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.