The Experts below are selected from a list of 5031 Experts worldwide ranked by ideXlab platform

Markus Rupp - One of the best experts on this subject based on the ideXlab platform.

  • performance of watermarking as an Error Detection Mechanism for corrupted h 264 avc video sequences
    European Signal Processing Conference, 2009
    Co-Authors: Eva Rodriguez Rodriguez, Luca Superiori, Olivia Nemethova, Markus Rupp
    Abstract:

    In this work we investigate the performance of watermarking as an Error Detection method for H.264/AVC encoded videos. The efficiency of a previously proposed forced even watermarking is evaluated in a more realistic Error-prone transmission scenario. A less invasive watermarking scheme, the force odd watermarking, is proposed as alternative. In order to handle possible decoding desynchronization at the receiver, we implement a syntax check Error Detection Mechanism together with watermarking and evaluate its performance.

  • EUSIPCO - Performance of watermarking as an Error Detection Mechanism for corrupted H.264/AVC video sequences
    2009
    Co-Authors: Eva Rodriguez Rodriguez, Luca Superiori, Olivia Nemethova, Markus Rupp
    Abstract:

    In this work we investigate the performance of watermarking as an Error Detection method for H.264/AVC encoded videos. The efficiency of a previously proposed forced even watermarking is evaluated in a more realistic Error-prone transmission scenario. A less invasive watermarking scheme, the force odd watermarking, is proposed as alternative. In order to handle possible decoding desynchronization at the receiver, we implement a syntax check Error Detection Mechanism together with watermarking and evaluate its performance.

  • Robust Error Detection for H.264/AVC Using Relation Based Fragile Watermarking
    2006
    Co-Authors: Olivia Nemethova, Gonzalo Calvar Forte, Markus Rupp
    Abstract:

    In this paper a robust Mechanism for detecting er- rors in H.264/AVC video streams is proposed and evaluated in the context of transmission over mobile networks. The pro- posed algorithm utilizes fragile watermarking applied at mac- roblock level for the Detection of Errors in the decoded VLC stream. Watermarking based approaches are compared with a previously proposed alternative Error Detection Mechanism us- ing parity bits. Two watermarking schemes are investigated - forced even watermarking and a novel relation based wa- termarking. The obtained results show considerable improve- ment of the quality at the decoder for the proposed watermark- ing method, while preserving the data rate.

Carl J. Debono - One of the best experts on this subject based on the ideXlab platform.

  • a robust Error Detection Mechanism for h 264 avc coded video sequences based on support vector machines
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Reuben A. Farrugia, Carl J. Debono
    Abstract:

    Current trends in wireless communications provide fast and location-independent access to multimedia services. Due to its high compression efficiency, H.264/AVC is expected to become the dominant underlying technology in the delivery of future wireless video applications. The Error resilient Mechanisms adopted by this standard alleviate the problem of spatio-temporal propagation of visual artifacts caused by transmission Errors by dropping and concealing all macroblocks (MBs) contained within corrupted segments, including uncorrupted MBs. Concealing these uncorrupted MBs generally causes a reduction in quality of the reconstructed video sequence.

  • A Robust Error Detection Mechanism for H.264/AVC Coded Video Sequences Based on Support Vector Machines
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Reuben A. Farrugia, Carl J. Debono
    Abstract:

    Current trends in wireless communications provide fast and location-independent access to multimedia services. Due to its high compression efficiency, H.264/AVC is expected to become the dominant underlying technology in the delivery of future wireless video applications. The Error resilient Mechanisms adopted by this standard alleviate the problem of spatio-temporal propagation of visual artifacts caused by transmission Errors by dropping and concealing all macroblocks (MBs) contained within corrupted segments, including uncorrupted MBs. Concealing these uncorrupted MBs generally causes a reduction in quality of the reconstructed video sequence.

Zvia Breznitz - One of the best experts on this subject based on the ideXlab platform.

  • Error Detection Mechanism for Words and Sentences: A comparison between readers with dyslexia and skilled readers
    International Journal of Disability Development and Education, 2011
    Co-Authors: Tzipi Horowitz-kraus, Zvia Breznitz
    Abstract:

    The activity level of the Error monitoring system for processing isolated versus contextual words in Hebrew was studied in adults with dyslexia and skilled readers while committing reading Errors. Behavioural measures and event‐related potentials were measured during a lexical decision task using words in a list and sentences. Error‐related negativity (ERN/Ne) potentials following reading Errors and correct‐related negativity for correct responses were detected in all conditions and participants. However, ERN/Ne amplitudes were smaller for those with dyslexia than for the skilled readers, and for reading sentences than for words in a list. These results support previous findings of lower activation of the Error Detection Mechanism among dyslexics, and point to different activity levels for words and sentences. A theory on the underlying factors of dyslexia is proposed.

  • Can the Error Detection Mechanism Benefit from Training the Working Memory? A Comparison between Dyslexics and Controls — An ERP Study
    PloS one, 2009
    Co-Authors: Tzipi Horowitz Kraus, Zvia Breznitz
    Abstract:

    Background: Based on the relationship between working memory and Error Detection, we investigated the capacity of adult dyslexic readers’ working memory to change as a result of training, and the impact of training on the Error Detection Mechanism. Methodology: 27 dyslexics and 34 controls, all university students, participated in the study. ERP methodology and behavioral measures were employed prior to, immediately after, and 6 months after training. The CogniFit Personal Coach Program, which consists of 24 sessions of direct training of working memory skills, was used. Findings: Both groups of readers gained from the training program but the dyslexic readers gained significantly more. In the dyslexic group, digit span increased from 9.8463.15 to 10.7963.03. Working memory training significantly increased the number of words per minute read correctly by 14.73%. Adult brain activity changed as a result of training, evidenced by an increase in both working memory capacity and the amplitude of the Error-related Negativity (ERN) component (24.71%). When ERN amplitudes increased, the percentage of Errors on the Sternberg tests decreased. Conclusions: We suggest that by expanding the working memory capacity, larger units of information are retained in the system, enabling more effective Error Detection. The crucial functioning of the central-executive as a sub-component of the working memory is also discussed.

  • An Error-Detection Mechanism in reading among dyslexic and regular readers--an ERP study.
    Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2008
    Co-Authors: Tzipi Horowitz-kraus, Zvia Breznitz
    Abstract:

    Abstract Objective As a continuation of a previous study which demonstrated the existence of the Error-monitoring Mechanism among regular readers, the current study attempts to characterize the Error Detection negativity (ERN/Ne) and the correct-related negativity (CRN) among dyslexics. More specifically, given the lexical and semantic processes involved in reading, the study attempts to reveal the reasons for differences between regular and dyslexic readers with respect to the ERN/Ne and N400 amplitudes and latencies. Methods A visual lexical decision paradigm and event-related potential (ERP) analysis were used. Results Dyslexics exhibited lower ERN/Ne amplitudes and later latencies in Error responses as compared to correct responses. A smaller difference between the ERN/Ne and CRN amplitudes among dyslexics was observed. In addition, a later N400 component was elicited for Error responses in both groups of readers. Conclusion A different Error-Detection activity level among dyslexic readers was found in reading. Significance These results emphasize the differences in brain activity among regular and dyslexic readers. Our results point at a possible model of brain processing of incorrect reading among dyslexics. This model can be used to explain the reasons for repeated reading Errors among adult compensated dyslexics despite extensive exposure to print over the years.

Philippe Roche - One of the best experts on this subject based on the ideXlab platform.

  • verification of soft Error Detection Mechanism through fault injection on hardware emulation platform
    Dependable Systems and Networks, 2010
    Co-Authors: Oscar Bailan, Umberto Rossi, Anne Wantens, Jeanmarc Daveau, Salvatore Nappi, Philippe Roche
    Abstract:

    In this paper we describe one of the verification activities performed on a dual core 32-bit System-on-Chip designed for Automotive Safety applications and the consequent implementation of a methodology to verify the functionality of one of the safety Mechanisms of the device. The Safety standards recommend the usage of fault-injection techniques to give evidence of the failure robustness of the electronic devices designed for Functional Safety. In this case we verified the robustness of the SoC processing subsystem to the Single Event Upset through the usage of some hardware emulation platforms where the device RTL was mapped, properly instrumented to allow the modification of Flip-Flop status during application runtime, thus modeling the SEUs effects. The main novelty of our work is therefore the definition of a methodology to verify the robustness of a SoC to SEUs; additionally we show that the same methodology can be used also to perform thorough measurements of the SER masking effect on a System on Chip.

  • DSN Workshops - Verification of soft Error Detection Mechanism through fault injection on hardware emulation platform
    2010 International Conference on Dependable Systems and Networks Workshops (DSN-W), 2010
    Co-Authors: Oscar Bailan, Umberto Rossi, Anne Wantens, Jeanmarc Daveau, Salvatore Nappi, Philippe Roche
    Abstract:

    In this paper we describe one of the verification activities performed on a dual core 32-bit System-on-Chip designed for Automotive Safety applications and the consequent implementation of a methodology to verify the functionality of one of the safety Mechanisms of the device. The Safety standards recommend the usage of fault-injection techniques to give evidence of the failure robustness of the electronic devices designed for Functional Safety. In this case we verified the robustness of the SoC processing subsystem to the Single Event Upset through the usage of some hardware emulation platforms where the device RTL was mapped, properly instrumented to allow the modification of Flip-Flop status during application runtime, thus modeling the SEUs effects. The main novelty of our work is therefore the definition of a methodology to verify the robustness of a SoC to SEUs; additionally we show that the same methodology can be used also to perform thorough measurements of the SER masking effect on a System on Chip.

Reuben A. Farrugia - One of the best experts on this subject based on the ideXlab platform.

  • a robust Error Detection Mechanism for h 264 avc coded video sequences based on support vector machines
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Reuben A. Farrugia, Carl J. Debono
    Abstract:

    Current trends in wireless communications provide fast and location-independent access to multimedia services. Due to its high compression efficiency, H.264/AVC is expected to become the dominant underlying technology in the delivery of future wireless video applications. The Error resilient Mechanisms adopted by this standard alleviate the problem of spatio-temporal propagation of visual artifacts caused by transmission Errors by dropping and concealing all macroblocks (MBs) contained within corrupted segments, including uncorrupted MBs. Concealing these uncorrupted MBs generally causes a reduction in quality of the reconstructed video sequence.

  • A Robust Error Detection Mechanism for H.264/AVC Coded Video Sequences Based on Support Vector Machines
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Reuben A. Farrugia, Carl J. Debono
    Abstract:

    Current trends in wireless communications provide fast and location-independent access to multimedia services. Due to its high compression efficiency, H.264/AVC is expected to become the dominant underlying technology in the delivery of future wireless video applications. The Error resilient Mechanisms adopted by this standard alleviate the problem of spatio-temporal propagation of visual artifacts caused by transmission Errors by dropping and concealing all macroblocks (MBs) contained within corrupted segments, including uncorrupted MBs. Concealing these uncorrupted MBs generally causes a reduction in quality of the reconstructed video sequence.