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Abstract
According to the edge and gradient based algorithm for text information extraction of video image under the multimedia environment, the line structure of the video image is acted as a feature of text information to obtain the change law of line structure in video images. However, pseudo area, large noise and poor adaptability etc., appear during extraction step. Thus, a text information extraction algorithm of video images in multimedia environment is proposed. The shot of multimedia video images is segmented, and video images with text information are detected. The text of segmented video images is located, and the text information is extracted using linear extraction method. The maximum between-class variance method is adopted to optimize extracted text information, so as to achieve text information extraction of video images in multimedia environment. The experimental results show that the method considers the region of extracted text and situation of text noise in multimedia environment, and saves the extraction time compared to general extraction methods, and improves the extraction accuracy and adaptability, which can effectively advance the performance of text extraction.