由于视频中固化的字幕影响了不同语种间视频的交流和处理，为此提出了一种基于CEMA算法和纹理修复技术的自动检测与去除视频内字幕的方法。首先，运用CEMA算法检测出视频中的字幕，然后，结合纹理修复技术，将检测出来的字幕从原图中去除，同时，恢复原图中被字幕所遮挡的背景区域。实验结果表明，该方法能较好地检测和去除视频图像内的字幕。

The texts embedded in video images have obstructed video intercommunication and processing among different languages. This paper proposes an approach for automatic text detection and removal in video images based on CEMA and texture restoration. First, text regions in the video images are detected by a CEMA based algorithm. Second, we remove the detected texts from the original video images by texture based restoration technology; meanwhile, restore the background occluded by texts in video images. Experiment results show that the proposed method performs fairly well.