2010 Data Compression Conference 2010
DOI: 10.1109/dcc.2010.100
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Auto Regressive Model and Weighted Least Squares Based Packet Video Error Concealment

Abstract: In this paper, auto regressive (AR)

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Cited by 8 publications
(2 citation statements)
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“…The basic idea behind EC is to predict the missing pixels by using the correctly received ones in the current frame or adjacent frames based on the spatial or temporal correlations. According to which kind of correlation is utilized, EC methods can be classified into three categories: spatial EC (SEC) [2][3][4][5][6][7][8][9][10][11][12][13][14][15], temporal EC (TEC) [16][17][18][19][20][21][22], or spatial-temporal EC (STEC) [23][24][25][26]. In the case that the neighbor frames are not available, the SEC methods only use the information extracted from the neighboring pixels of the missing ones in the current frame.…”
Section: Introductionmentioning
confidence: 99%
“…The basic idea behind EC is to predict the missing pixels by using the correctly received ones in the current frame or adjacent frames based on the spatial or temporal correlations. According to which kind of correlation is utilized, EC methods can be classified into three categories: spatial EC (SEC) [2][3][4][5][6][7][8][9][10][11][12][13][14][15], temporal EC (TEC) [16][17][18][19][20][21][22], or spatial-temporal EC (STEC) [23][24][25][26]. In the case that the neighbor frames are not available, the SEC methods only use the information extracted from the neighboring pixels of the missing ones in the current frame.…”
Section: Introductionmentioning
confidence: 99%
“…Since many existing video coding standards are block-based, errors incurred in coded bitstream are likely to damage a group of blocks, which will degrade the video quality. Without modification of the encoder, Error Concealment (EC) which is performed at the decoder side and attempts to conceal the missing data, has been widely investigated [1][2][3][4][5][6][7][8][9][10][11] . Generally, the EC methods can be classified by spatial and temporal EC.…”
Section: Introductionmentioning
confidence: 99%