Error concealment using refined boundary matching algorithm

Chen, T.; Zhang, X.; Shi, Yue

doi:10.1109/itre.2003.1270571

Cited by 42 publications

(21 citation statements)

References 12 publications

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“…Temporal correlation is often utilized in error concealment by searching an optimal motion vector (MV) for an EMB. Usually, it can be carried out by MV interpolation [2,10,12] and boundary matchingbased MV searching techniques [9,11,[13][14][15].…”

Section: Brief Overview Of the Ec Techniquesmentioning

confidence: 99%

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An effective GM/LM-based video error concealment

Qian

Liu

2010

SIViP

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Error concealment (EC) techniques are often utilized at decoder side to improve reconstructed videos, in case of some information is lost during transmission on a wireless or band-width limited communication channel. In this paper, a global motion/local motion (GM/LM)-based error concealment method is proposed. First, the correct-macro-blocks (CMBs) are classified into global motion compensated MBs and local motion compensated MBs adaptively. Then, an erroneous MB (EMB) is classified into one of the three types: global motion MB (GMB), local motion MB (LMB), and global/local overlapping MB (GLMB) according to the MB type information in its neighbors. For the EMB with its type, GMB is recovered using the global motion vector (GMV). The EMB with its type LMB is recovered using the average motion vector information. And for the MB with its type GLMB, a recursive boundary matching strategy is utilized to search an optimal recovering motion vector. Experimental results show the effectiveness of the proposed GM/LM-based error concealment method.

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Section: Brief Overview Of the Ec Techniquesmentioning

confidence: 99%

“…And for the corrupted MBs located in the GM/LM overlapped regions, more accurate boundaries need to be searched using the advanced boundary matching criteria [9][10][11][12][13][14][15]. The detail diagram of the proposed GM/LM-based EC method is shown in Fig.…”

Section: The Proposed Gm/lm-based Error Concealment Approachmentioning

confidence: 99%

An effective GM/LM-based video error concealment

Qian

Liu

2010

SIViP

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“…The Spatial error concealment is adopted in recovering the error MBs of the frames located at shot boundaries, where no temporal information is available. Temporal correlation between adjacent frames are often used in error concealment using motion vector (MV) information obtained by MV interpolation [9] or boundary based matching techniques [8], [10].…”

Section: Brief Review For Ec Thechniquesmentioning

confidence: 99%

GM/LM Based Error Concealment for MPEG-4 Video Transmission over High Lossy and Noisy Networks

Qian

Liu

Wang

2008

2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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Error concealment (EC) techniques are often adopted at the decoder side to improve the reconstructed video quality, in case of some information is lost during transmission on a bandwidth limited wired networks or wireless networks with error-prone channels. In this paper, a global motion/local motion (GM/LM) based error concealment technique is proposed for transporting MPEG-4 advanced simple profile (ASP) coded video over high lossy and noisy networks. Different from the conversional error concealment methods, which make full use of the temporal spatial information to recover the error macro-blocks, the proposed GM/LM based method can efficiently improve the reconstructed video quality by using the redundant information which sent at encoder side. The redundant information consists of the global motion parameters and global motion compensation/local motion compensation (GMC/LMC) map information for each macro-block (MB) of P-frames. Comparison results with different error concealment methods on different video sequences show the effectiveness of the proposed GM/LM based error concealment method

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“…Low pass filtering techniques can be applied subsequently to reduce the blocking artifacts in the recovered MB. Alternatively, Chen et al [4] proposed a hierarchical Refined Block Matching Algorithm (RBMA) framework, in which the block size can be reduced if the boundary matching differences exceed a predefined value.…”

Section: Introductionmentioning

confidence: 99%