Hybrid Strategies for Efficient Intra Prediction in Spatial SHVC

Wang, Dayong; Sun, Yu; Li, Weisheng; Xie, Lele; Lu, Xin; Dufaux, Frédéric; Zhu, Ce

doi:10.1109/tbc.2022.3222997

Cited by 4 publications

(3 citation statements)

References 31 publications

(65 reference statements)

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“…The experimental parameters were configured in accordance with the CTC. Specifically, both GOPSize and IntraPeriod were set to 1, and QPs were set as (22,27,32,37). Due to the unavailability of certain video sequences, only some sequences of the SC included in the CTC are considered.…”

Section: Resultsmentioning

confidence: 99%

Fast Mode and CU Splitting Decision for Intra Prediction in VVC SCC

Wang,

Yu,

et al. 2024

IEEE Trans. on Broadcast.

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Currently, screen content video applications are increasingly widespread in our daily lives. The latest Screen Content Coding (SCC) standard, known as Versatile Video Coding (VVC) SCC, employs a quad-tree plus multi-type tree (QTMT) coding structure for Coding Unit (CU) partitioning and screen content Coding Modes (CMs) selection. While VVC SCC achieves high coding efficiency, its coding complexity poses a significant obstacle to the further widespread adoption of screen content video. Hence, it is crucial to enhance the coding speed of VVC SCC. In this paper, we propose a fast mode and splitting decision for Intra prediction in VVC SCC. Specifically, we initially exploit deep learning techniques to predict content types for all CUs. Subsequently, we examine CM distributions of different content types to predict candidate CMs for CUs. We then introduce early skip and early terminate CM decisions for different content types of CUs to further eliminate unlikely CMs. Finally, we develop Block-based Differential Pulse-Code Modulation (BDPCM) early termination and CU splitting early termination to improve coding speed. Experimental results demonstrate that the proposed algorithm improves coding speed on average by 41.14%, with the BDBR increasing by 1.17%.

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Section: Resultsmentioning

confidence: 99%

Fast Mode and CU Splitting Decision for Intra Prediction in VVC SCC

Wang,

Yu,

et al. 2024

IEEE Trans. on Broadcast.

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“…To achieve an early termination for coding mode evaluation, Wang et al [10] proposed a few conditions based on the RD cost differences among square coding modes. Wang et al [11]- [13] first investigated RD cost distributions of ILR mode and Intra mode, and then used the distributions to determine whether ILR mode is the best mode thus skipping Intra mode.…”

Section: Related Workmentioning

confidence: 99%

A Probability-Based Zero-Block Early Termination Algorithm for QSHVC

Wang

Sun

et al. 2023

IEEE Trans. on Broadcast.

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To seamlessly adapt to time-varying network bandwidths, the Quality Scalable High-Efficiency Video Coding (QSHVC) is developed. However, its coding process is overly complex, and this seriously limits its wide applications in realtime environments. Therefore, it is of great significance to study fast coding algorithms for QSHVC. In this paper, we propose a novel probability-based zero-block early termination algorithm for QSHVC. First, we observed that the generated residual coefficients follow the Laplace distribution if a CU is accurately predicted. According to this observation, we derive the sum of squared differences based All-Zero Block (AZB) decision condition. Second, we develop the Hadamard Transform (HT)based zero-valued quantized coefficient decision condition to obtain zero-valued quantized coefficients and the corresponding Partial-Zero Block (PZB). Third, the probability of each coding mode and coding depth being chosen as the best ones are combined with both AZBs and PZBs to derive the probabilitybased early termination condition. The experimental results show that the proposed algorithm can improve the average coding speed by 79.85% with a 0.34% decrease in BDBR.

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“…To achieve an early termination for coding mode evaluation, Wang et al [5] proposed a few conditions based on the RD cost differences among square coding modes. Wang et al [6][7][8] first investigated the RD cost distributions of ILR mode and Intra mode, and then used the distributions to determine whether ILR mode is the best mode thus skipping Intra mode.…”

Section: Related Workmentioning

confidence: 99%

A Probability-Based All-Zero Block Early Termination Algorithm for QSHVC

Wang,

Lu,

Dufaux

et al. 2023

2023 IEEE International Conference on Image Processing (ICIP)

Self Cite

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To seamlessly adapt to time-varying network bandwidths, Quality Scalable High-Efficiency Video Coding (QSHVC) is developed. However, its coding process is overwhelmingly complex, and this seriously limits its wide applications in realtime environments. Therefore, it is of great significance to study fast coding algorithms for QSHVC. In this paper, we propose a novel probability-based All-Zero Block (AZB) early termination algorithm for QSHVC. We observe that the generated residual coefficients follow the Laplace distribution if a CU is accurately predicted. Based on this observation, we derive the sum of squared differences-based AZB decision condition. Second, the probability of each coding mode and coding depth being chosen as the best ones are combined with AZBs to derive the probability-based early termination condition. The experimental results show that the proposed algorithm can improve the average coding speed by 74.95% with a 0.26% increase in BDBR.

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Hybrid Strategies for Efficient Intra Prediction in Spatial SHVC

Cited by 4 publications

References 31 publications

Fast Mode and CU Splitting Decision for Intra Prediction in VVC SCC

Fast Mode and CU Splitting Decision for Intra Prediction in VVC SCC

A Probability-Based Zero-Block Early Termination Algorithm for QSHVC

A Probability-Based All-Zero Block Early Termination Algorithm for QSHVC

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