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A Heuristic Approach to Caption Enhancement for Effective Video OCR

机译:有效视频OCR的标题增强的启发式方法

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We present a heuristic approach to enhancing speech synchronized captions for video OCR, as a pre-process for subsequent tasks of multimedia indexing, segmentation and retrieval. We use a bi-search based caption transition detection method to improve efficiency, which adopts a simple heuristics that the same caption content usually lasts for a period for stable viewing. We propose a combination of color mask, changing mask and region mask to perform caption enhancement based on the discriminative characteristics of captions and backgrounds. Elaborate enhancement on individual characters is further used to remove small background residues. OCR experiments show that our caption enhancement approach brings a high character accuracy of 89.24%.
机译:我们提出了一种提高视频OCR的语音同步字幕的启发式方法,作为多媒体索引,分段和检索的后续任务的预处理。我们使用基于BI-Search的标题转换检测方法来提高效率,这采用了一个简单的启发式方法,即相同的标题内容通常持续为稳定查看的时段。我们提出了一种颜色掩模,更改掩模和区域掩模的组合,以基于标题和背景的辨别特性来执行标题增强。详细阐述各个字符的增强进一步用于去除小型背景残留物。 OCR实验表明,我们的标题增强方法带来了89.24%的高性能精度。

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