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A Probability-Based Zero-Block Early Termination Algorithm for QSHVC
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AI
DOI：10.1109/TBC.2023.3262110.png)
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摘要
En 中文
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 real-time 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 probability-based 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.
Keyword:
Encoding
Costs
Discrete cosine transforms
Transforms
Quantization (signal)
Telecommunications
Computer science
SHVC
probability
Index Terms
AII-zero block
partial-zero block
期刊
IF:
4.8
论文数:
2.1K
被引数:
3.0K
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