The shape encoding should not only assure efficiently coding for objects boundary but also provide the advantage permitted manipulating objects easily in thereceiver.
故需引入较复杂的运动模型；而形状编码不仅应该在不明显降低解码图象质量的前提下，实现对象形状的有效编码，而且需为将来的基于对象的可操作性提供便利。
参考来源 - 面向对象的低比特率活动图象压缩编码新算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Therefore, both the motion estimation module and the shape encoding module are worth further investigation in the framework of the object-oriented motion images encoding.
因此，面向对象编码中的运动估计模块与形状编码模块值得深入研究，当然，以上两个模块都建立在景物对象的快速及有效生成的基础上。
Each object is specified by three sets of parameters, namely, motion, shape as well as texture information. Among them, both motion estimation and shape encoding are particularly critical.
每一个对象由三个参数集表示，即运动、形状以及纹理信息，其中运动估计与形状编码为两个最重要的部分。
In this paper, a classification algorithm based on multi-threshold binary encoding for Description of Spectral Shape is introduced, and result of image experimentation is present.
本文提出一种基于光谱形状描述的多门限的二进制编码分类方法，并给出了图象实验的结果。
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