In this paper, a novel weighted boundarymatching error concealment schema for HEVC is proposed, which is based on the CU depths and PU partitions in reference frame. Firstly, the information of CU depths in reference...
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ISBN:
(纸本)9781479970612
In this paper, a novel weighted boundarymatching error concealment schema for HEVC is proposed, which is based on the CU depths and PU partitions in reference frame. Firstly, the information of CU depths in reference frames is used for lost slices. For each LCU in a lost slice, the LCUs surrounding to the co-located LCU are used to calculate summed CU-depth weight, which is used to determine the conceal order of each CU. Then, the co-located partition decision from the reference frame is adopted for PUs in each lost CU. The sequence of PUs to conceal is sorted based on the texture randomness index weight and the PU with the largest weight will be concealed next. Finally, the best estimated motion vector for the lost PU is selected for concealment. The experimental results show that our method achieves higher PSNR gains and has a better visual quality than the state-of-the-art methods.
When audio-video is in the process of wireless transmission, it is prone to losing packets. As a solution, this paper presents an adaptive spatial-temporal error concealment scheme based on H.264/AVC. It can adaptivel...
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ISBN:
(数字)9789811007408
ISBN:
(纸本)9789811007408;9789811007385
When audio-video is in the process of wireless transmission, it is prone to losing packets. As a solution, this paper presents an adaptive spatial-temporal error concealment scheme based on H.264/AVC. It can adaptively select the spatial error or temporal error concealment on the basis of change in the surroundings, in which temporal error finds the best motion vectors with the spatial-temporal boundarymatching, and spatial error concealment switches between the weighted average method and improved directional interpolation. Experimental results indicate good performance of the proposed scheme for error concealment.
An error concealment method for the transmission of 3D video in color/depth dual stream format (i.e., separately encoded) is proposed. We consider frame losses of color or depth along error-prone channels. Based on mo...
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An error concealment method for the transmission of 3D video in color/depth dual stream format (i.e., separately encoded) is proposed. We consider frame losses of color or depth along error-prone channels. Based on motion vector extrapolation from previous decoded frames, lost frames can be reconstructed. Specifically, the received information of one kind (color or depth) is intensively used when recovering a lost frame of the other kind. Our contributions come from classification of blocks into different kinds for different processing, joint color/depth matching, and shape-adaptive motion compensation. According to experiments, our proposed method, against traditional MV extrapolation (for color) and MV sharing (for depth) schemes, has shown distinctive gains in both color and depth. Our algorithm is effective in retaining integrity and smoothness of object boundaries, which is important to view synthesis for 3D display. (C) 2015 Elsevier Inc. All rights reserved.
We propose a weighted boundarymatching error concealment method for HEVC. It uses block partition decisions to improve a common block matchingalgorithm that finds blocks with the best matched boundaries from the pre...
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ISBN:
(纸本)9781479982974
We propose a weighted boundarymatching error concealment method for HEVC. It uses block partition decisions to improve a common block matchingalgorithm that finds blocks with the best matched boundaries from the previous frame to conceal the currently corrupted blocks. The block partition decisions from the co-located block of the corrupted one are exploited. For each partition, a summed boundary weight is computed;the one with the highest weight is chosen to be concealed next. Experimental results show the proposed method performs better than conventional error concealment methods objectively and subjectively.
This paper proposes an error concealment technique for video transmission, focusing on motion vector (MV) recovery for both inter-and intra-coded frames, to improve video quality at decoder when video bit stream data ...
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This paper proposes an error concealment technique for video transmission, focusing on motion vector (MV) recovery for both inter-and intra-coded frames, to improve video quality at decoder when video bit stream data incur transmission errors. The proposed algorithm considers slice (i.e., a row of macroblocks (MBs)) errors and uses DP (Dynamic Programming) optimization technique to estimate the lost MVs in a global manner, differing from the traditional boundary matching algorithm (BMA) and others that recover MVs independently for individual MBs in an erroneous slice. We also propose an iterative DP process based on 8 x 8 pixels blocks to resolve finer motions (for 8 x 8, 8 x 16, and 16 x 8 pixels blocks) that will aid in the enhancement of reconstruction quality. Experiment results show that our algorithm outperforms the well-known BMA by up to 7.28 dB and the DMVE and another prior work by Qian et al. by up to 1.0 dB at a packet loss rate of 15%. Subjective evaluation shows that our algorithm is especially promising in preserving line/curve features and motion details.
Multi-view video sequences are compressed using advanced high compression ratio tools called H.264/AVC multi-view coding (MVC). MVC is very sensitive to errors due to its structure as a result Error Concealment (EC) a...
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ISBN:
(纸本)9781467355667;9781467355650
Multi-view video sequences are compressed using advanced high compression ratio tools called H.264/AVC multi-view coding (MVC). MVC is very sensitive to errors due to its structure as a result Error Concealment (EC) algorithms are developed at the decoder to improve the quality of decoded MVC frames. In this paper efficient multi-view EC algorithms are proposed for intra and inter MBs exploiting the spatial, temporal and inter-view information of neighboring MBs. For Intra MBs, Spatial-Inter View (SIV) algorithm is proposed. For inter MBs, the proposed algorithm is adaptively changed according to the lost MB size. In addition, the algorithm dynamically candidates MBs according to the current used view. Then the inter 16x16 MBs are enhanced by a new method called weighted block motion and disparity concealment (WBMDC). The other inter MBs types are enhanced using a proposed method called The Overlapped Block Motion Compensation (OBMC). It is shown that the proposed algorithm leads to better subjective quality in addition higher PSNR values. With applying the proposed algorithms, the gain is improved by up to 12.84 dB and 1.1 dB comparing to no applying any EC algorithms and applying normal EC algorithm respectively at 22% Loss Rate (LR).
Purpose: The purpose of this paper is to solve the pack loss problem of video transmitted over error-prone channels. Pack loss generally affects the visual quality of reconstructed frames significantly. Consequently, ...
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This paper addresses an error concealment technique, focusing on motion vector (MV) recovery for inter-coded frames, to improve video quality at decoder when video bit stream data are incurred transmission errors. The...
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ISBN:
(纸本)9781424479948
This paper addresses an error concealment technique, focusing on motion vector (MV) recovery for inter-coded frames, to improve video quality at decoder when video bit stream data are incurred transmission errors. The proposed algorithm considers slice (i.e., a row of macroblocks (MBs)) errors and uses DP (Dynamic Programming) optimization technique to estimate the lost MVs in a combined manner, differing from the traditional boundary matching algorithm (BMA) which recovers MV independently for each erroneous MB. We also consider MV recovery for blocks of 8x8, 8x16, and 16x8 pixels (rather than 16x16 pixels MBs only) and apply an iterative DP process to refine the estimated results. Experimental results show that our algorithm outperforms the well-known BMA by up to 1.36 dB in PSNR and a newly published algorithm [8] by up to 0.56 dB at a pack loss rate of up to 15%. Subjective evaluation shows that our algorithm takes the advantages of moderate speed and accurate recovery of contiguous line/curve features in images.
Parts of compressed video streams may be lost or corrupted when being transmitted over bandwidth limited networks and wireless communication networks with error-prone channels. Error concealment (EC) techniques are of...
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Parts of compressed video streams may be lost or corrupted when being transmitted over bandwidth limited networks and wireless communication networks with error-prone channels. Error concealment (EC) techniques are often adopted at the decoder side to improve the quality of the reconstructed video. Under the conditions of a high rate of data packets that arrives at the decoder corrupted, it is likely that the incorrectly decoded macro-blocks (MBs) are concentrated in a connected region, where important spatial reference information is lost. The conventional EC methods usually carry out the block concealment following a lexicographic scan (from top to bottom and from left to right of the image), which would make the methods ineffective for the case that the corrupted blocks are grouped in a connected region. In this paper, a temporal error concealment method, adaptive error concealment order determination (AECOD), is proposed to recover connected corrupted regions. The processing order of an MB in a connected corrupted region is adaptively determined by analyzing the external boundary patterns of the MBs in its neighborhood. The performances, on several video sequences, of the proposed EC scheme have been compared with those obtained by using other error concealment methods reported in the literature. Experimental results show that the AECOD algorithm can improve the recovery performance with respect to the other considered EC methods.
Low-complexity error concealment techniques for missing macroblock (MB) recovery in mobile video delivery based on the boundarymatching principle is extensively studied and evaluated in this work. We first examine th...
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ISBN:
(纸本)9780819468444
Low-complexity error concealment techniques for missing macroblock (MB) recovery in mobile video delivery based on the boundarymatching principle is extensively studied and evaluated in this work. We first examine the boundary matching algorithm (BMA) and the outer boundary matching algorithm (OBMA) due to their excellent trade-off in complexity and visual quality. Their good performance is explained, and additional experiments are given to identify their strengths and weaknesses. Then, two more extensions of OBMA are presented. One is obtained by extending the search pattern for performance improvement at the cost of additional complexity. The other is based on the use of multiple overlapped outer boundary layers.
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