Error Concealment Method Based on Motion Vector Prediction Using Particle Filters

Video transmitted over unreliable environment, such as wireless channel or in generally any network with unreliable transport protocol, is facing the losses of video packets due to network congestion and different kind of noises. The problem is becoming more important using highly effective video co...

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Bibliographic Details
Main Authors: B. Hrusovsky, J. Mochnac, S. Marchevsky
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2011-09-01
Series:Radioengineering
Subjects:
Online Access:http://www.radioeng.cz/fulltexts/2011/11_03_692_702.pdf
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author B. Hrusovsky
J. Mochnac
S. Marchevsky
author_facet B. Hrusovsky
J. Mochnac
S. Marchevsky
author_sort B. Hrusovsky
collection DOAJ
description Video transmitted over unreliable environment, such as wireless channel or in generally any network with unreliable transport protocol, is facing the losses of video packets due to network congestion and different kind of noises. The problem is becoming more important using highly effective video codecs. Visual quality degradation could propagate into subsequent frames due to redundancy elimination in order to obtain high compression ratio. Since the video stream transmission in real time is limited by transmission channel delay, it is not possible to retransmit all faulty or lost packets. It is therefore inevitable to conceal these defects. To reduce the undesirable effects of information losses, the lost data is usually estimated from the received data, which is generally known as error concealment problem. This paper discusses packet loss modeling in order to simulate losses during video transmission, packet losses analysis and their impacts on the motion vectors losses.
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spelling doaj.art-33211be6bb234dd691ddb2a5c12383de2022-12-21T22:37:36ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122011-09-01203692702Error Concealment Method Based on Motion Vector Prediction Using Particle FiltersB. HrusovskyJ. MochnacS. MarchevskyVideo transmitted over unreliable environment, such as wireless channel or in generally any network with unreliable transport protocol, is facing the losses of video packets due to network congestion and different kind of noises. The problem is becoming more important using highly effective video codecs. Visual quality degradation could propagate into subsequent frames due to redundancy elimination in order to obtain high compression ratio. Since the video stream transmission in real time is limited by transmission channel delay, it is not possible to retransmit all faulty or lost packets. It is therefore inevitable to conceal these defects. To reduce the undesirable effects of information losses, the lost data is usually estimated from the received data, which is generally known as error concealment problem. This paper discusses packet loss modeling in order to simulate losses during video transmission, packet losses analysis and their impacts on the motion vectors losses.www.radioeng.cz/fulltexts/2011/11_03_692_702.pdfPacketlosserror concealmentparticle filter
spellingShingle B. Hrusovsky
J. Mochnac
S. Marchevsky
Error Concealment Method Based on Motion Vector Prediction Using Particle Filters
Radioengineering
Packet
loss
error concealment
particle filter
title Error Concealment Method Based on Motion Vector Prediction Using Particle Filters
title_full Error Concealment Method Based on Motion Vector Prediction Using Particle Filters
title_fullStr Error Concealment Method Based on Motion Vector Prediction Using Particle Filters
title_full_unstemmed Error Concealment Method Based on Motion Vector Prediction Using Particle Filters
title_short Error Concealment Method Based on Motion Vector Prediction Using Particle Filters
title_sort error concealment method based on motion vector prediction using particle filters
topic Packet
loss
error concealment
particle filter
url http://www.radioeng.cz/fulltexts/2011/11_03_692_702.pdf
work_keys_str_mv AT bhrusovsky errorconcealmentmethodbasedonmotionvectorpredictionusingparticlefilters
AT jmochnac errorconcealmentmethodbasedonmotionvectorpredictionusingparticlefilters
AT smarchevsky errorconcealmentmethodbasedonmotionvectorpredictionusingparticlefilters