Paper Info
Title
Design of an Error Detection and Data Recovery Architecture for Motion Estimation Testing Applications
Abstract
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.
Year
DOI
Venue
2012
10.1109/TVLSI.2011.2109972
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Keywords
Field
DocType
residue-and-quotient (rq) code,residue codes,me testing,error detection,residue-and-quotient code,video coding testing application,critical role,motion estimation testing applications,data recovery,motion estimation,data recovery architecture,proposed eddr design,video coding,reliability,video coder,area overhead,video coding system,timing penalty,error detection and data recovery design,motion estimation testing application,me testing application,acceptable area overhead,pixel,computer architecture,mathematical model,integrated circuit,testing
Architecture,Computer science,Coding system,Real-time computing,Error detection and correction,Coding (social sciences),Electronic engineering,Pixel,Throughput,Motion estimation,Data recovery
Journal
Volume
Issue
ISSN
20
4
1063-8210
Citations 
PageRank 
References 
1
0.35
12
Authors
3
Name
Order
Citations
PageRank
Chang-Hsin Cheng193.13
Yu Liu230.72
Chun-Lung Hsu35914.53