A Novel Video Text Extraction Approach Based on Multiple Frames

This paper describes a novel approach to detect and segment static superimposed texts by utilizing multiple video frame information. For text detection, multiple frames are used to verify the appearance of the text regions which have been detected on a single frame. In order to refine the text regions, text detection is performed again on a synthesized image, which is produced by minimum/maximum pixel search on consecutive frames. In text segmentation, we exploit edge feature to further remove complex background in addition to traditional gray-value integration. Experimental results demonstrate the effectiveness of the proposed method