CNN形状分割对MPEG-4形状比特率的影响

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353) Pub Date : 2002-08-07 DOI:10.1109/ISCAS.2002.1010515

L. Koskinen, A. Paasio, M. Laiho, K. Halonen

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引用次数: 3

摘要

模拟了细胞非线性网络(CNN)形状分割算法对基于上下文的算法编码器形状比特率的影响。此外，还模拟了形状边界块和不透明块运动矢量以及形状运动矢量和纹理运动矢量的相关性。研究发现，随着基于内容的MPEG-4编码，CNN算法的中间结果可以用于降低编码器的功耗。

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Effect of CNN shape segmentation on MPEG-4 shape bit-rate

The effect of the cellular nonlinear network (CNN) shape segmentation algorithm on the shape bit-rate of a context-based arithmetic encoder has been simulated. Also, the correlation of shape boundary block and opaque block motion vectors and shape motion vectors and texture motion vectors has been simulated. It is found that, along with content-based MPEG-4 encoding, the intermediate results of the CNN algorithm can be used for power consumption reduction in the encoder.

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2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)

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