Built-in Self-Detection/Correction Architecture for Motion Estimation Computing Arrays

Hsu, Chun-Lung; Cheng, Chang-Hsin; Liu, Yu

doi:10.1109/tvlsi.2008.2009452

Cited by 11 publications

(2 citation statements)

References 10 publications

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“…In concurrent online BIST, testing is conducted simultaneously during normal functional operation. The functional circuitry is usually implemented with coding techniques [5].…”

Section: Introductionmentioning

confidence: 99%

Error Detection and Correction Architecture for Motion Estimation in video coding systems

Rukmani

Jagadeeswari

2013

2013 International Conference on Computer Communication and Informatics

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Motion Estimation (ME) is the process of determining the motion vectors that describe the transformation from one 2D image to other, usually from adjacent frames in a video sequence. The process of ME is the critical part of any video coding system as the video quality will be affected if an error has occurred in the ME. In order to test Motion Estimation in a video coding system an Error Detection and Correction Architecture (EDCA) is designed based on the Residue-and-Quotient (RQ) code. Multiple bit errors in the processing element (PE) i.e., key component of a ME, can be detected and the original data can be recovered effectively by using EDCA design. Experimental results indicate that the proposed design can detect multiple bit errors and effectively recover the data with reduced area. The area is reduced from 1665 to 345.

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“…In concurrent online BIST, testing is conducted simultaneously during normal functional operation. The functional circuitry is usually implemented with coding techniques [5].…”

Section: Introductionmentioning

confidence: 99%

Error Detection and Correction Architecture for Motion Estimation in video coding systems

Rukmani

Jagadeeswari

2013

2013 International Conference on Computer Communication and Informatics

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“…Their proposed structure is very similar to a version of duplication method. In [13] and [14], two built-in selfdetection/correction (BISDC) methods proposed to tolerate faults of Sum of Absolute Differences module (SAD) of motion estimation core.…”

Section: Introductionmentioning

confidence: 99%

A Low Power and Error Tolerant Structure for Motion Estimation Core in H. 264/AVC Standard

Sargolzaei¹

2013

IJCA

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Motion estimation is widely used for removing temporal data redundancy in many video coding systems. Motion estimation core is one of the biggest and the most complex cores in many of video coding standards. Nowadays, video systems are embedded into many of portable devices; hence, they need have a trade of between their power consumption and quality of output. Hardware failure is the most important reason of quality degradation in the RT level. In this paper, two RT level low power error tolerant methods are proposed for this important video compression core. The proposed methods can be used in conjunction with other higher or lower level error tolerant and power reduction methods that have been previously proposed for this component. Experimental results show that our methods have smaller area overhead, higher reliability, and lower power consumption than the existing methods for motion estimation. General TermsVLSI system design, Fault tolerant systems, Video coding cores. KeywordsMotion estimation core, error tolerant systems, low power design.

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H. 264 encoder using Gstreamer

Sundari

Bernatin

Somani

2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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To satisfy the requirements of high quality and low bit stream video for real time applications, video compression techniques are used. The most powerful video formats for the video codec are Video Coding Experts Group (VCEG) and ISO/IEC JTC1 Moving Picture Experts Group (MPEG). It is frequently used in internet streaming sources i.e. from media servers to end users. This paper focuses on streaming Video using Gstreamer. The video is captured using a web camera interfaced to PC, encoded using x264 and the video is streamed through Gstreamer and results a very good compression ratio.

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Built-in Self-Detection/Correction Architecture for Motion Estimation Computing Arrays

Cited by 11 publications

References 10 publications

Error Detection and Correction Architecture for Motion Estimation in video coding systems

Error Detection and Correction Architecture for Motion Estimation in video coding systems

A Low Power and Error Tolerant Structure for Motion Estimation Core in H. 264/AVC Standard

H. 264 encoder using Gstreamer

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