A Novel Method for Joint Video by Using Meca

Abstract

The new Joint Video Team (JVT) video coding standard has garnered increased attention recently. Generally, motion estimation computing array (MECA) performs up to 50% of computations in the entire video coding system, and is typically considered the computationally most important part of video coding systems. For a commercial chip, a video coding system must introduce design for testability (DFT), especially in an MECA. The objective of DFT is to increase the ease with which a device can be tested to guarantee high system reliability. Among these techniques, BIST has an obvious advantage in that expensive test equipment is not needed and tests are low cost. Moreover, BIST can generate test simulations and analyze test responses without outside support, making tests and diagnoses of digital systems quick and effective. However, as the circuit complexity and density increases, the BIST approach must detect the presence of faults and specify their locations for subsequent repair. The extended techniques of BIST are built-in self-diagnosis and built-in self-re- pair (BISR). This work develops a built-in self-detection/correction (BISDC) architecture for motion estimation computing arrays (MECAs). Based on the error detection/correction concepts of biresidue codes, any single error in each processing element in an MECA can be effectively detected and corrected online using the proposed BISD and built-in self-correction circuits. Performance analysis and evaluation demonstrate that the proposed BISDC architecture performs well in error detection and correction with minor area overhead. Keywords: Data recovery, error detection, motion estimation, reliability, residue-and-quotient (RQ) code