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Diverse Subblock-Level Motion Derivation Schemes for AVS3

Published: 10 September 2020 Publication History

Abstract

AVS3 is the third generation audio video coding standard (AVS) developed by the AVS working group from 2018 and its base profile achieves roughly 20% bit rate saving compared to H.265/HEVC. In this paper, two subblock-level motion derivation methods, including enhanced temporal motion vector prediction (ETMVP) and planar mode based motion vector prediction (PMMVP), are proposed to diversify the motion derivation scheme and enhance the prediction efficiency of skip/direct mode in the AVS3 structure. Different from the traditional temporal motion vector prediction (TMVP), subblock-level motion vectors in ETMVP are derived by combining the traditional TMVP and motion vector difference predictor (MVDP). In PMMVP, the motion of each subblock is generated by interpolation from spatially neighboring blocks in a manner of intra planar mode. The newly introduced motions are developed as the additional motion candidates in skip/direct mode. The proposed method is implemented on top of the AVS3 reference software (HPM-3.2), and the experimental result shows that a 1.65% BD-rate reduction (up to -3.13%) is achieved under Random Access configuration.

References

[1]
J. An, H. Huang, K. Zhang. Quadtree plus binary tree structure integration with JEM tools, JVET-B0023, Joint Video Exploration Team (JVET). Feb. 2016.
[2]
Wang M, Li J, Zhang L, et al. Extended Quad-Tree Partitioning for Future Video Coding[C]//2019 Data Compression Conference (DCC). IEEE, 2019: 300--309.
[3]
Shao Z, Yu L. Multi-directional skip and direct modes design in bi-predictive slices for AVS2 standard[C]//2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 2014: 1--5.
[4]
K. Fan, R. Wang, G. Li and W. Gao, "Efficient Prediction Methods with Enhanced Spatial-Temporal Correlation for HEVC," in IEEE Transactions on Circuits and Systems for Video Technology.
[5]
H. Li, K. Fan, R. Wang, G. Li and W. Wang, "A Motion Aided Merge Mode For Hevc," 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, 2018, pp. 1773--1776.
[6]
Zhang L, Zhang K, Liu H, et al. History-Based Motion Vector Prediction in Versatile Video Coding[C]//2019 Data Compression Conference (DCC). IEEE, 2019: 43--52.
[7]
A. Alshin et al., "Description of SDR, HDR and 360° video coding technology proposal by Samsung, Huawei, GoPro, and HiSilicon -- mobile application scenario", JVETJ0025, San Diego, US, Apr. 2018.
[8]
Huang H, Woods J W, Zhao Y, et al. Affine SKIP and DIRECT modes for efficient video coding[C]//2012 Visual Communications and Image Processing. IEEE, 2012: 1--6.
[9]
Chien, Wei-Jung, et al. "subblock motion derivation for merge mode in HEVC." Applications of Digital Image Processing XXXIX. Vol. 9971. International Society for Optics and Photonics, 2016.
[10]
K. Fan, "AVS3-P2 Common test condition V6.0", AVS document N2654, Mar. 2019.

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  1. Diverse Subblock-Level Motion Derivation Schemes for AVS3

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    ICDSP '20: Proceedings of the 2020 4th International Conference on Digital Signal Processing
    June 2020
    383 pages
    ISBN:9781450376877
    DOI:10.1145/3408127
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 September 2020

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    Author Tags

    1. AVS3
    2. motion vector difference predictor
    3. planar mode
    4. subblock-level motion vector prediction
    5. temporal motion vector prediction

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    • Research-article
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    • Refereed limited

    Funding Sources

    • National Natural Science Foundation of China
    • Shenzhen Research Projects
    • National Engineering Laboratory for Video Technology - Shenzhen Division
    • Shenzhen Key Laboratory for Intelligent Multimedia and Virtual Reality

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    ICDSP 2020

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