Efficient Coding for Video Including Text Using Image Generation
Efficient Coding for Video Including Text Using Image Generation
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DOI：
10.2197/ipsjjip.24.330
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Yosuke Nozue;Tomo Miyazaki;Yoshihiro Sugaya;S. Omachi
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文献类型：
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作者：
Yosuke Nozue;Tomo Miyazaki;Yoshihiro Sugaya;S. Omachi
在低比特率下进行有损压缩的视频中，文本容易变质，导致文本模糊，可读性降低。在本文中，我们提出了一种新的图像编码方法，在非常低的比特率下保持视频中文本的可读性。在编码过程中，我们估计文本的每个字符的参数。然后，生成一个没有文本的图像并进行压缩。在解码过程中，我们从没有文本的图像和由估计参数生成的字符图像中重建带有文本的视频序列。实验结果表明，在很低的比特率下，该方法在可读性方面是有效的。
Text in video compressed by lossy compression at a low bitrate will easily be deteriorated, resulting in blurred text and a lower readability. In this paper, we propose a novel image coding method to preserve the readability of text in the video at a very low bitrate. During the encoding process, we estimate the parameters for each character of the text. Then, an image without text is generated and compressed. During the decoding process, we reconstruct video sequences with text from images without text and character images generated by the estimated parameters. The experimental results show the effectiveness of the proposed method in terms of the readability at a very low bitrate.