Error resiliency transcoding and decoding solutions using distributed video coding techniques

Shanableh, Tamer; May, T.; Ishtiaq, Faisal

doi:10.1016/j.image.2008.05.005

Cited by 6 publications

(4 citation statements)

References 20 publications

(17 reference statements)

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“…In the literature, transcoding techniques can be divided into two categories: homogeneous transcoding and heterogeneous transcoding. Homogeneous transcoding refers to the conversion within the same format to meet a new functionality, such as different bit rates [9], different frame rates [10]- [12], different spatial resolutions [13], or even the insertion of new information such as watermarking [14] and error resilience layers [15], [16]. Heterogeneous transcoding refers to the bitstream conversion between different formats, and the HEVC to SCC transcoding belongs to this category.…”

Section: Introductionmentioning

confidence: 99%

Fast HEVC to SCC Transcoder by Early CU Partitioning Termination and Decision Tree-Based Flexible Mode Decision for Intra-Frame Coding

2019

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Screen content coding (SCC) was developed to enhance High Efficiency Video Coding (HEVC) for encoding screen content videos. However, HEVC has dominated the market for many years, and it leaves many legacy screen content videos encoded by HEVC. Therefore, it is desired that the legacy screen content videos are migrated from HEVC to SCC to improve the coding efficiency. This paper presents a fast transcoding algorithm by analyzing various features from four categories. They are the features from the HEVC decoder, static features, dynamic features, and spatial features. First, the coding unit (CU) depth level collected from the HEVC decoder is utilized to early terminate the CU partition in SCC. Second, a flexible encoding structure is proposed to make early mode decisions with the help of various features. On the one hand, high decision accuracy is achieved because mode decision is considered from different aspects by utilizing features from more than one category. On the other hand, high computational complexity is reduced because the flexible structure considers the decision of each mode separately. The experimental results show that the proposed algorithm provides 51.24% and 54.65% re-encoding time reduction with 1.32% and 1.25% negligible Bjøntegaard delta bitrate loss for YUV 4:2:0 and YUV 4:4:4 screen content sequences using all-intra configuration, respectively. INDEX TERMS Transcoding, screen content coding (SCC), High Efficiency Video Coding (HEVC), fast algorithm, machine learning.

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Section: Introductionmentioning

confidence: 99%

Fast HEVC to SCC Transcoder by Early CU Partitioning Termination and Decision Tree-Based Flexible Mode Decision for Intra-Frame Coding

2019

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“…Apart from bitrate/resolution adaptability and codec interoperability, the use of video transcoding has been reported for adding error resiliency for pre-encoded videos [9]. Video transcoding is also used for data embedding as reported in [10].…”

Section: Introductionmentioning

confidence: 99%

MPEG-2 to HEVC Video Transcoding With Content-Based Modeling

Shanableh

Peixoto

Izquierdo

2013

IEEE Trans. Circuits Syst. Video Technol.

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This paper proposes an efficient MPEG-2 to HEVC video transcoder. The objective of the transcoder is to migrate the abundant MPEG-2 video content to the emerging HEVC video coding standard. The transcoder introduces a content-based machine learning solution to predict the depth of the final HEVC coding units. The proposed transcoder utilizes full re-encoding to find a mapping between the incoming MPEG-2 parameters and the outgoing HEVC depths of the coding units. Once the model is built, a switch to transcoding mode takes place. Hence the model is content-based and varies from one video sequence to another. The transcoder is compared against the full re-encoding using the default HEVC fast motion estimation. Using 5 HEVC test sequences, it is shown that a speed-up factor of up to 3 is achieved whilst reducing the bitrate of the incoming video by around 50%. In comparison to full re-encoding, an average of 3.9% excessive bitrate is encountered with an average PSNR drop of 0.1 dB. Since this is the first work to report on MPEG-2 to HEVC video transcoding then the reported results can be used as a benchmark for future transcoding research.

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“…Error resilient video-transcoding is a sort of transcoding method that gives error resilience to a previously coded bitstream which is not taken account of transmission error [5]− [8]. Various designs for error resilient transcoding through full or non-full decoding of the original encoded bitstream are presented with tools such as motion reestimation, bitstream resynchronization, mode-changing that takes account of network conditions, and so on [5], [7], [9].…”

Section: I Introductionmentioning

confidence: 99%

A design of error resilient video transcoder using MDC into motion and texture field

Kim

Park

2009

2009 9th International Symposium on Communications and Information Technology

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Error resiliency transcoding and decoding solutions using distributed video coding techniques

Cited by 6 publications

References 20 publications

Fast HEVC to SCC Transcoder by Early CU Partitioning Termination and Decision Tree-Based Flexible Mode Decision for Intra-Frame Coding

Fast HEVC to SCC Transcoder by Early CU Partitioning Termination and Decision Tree-Based Flexible Mode Decision for Intra-Frame Coding

MPEG-2 to HEVC Video Transcoding With Content-Based Modeling

A design of error resilient video transcoder using MDC into motion and texture field

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