A Two-Stage Approach for Robust HEVC Coding and Streaming

Carreira, J.; Assunção, Pedro; Faria, Sérgio M. M. de; Ekmekcioǧlu, Erhan; Kondoz, A.M.

doi:10.1109/tcsvt.2017.2691471

Cited by 11 publications

(13 citation statements)

References 43 publications

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“…Different solutions for the problem of spatial and temporal dependencies have been proposed through optimisation, based on the estimated decoded distortion [19]- [21], or by introducing intra-coded CTUs as refresh points based on channel feedback [22]. Still at the encoder side, to reduce mismatched predictions at the decoder, data partitioning was used in [23], dual frame inter-prediction in [24], [25] and reduction of motion vector (MV) dependencies in [26], [27]. Alternatively to increase error resilience, redundant pictures were used in [28], [29] while the use of multiple redundant streams was proposed in [30].…”

Section: Related Wordmentioning

confidence: 99%

“…This is accomplished by selecting at the encoder, among several EC algorithms, the one that yields the lowest reconstruction distortion at the decoder and also minimises the R-D cost considering the necessary signalling rate. In contrast with previous works [24] that addressed the error resilience problem by optimising the coding dependencies, the approach followed in this work considers both EC performance and the rate required for signalling the best EC mode to the decoder. Thus, the proposed approach outperforms similar previous methods [20], [33] by selecting the best error concealment method without affecting the encoder optimisation.…”

Section: Related Wordmentioning

confidence: 99%

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Error Concealment-Aware Encoding for Robust Video Transmission

Carreira

Assunção

Faria

et al. 2019

IEEE Trans. on Broadcast.

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In this paper an error concealment-aware encoding scheme is proposed to improve the quality of decoded video in broadcast environments prone to transmission errors and data loss. The proposed scheme is based on a scalable coding approach where the best error concealment (EC) methods to be used at the decoder are optimally determined at the encoder and signalled to the decoder through SEI messages. Such optimal EC modes are found by simulating transmission losses followed by a lagrangian optimisation of the signalling rate -EC distortion cost. A generalised saliency-weighted distortion is used and the residue between coded frames and their EC substitutes is encoded using a rate-controlled enhancement layer. When data loss occurs the decoder uses the signalling information is used at the decoder, in case of data loss, to improve the reconstruction quality. The simulation results show that the proposed method achieves consistent quality gains in comparison with other reference methods and previous works. Using only the EC mode signalling, i.e., without any residue transmitted in the enhancement layer, an average PSNR gain up to 2.95 dB is achieved, while using the full EC-aware scheme, i.e., including residue encoded in the enhancement layer, the proposed scheme outperforms other comparable methods, with PSNR gain up to 3.79 dB.Index Terms-video broadcasting, error concealment-aware coding, robust video coding.

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Section: Related Wordmentioning

confidence: 99%

Section: Related Wordmentioning

confidence: 99%

Error Concealment-Aware Encoding for Robust Video Transmission

Carreira

Assunção

Faria

et al. 2019

IEEE Trans. on Broadcast.

Self Cite

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“…More recently Carreira et. al in [16] proposed an approach to preserve the motion vectors in an HEVC coded video, again without considering the impact from the pixel errors in the reference frames. Even though the method is fairly simple, it affects severe performance degradation during the transmission over relatively high packet error rate channels as depicted in the results section in this paper.…”

Section: Related Workmentioning

confidence: 99%

“…In a similar fashion to the clipped squared error components in (8), from (37) in Appendix A, the clipped term of the difference error in (12) can be simplified further using the assumption in (16). As a result,…”

Section: Channel Distortion Due To Clipped Pixelsmentioning

confidence: 99%

“…The proposed distortion estimation algorithm and RDO algorithms are implemented in HM16.2 HEVC reference software [21]. Additionally three state-of-the-art error resilience and distortion estimation algorithms ( [16], [3] and [5]) are also implemented within the same simulation environment. Video sequences with different texture characteristics, motion characteristics and spatial resolutions are tested during the performance evaluation as described here.…”

Section: Simulation Environmentmentioning

confidence: 99%

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End User Video Quality Prediction and Coding Parameters Selection at the Encoder for Robust HEVC Video Transmission

Kulupana

Talagala

Arachchi

et al. 2019

IEEE Trans. Circuits Syst. Video Technol.

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Along with the rapid increase in the availability for high quality video formats such as HD (High Definition), UHD (Ultra HD) and HDR (High Dynamic Range), a huge demand for data rates during their transmission has become inevitable. Consequently, the role of video compression techniques has become crucially important in the process of mitigating the data rate requirements. Even though the latest video codec HEVC (High Efficiency Video Coding) has succeeded in significantly reducing the data rate compared to its immediate predecessor H.264/AVC (Advanced Video Coding), the HEVC coded videos in the meantime have become even more vulnerable to network impairments. Therefore, it is equally important to assess the consumers' perceived quality degradation prior to transmitting HEVC coded videos over an error prone network, and to include error resilient features so as to minimize the adverse effects those impairments. To this end, this paper proposes a probabilistic model which accurately predicts the overall distortion of the decoded video at the encoder followed by an accurate QP-λ relationship which can be used in the RDO (Rate Distortion Optimization) process. During the derivation process of the probabilistic model, the impacts from the motion vectors, the pixels in the reference frames and the clipping operations are accounted and consequently the model is capable of minimizing the prediction error as low as 3.11% whereas the state-of-theart methods can't reach below 20.08% under identical conditions. Furthermore, the enhanced RDO process has resulted in 21.41%-43.59% improvement in the BD-rate compared to the state-ofthe-art error resilient algorithms.

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Reference picture selection scheme for robust HEVC video transmission using compressed domain saliency map

Wang

Peng

2023

J Real-Time Image Proc

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A Two-Stage Approach for Robust HEVC Coding and Streaming

Cited by 11 publications

References 43 publications

Error Concealment-Aware Encoding for Robust Video Transmission

Error Concealment-Aware Encoding for Robust Video Transmission

End User Video Quality Prediction and Coding Parameters Selection at the Encoder for Robust HEVC Video Transmission

Reference picture selection scheme for robust HEVC video transmission using compressed domain saliency map

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