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Design of an Error Detection and Data Recovery Architecture for Motion Estimation Testing Applications

机译:用于运动估计测试应用程序的错误检测和数据恢复体系结构的设计

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摘要

Given the critical role of motion estimation (ME) in a video coder, testing such a module is of priority concern. While focusing on the testing of ME in a video coding system, this work presents an error detection and data recovery (EDDR) design, based on the residue-and-quotient (RQ) code, to embed into ME for video coding testing applications. An error in processing elements (PEs), i.e. key components of a ME, can be detected and recovered effectively by using the proposed EDDR design. Experimental results indicate that the proposed EDDR design for ME testing can detect errors and recover data with an acceptable area overhead and timing penalty. Importantly, the proposed EDDR design performs satisfactorily in terms of throughput and reliability for ME testing applications.
机译:考虑到运动估计(ME)在视频编码器中的关键作用,因此优先考虑测试此类模块。在着重于视频编码系统中ME的测试的同时,这项工作提出了一种基于残数和商(RQ)代码的错误检测和数据恢复(EDDR)设计,该设计将嵌入到ME中以用于视频编码测试应用。通过使用建议的EDDR设计,可以有效地检测和恢复处理元素(PE)中的错误,即ME的关键组件。实验结果表明,提出的用于ME测试的EDDR设计可以检测错误并以可接受的面积开销和时序损失来恢复数据。重要的是,建议的EDDR设计在ME测试应用的吞吐量和可靠性方面表现令人满意。

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