scholarly journals DESIGN OF AN ERROR DETECTION AND DATA RECOVERY ARCHITECTURE FOR MOTION ESTIMATION TESTING APPLICATIONS

2014 ◽  
pp. 225-229
Author(s):  
V. SWARNALATHA ◽  
K. SRINIVASA RAO
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Error Detection ◽  
Critical Role ◽  
Data Recovery ◽  
Coding System ◽  
Processing Elements

Motion estimation (ME) in a video coding system is the critical role, so 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 residue -and- quotient (RQ) code. An error in processing elements (PEs) can be detected and recovered effectively by using the proposed EDDR design. Importantly, the proposed EDDR design performs satisfactorily in terms of throughput and reliability for motion estimation (ME) testing applications.

scholarly journals DESIGN FOR TESTABILITY TECHNIQUES FOR VIDEO CODING SYSTEMS

2013 ◽  
pp. 276-281
Author(s):  
PARSHA SRIKANTH ◽  
SD.RAZIYA SULTHANA
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Error Detection ◽  
High Reliability ◽  
Data Recovery ◽  
Experimental Result ◽  
Coding System ◽  
Processing Elements ◽  
Estimation Algorithms ◽  
Coding Systems

Motion estimation algorithms are used in various video coding systems. 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-andquotient (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. Therefore, paper describes a novel testing scheme of motion estimation. The key part of this scheme is to offer high reliability for motion estimation architecture. The experimental result shows the design achieve 100% fault coverage. And, the main advantages of this scheme are minimal performance degradation, small cost of hardware overhead and the benefit of at speed testing.

scholarly journals IMPLEMENTATION OF ROBUST ARCHITECTURE FOR ERROR DETECTION AND DATA RECOVERY IN MOTION ESTIMATION ON FPGA

2013 ◽  
pp. 29-33
Author(s):  
V.V.. S.V.S RAMACHANDRAM ◽  
DANIEL N. FINNEY
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Video Compression ◽  
Error Detection ◽  
Video Data ◽  
Data Recovery ◽  
Concurrent Error Detection ◽  
Coding Systems ◽  
Wide Range ◽  
Total Data

Video compression is necessary in a wide range of applications to reduce the total data amount required for transmitting or storing video data. Among the coding systems, Motion Estimation is of priority concern in exploiting the temporal redundancy between successive frames, yet also the most time consuming aspect of coding. This paper presents an error detection and data recovery (EDDR) design, based on the residue-and quotient (RQ) code that is embed into ME for video coding testing applications. Based on the Concurrent Error Detection (CED) concept, this work develops a robust EDDR architecture based on the RQ code to detect errors and recovery data in PEs of a ME and, in doing so, further guarantee the excellent reliability for video coding applications. We synthesized this design using Xilinx tool.

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