A Memory Energy Consumption Analysis of Motion Estimation Algorithms using Data Reuse in Video Coding Systems

Author(s):  
Lívia Amaral ◽  
Dieison Silveira ◽  
Guilherme Povala ◽  
Luciano Agostini ◽  
Marcelo Porto ◽  
...  
Author(s):  
PARSHA SRIKANTH ◽  
SD.RAZIYA SULTHANA

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.


Author(s):  
V.V.. S.V.S RAMACHANDRAM ◽  
DANIEL N. FINNEY

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.


Author(s):  
Livia Amaral ◽  
Dieison Silveira ◽  
Guilherme Povala ◽  
Marcelo Porto ◽  
Luciano Agostini ◽  
...  

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