Adaptive Motion Vector Resolution for Affine-Inter Mode Coding

Liu, Hongbin; Zhang, Li; Zhang, Kai; Xu, Jizheng; Wang, Yue; Luo, Jiancong; He, Ying

doi:10.1109/pcs48520.2019.8954531

Cited by 15 publications

(8 citation statements)

References 10 publications

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“…More specifically, to determine the scale space in prediction, flexible coding unit partitioning structures, such as quad-tree nested binary tree and ternary tree [14], as well as extended quad-tree [15] are employed in VVC and AVS3, with the goal of promoting local adaptability. Moreover, enhanced intra and inter prediction technologies [16][17][18][19][20][21][22] have been investigated to improve the prediction efficiency with the consideration of various video characteristics. In this manner, the signal-level redundancy [16][17][18][19], as well as the mode-level redundancy [20][21][22] can be elegantly removed.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, enhanced intra and inter prediction technologies [16][17][18][19][20][21][22] have been investigated to improve the prediction efficiency with the consideration of various video characteristics. In this manner, the signal-level redundancy [16][17][18][19], as well as the mode-level redundancy [20][21][22] can be elegantly removed. In terms of transform, VVC and AVS3 support multiple transform cores such as DST-VII and DCT-VIII for better residual energy compaction [23].…”

Section: Related Workmentioning

confidence: 99%

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Sub-Sampled Cross-Component Prediction for Chroma Component Coding

Wang

Zhang³

et al. 2020

2020 Data Compression Conference (DCC)

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Cross-component linear model (CCLM) prediction has been repeatedly proven to be effective in reducing the interchannel redundancies in video compression. Essentially speaking, the linear model is identically trained by employing accessible luma and chroma reference samples at both encoder and decoder, elevating the level of operational complexity due to the least square regression or max-min based model parameter derivation. In this paper, we investigate the capability of the linear model in the context of sub-sampled based cross-component correlation mining, as a means of significantly releasing the operation burden and facilitating the hardware and software design for both encoder and decoder. In particular, the sub-sampling ratios and positions are elaborately designed by exploiting the spatial correlation and the inter-channel correlation. Extensive experiments verify that the proposed method is characterized by its simplicity in operation and robustness in terms of rate-distortion performance, leading to the adoption by Versatile Video Coding (VVC) standard and the third generation of Audio Video Coding Standard (AVS3).

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Sub-Sampled Cross-Component Prediction for Chroma Component Coding

Wang

Zhang³

et al. 2020

2020 Data Compression Conference (DCC)

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“…VVC, such as more flexible coding partitions [10], advanced intra/inter predictions [11][12][13][14][15][16], as well as advanced transform cores [17] supported for signal energy compaction. Moreover, along with the development of video coding standards, a series of video coding techniques have also been proposed, including extended quad-tree (EQT) [18,19], history-based motion vector predictions [16,20] and cross-component linear model prediction [21,22].…”

Section: Introductionmentioning

confidence: 99%

Low Complexity Quantization in High Efficiency Video Coding

et al. 2020

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The rate-distortion optimized quantization (RDOQ) provides an excellent trade-off between rate and distortion in High Efficiency Video Coding (HEVC), leading to inspiring improvement in terms of rate-distortion performance. However, its heavy use imposes high complexity on the encoder in realworld video compression applications. In this paper, we provide a comprehensive review on low complexity quantization techniques in HEVC, including both fast RDOQ and all-zero block detection. In particular, the fast RDOQ relies on rate and distortion models for rate-distortion cost estimation, such that the most appropriate quantized coefficient is selected in a low complexity way. All-zero block detection infers the all-zero block by skipping transform and quantization, in an effort to further reduce the complexity. The relationship between the two techniques is also discussed, and moreover, we also envision the future design of low complexity quantization in the upcoming Versatile Video Coding (VVC) standard. INDEX TERMS High efficiency video coding, low complexity video coding, rate-distortion optimized quantization.

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“…To better adapt the characteristics of high resolution videos, the size of coding tree unit (CTU) is enlarged to 128 × 128 with the cooperation of more flexible partitions such as quad-tree, binary-tree and ternary-tree [4]. Besides, enhanced intra and inter prediction technologies [5][6][7][8][9] are investigated to further remove the spatial and temporal redundancies. Moreover, multiple transform selection (MTS) is supported for better compacting residual energies [10] in frequency domain.…”

Section: Introductionmentioning

confidence: 99%

High Efficiency Rate Control for Versatile Video Coding Based on Composite Cauchy Distribution

Mao

Wang

2020

Preprint

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In this work, we propose a novel rate control algorithm for Versatile Video Coding (VVC) standard based on its distinct rate-distortion characteristics. By modelling the transform coefficients with the composite Cauchy distribution, higher accuracy compared with traditional distributions has been achieved. Based on the transform coefficient modelling, the theoretically derived R-Q and D-Q models which have been shown to deliver higher accuracy in characterizing RD characteristics for sequences with different content are incorporated into the rate control process. Furthermore, to establish an adaptive bit allocation scheme, the dependency between different levels of frames is modelled by a dependency factor to describe relationship between the reference and to-be-coded frames. Given the derived R-Q and D-Q relationships, as well as the dependency factor, an adaptive bit allocation scheme is developed for optimal bits allocation. We implement the proposed algorithm on VVC Test Model (VTM) 3.0. Experiments show that due to proper bit allocation, for low delay configuration the proposed algorithm can achieve 1.03% BD-Rate saving compared with the default rate control algorithm and 2.96% BD-Rate saving compared with fixed QP scheme. Moreover, 1.29% BD-Rate saving and higher control accuracy have also been observed under the random access configuration.

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Adaptive Motion Vector Resolution for Affine-Inter Mode Coding

Cited by 15 publications

References 10 publications

Sub-Sampled Cross-Component Prediction for Chroma Component Coding

Sub-Sampled Cross-Component Prediction for Chroma Component Coding

Low Complexity Quantization in High Efficiency Video Coding

High Efficiency Rate Control for Versatile Video Coding Based on Composite Cauchy Distribution

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