20-06-2014, 12:40 PM
DESIGN OF AN ERROR DETECTION AND DATA RECOVERY ARCHITECTURE FOR MOTION ESTIMATION TESTING APPLICATIONS
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ABSTRACT
Advances in semiconductors, digital signal processing, and communication technologies have made multimedia applications more flexible and reliable. A good example is the H.264 video standard, also known as MPEG-4 Part 10 Advanced Video Coding, which is widely regarded as the next generation video compression standard 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, a ME in a video coder is the critical role so testing such a module is of priority concern. Additionally, the visual quality and peak signal-to-noise ratio (PSNR) at a given bit rate are influenced if an error occurred in ME process. In the advance of VLSI technologies facilitate the integration of a large number of PEs of a ME into a chip, the logic-per-pin ratio is subsequently increased, thus decreasing significantly the efficiency of logic testing on the chip.
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.
[attachment=65101]
ABSTRACT
Advances in semiconductors, digital signal processing, and communication technologies have made multimedia applications more flexible and reliable. A good example is the H.264 video standard, also known as MPEG-4 Part 10 Advanced Video Coding, which is widely regarded as the next generation video compression standard 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, a ME in a video coder is the critical role so testing such a module is of priority concern. Additionally, the visual quality and peak signal-to-noise ratio (PSNR) at a given bit rate are influenced if an error occurred in ME process. In the advance of VLSI technologies facilitate the integration of a large number of PEs of a ME into a chip, the logic-per-pin ratio is subsequently increased, thus decreasing significantly the efficiency of logic testing on the chip.
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.