琳
• Other Authors: Tzren-Ru Chou
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/55082014916767550122

碩士 === 國立臺灣師範大學 === 圖文傳播學系 === 94 === 　　In this thesis, a new text extraction method is proposed for digital video. The text in the video frames is extracted by means of the independent component analysis (ICA). There are three representations of the image frames are introduced to fit the need of the ICA procedure. The first is the sequence representation for a sequence of image frames. The second and the third are the rgb representation and the high order representation for a single image frame respectively. The font, color, scale, and orientation of the subtitles in the sample videos are changed to evaluate the performance of our method. The experimental results show that the method we developed in this thesis is robust and systematic. It is very effective and accurate for the text extraction in videos, without any complex adjustment of the parameters.