Error-resilient video coding of H.264/AVC based on network-adaptive intra refresh and reference selection refresh

Zhou, Yiran

doi:10.1117/1.3467462

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…The finding of this research is consistent with findings of past studies [3]- [6]- [7]- [9], which indicates that when an error occurs in one view of MVC, this error propagates in time and to the other views causing significant perceptual quality degradation in the decoded videos. It was confirmed that errors propagates due to the temporal/inter-view prediction structure utilized by the MVC scheme.…”

Section: Test Resultssupporting

confidence: 92%

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Untitled

2014

IJCSEA

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Section: Test Resultssupporting

confidence: 92%

“…However, this technique has a serious limitation as it results in a massive increase in data rate and hence this defeats the objective of compression. It also introduces a vast data which leads to serious errorfree quality degradation resulting from coarse quantisation losses [6] [7].…”

Section: Intra Macroblock Refresh Schemementioning

confidence: 99%

Untitled

2014

IJCSEA

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“…By dividing the errors according to the possibility of loss, the overall end-to-end distortion of the current MB can be decomposed into the source distortion, the EC distortion, and the potential error propagation distortion [18,24,17,25]:…”

Section: Fault Tolerant Mechanism Analysismentioning

confidence: 99%

“…Then β i can be calculated using (24), (25), and (29). For the estimation of (28), the D omcp,I and Q are assumed to be similar from the remaining frames.…”

Section: Rate-distortion Optimization Of Reference Frame Selectionmentioning

confidence: 99%

“…C is initially set as 11, and updated each frame using the data of the encoded frames, according to the statistical similarity between the successive primary and redundant frames. For D r and D red_r , the important factors are the percentage of Intra MB and the reference picture [1,24]. The potential error propagation distortion should take the interpolation and filtering procedure into consideration as…”

Section: Frame Level Rate-distortion Analysismentioning

confidence: 99%

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Error resilience video coding parameters and mechanisms selection with End-to-End rate-distortion analysis at frame level

Chen

2014

Multimed Tools Appl

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To improve the quality of video transmission, a fast error resilience coding method based on frame level rate-distortion analysis is proposed. To constrain the accumulated error propagation distortion and error concealment distortion simultaneously, reference frame selection and intra/inter mode decision are jointly used with redundant pictures. An adaptive multiple redundant picture (AMRP) coding mechanism is used for redundant picture coding with the adaptively estimated number of redundant pictures and encoding parameter for each specific redundant picture. The encoding parameters of different frames are adjusted based on the distortion propagation. We propose a statistical model for efficiently estimating the distortion and rate of the primary and the redundant picture. The total distortion and rate of the primary and the redundant picture are then formulated as a function of the quantization parameter, the temporal prediction distance, and the error resilient configuration. Lastly, the end-to-end rate-distortion optimized selection of the encoding parameters and coding structure is efficiently performed considering error propagation. Experimental results demonstrate that the proposed algorithm exhibits significant performance gains over the state-of-the-art errorresilient encoding methods.

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Content based error resilience coding using redundant coding, reference frame modification, and mode decision

Jiang

Tian

et al. 2014

J. Cent. South Univ.

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Error-resilient video coding of H.264/AVC based on network-adaptive intra refresh and reference selection refresh

Cited by 5 publications

References 17 publications

Untitled

Untitled

Error resilience video coding parameters and mechanisms selection with End-to-End rate-distortion analysis at frame level

Content based error resilience coding using redundant coding, reference frame modification, and mode decision

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