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What is the current state of block-level adaptive quantization in VVC? 


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Block-level adaptive quantization in VVC is an important feature that aims to improve perceptual quality and coding efficiency. Several papers propose different techniques to enhance this aspect. Lee Prangnell et al. propose an adaptive quantization technique that considers the variance of chroma samples and temporal information in addition to spatial information . Jeeyoon Park et al. simplify the rate-distortion optimization process in the RDOQ-TS scheme by skipping the level estimation process in certain cases, reducing encoding time without sacrificing coding efficiency . Miaohui Wang et al. propose an improved block-level adaptive quantization algorithm that achieves adaptive QP for each block with lower computational complexity compared to traditional methods . Ching-Nung Yang et al. design variants of ABTC-EQ to enhance visual quality and compression ratio by utilizing variable-length coding and observations on quantization levels . Maxime Bichon et al. propose an optimal quantization algorithm that achieves significant bitrate savings compared to no adaptive quantization in HEVC .

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The provided paper is about optimal adaptive quantization in HEVC, not VVC. The current state of block-level adaptive quantization in VVC is not mentioned in the paper.
The provided paper is about an improved block level adaptive quantization algorithm for the High Efficiency Video Coding (HEVC) standard. It does not mention the current state of block-level adaptive quantization in the Versatile Video Coding (VVC) standard.
The provided paper does not mention the current state of block-level adaptive quantization in VVC.
The provided paper does not discuss the current state of block-level adaptive quantization in VVC.
The provided paper does not mention the current state of block-level adaptive quantization in VVC.

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