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Automatic caption localization in compressed video

机译:压缩视频中的字幕自动定位

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We present a method to automatically localize captions in JPEG compressed images and the I-frames of MPEG compressed videos. Caption text regions are segmented from background images using their distinguishing texture characteristics. Unlike previously published methods which fully decompress the video sequence before extracting the text regions, this method locates candidate caption text regions directly in the DCT compressed domain using the intensity variation information encoded in the DCT domain. Therefore, only a very small amount of decoding is required. The proposed algorithm takes about 0.006 second to process a 240/spl times/350 image and achieves a recall rate of 99.17 percent while falsely accepting about 1.87 percent nontext DCT blocks on a variety of MPEG compressed videos containing more than 2,300 I-frames.
机译:我们提出一种在JPEG压缩图像和MPEG压缩视频的I帧中自动定位字幕的方法。字幕文本区域使用其独特的纹理特征从背景图像中分割出来。与先前发布的在提取文本区域之前对视频序列完全解压缩的方法不同,此方法使用在DCT域中编码的强度变化信息直接在DCT压缩域中定位候选字幕文本区域。因此,仅需要非常少量的解码。所提出的算法需要大约0.006秒来处理240 / spl次/ 350图像,并且实现了99.17%的查全率,同时在包含2300多个I帧的各种MPEG压缩视频上错误地接受了约1.87%的非文本DCT块。

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