视频中人物识别的文本检测与识别

Johann Poignant, F. Thollard, G. Quénot, L. Besacier
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引用次数: 8

摘要

本文演示了在音像广播中仅使用视频中可用的文本和视频外部资源中的人员搜索。我们还介绍了用于多模态人物识别系统中视频字符识别的不同步骤。文本检测是利用文本特征(纹理、颜色、对比度、几何形状、时间信息)实现的。文本识别本身是由谷歌Tesseract免费软件执行的。该方法在包含法国2频道59个视频的广播新闻语料库上成功地进行了评估。
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Text detection and recognition for person identification in videos
This article presents a demo of person search in audiovisual broadcast using only the text available in a video and in resources external to the video. We also present the different steps used to recognize characters in video for multi-modal person recognition systems. Text detection is realized using the text features (texture, color, contrast, geometry, temporal information). The text recognition itself is performed by the Google Tesseract free software. The method was successfully evaluated on a broadcast news corpus that contains 59 videos from the France 2 French TV channel.
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