Furthermore, a novel rate control scheme named Spatio-Temporal MAD prediction model is presented, and a more flexible non-texture prediction scheme is derived.

同时提出了一种时空结合的MAD预测模型和一种更加灵活的非纹理数据的预测方法。

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There are mainly three distinguishing features in our proposed algorithm:local direction-based prediction, extended context for micro texture and histogram initialization based on imaging apparatus.

该算法主要包括三个特色技术：基于纹线局部走向的分类预测、体现指纹微观纹理的扩展上下文以及基于成像仪器的分类熵编码器概率模型初始化。

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By adopting texture statistics for ray-space slice, initial search direction was established, and then multi-layer rectilinear direction search method was realized in inter-slice prediction.

在片间预测中，通过对光线空间片的纹理统计，确立初始的搜索方向，实现分层的直线方向搜索方法。

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