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Caption detection from video sequence based on fuzzy neural networks

机译:基于模糊神经网络的视频序列的标题检测

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Caption graphically superimposed in video frames can provide important indexing information. The automatic detection and recognition of video captions can be of great help in querying topics of interest in digital news library. To detect the caption from video sequence, we present algorithms based on fuzzy clustering neural networks. Since neural networks have the capabilities of learning and self-organizing and parallel computing mechanism, with the great increasing of digital images and video databases, neural networks based techniques become more efficient and popular tools for multimedia processing. Experimental results show that our caption detection scheme is effective and robust.
机译:在视频帧中以图形叠加的标题可以提供重要的索引信息。自动检测和识别视频字幕可以很大帮助在数字新闻库中查询感兴趣的主题。要检测视频序列的标题,我们提供了基于模糊聚类神经网络的算法。由于神经网络具有学习和自组织和并行计算机制的能力,随着数字图像和视频数据库的巨大增加,基于神经网络的技术变得更有效和流行的多媒体处理工具。实验结果表明,我们的标题检测方案是有效且鲁棒的。

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