• Using this method, it is not necessary to fully decompress MPEG video sequence. Both the efficiency and detecting effect is improved dramatically.

    实验结果表明,本文算法只需对压缩视频流进行半解码,提高了检测效率,改善了检测效果

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  • The result of test sequence proves that the software has achieved high compression of MPEG-4 video image and satisfactory subjective image compression quality.

    采用测试序列进行验证结果证明软件实现MPEG - 4视频图像压缩较满意主观图像压缩质量。

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  • Experiment results show that the algorithm can preferably segment moving foreground and background in video sequence and it fits for MPEG-4coding standard, which is content-based.

    实验结果表明算法能够较好地视频序列中分割运动前景背景,比较适合于在基于内容的视频编码标准MPEG - 4中使用。

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  • According to the MPEG-4 verification model, video sequence must be segmented into semantic video objects. Their motion, shape and texture information are coded respectively.

    按照MPEG - 4的校验模型视频序列必须分割具有语义意义的视频对象,然后对运动形状纹理分别进行编码。

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  • In the framework of the MPEG 4 coding system, the automatic or semiautomatic video sequence segmentation plays a key role in supporting the features of content based coding.

    MPEG -4编码系统框架中,为支持基于内容编码性能视频自动半自动分割成为关键技术之一。

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  • In the framework of the MPEG 4 coding system, the automatic or semiautomatic video sequence segmentation plays a key role in supporting the features of content based coding.

    MPEG -4编码系统框架中,为支持基于内容编码性能视频自动半自动分割成为关键技术之一。

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