A temporal error concealment method for H.264/AVC using motion vector recovery

Wu, Jun; Liu, Xingang; Yoo, Kook-Yeol

doi:10.1109/tce.2008.4711249

Cited by 43 publications

(5 citation statements)

References 4 publications

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“…The loss of video packets often results in the loss of slice-unit information, which in turn results in corruption of visual information along the macro block (MB) and slice edges. With the general error concealment method [20], the decoder replaces the lost packets by using the corresponding temporal MB from the previous frame. Therefore, visible discontinuity results when the MB data from regions with considerable motion between the consecutive frames is lost.…”

Section: Jitter/jerkiness Effect Detectionmentioning

confidence: 99%

Hybrid No-Reference Video Quality Assessment Focusing on Codec Effects

Liu¹,

Chen²,

Tang³

et al. 2011

KSII TIIS

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Currently, the development of multimedia communication has progressed so rapidly that the video program service has become a requirement for ordinary customers. The quality of experience (QoE) for the visual signal is of the fundamental importance for numerous image and video processing applications, where the goal of video quality assessment (VQA) is to automatically measure the quality of the visual signal in agreement with the human judgment of the video quality. Considering the codec effect to the video quality, in this paper an efficient non-reference (NR) VQA algorithm is proposed which estimates the video quality (VQ) only by utilizing the distorted video signal at the destination. The VQA feature vectors (FVs) which have high relationships with the subjective quality of the distorted video are investigated, and a hybrid NR VQA (HNRVQA) function is established by considering the multiple FVs. The simulation results, testing on the SDTV programming provided by VCEG Phase I, show that the proposed algorithm can represent the VQ accurately, and it can be used to replace the subjective VQA to measure the quality of the video signal automatically at the destinations.

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Section: Jitter/jerkiness Effect Detectionmentioning

confidence: 99%

Hybrid No-Reference Video Quality Assessment Focusing on Codec Effects

Liu¹,

Chen²,

Tang³

et al. 2011

KSII TIIS

Self Cite

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“…The algorithm recovering lost slices in video encoded with the FMO tool, based on the edge-directed error concealment, is presented in [16]. The FMO tool is also used in the algorithm presented in [17] to recover missing motion vectors. Many error concealment techniques utilize spatial and temporal correlation in the video sequences [18]- [20].…”

Section: Error Resilience Tools In H264/avcmentioning

confidence: 99%

Video Streaming Framework

Buchowicz,

Galiński

2011

JTIT

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“…• spatial error concealment methods [3]- [6], which use the available information in the current frame to reconstruct the missing video areas by interpolating and predicting the corrupted video content, and • temporal concealment methods [7]- [10], which propose a concealment of the video chunks, and leverage temporally neighboring frames to recover video content. As there is a temporal correlation in natural video content, the motion vector from the missing part of the frame can be predicted from previous frames.…”

Section: Introductionmentioning

confidence: 99%