Journal of Optoelectronics · Laser, Volume. 35, Issue 11, 1208(2024)

Video frame-level CU rapid partitioning algorithm based on DenseNet+FPN network

CHENG Dongliang1,2,3,4, ZHANG Yinlong2,3,4, ZHOU Daoxian1,2,3,4, and FENG Xuan2,3,4,5
Author Affiliations
  • 1School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning 110168, China
  • 2State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 3Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 4Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110169, China
  • 5College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China
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    References(12)

    [1] [1] VIITANEN M, SAINIO J, MERCAT A, et al. From HEVC to VVC: The first development steps of a practical intra video encoder[J]. IEEE Transactions on Consumer Electronics, 2022, 68(2): 139-148.

    [4] [4] JIN Z P, AN P, YANG C, et al. Fast QTBT partition algorithm for intra frame coding through convolutional neural network[J]. IEEE Access, 2018, 6: 54660-54673.

    [5] [5] WANG Z, WANG S Q, ZHANG X F, et al. Fast QTBT partitioning decision for interframe coding with convolution neural network[C]//2018 25th IEEE International Conference on Image Processing (ICIP), October 7-10, 2018, Athens, Greece. New York: IEEE, 2018: 2550-2554.

    [6] [6] GALPIN F, RACAP F, JAISWAL S, et al. CNN-based driving of block partitioning for intra slices encoding[C]//2019 Data Compression Conference (DCC), March 26-29, 2019, Snowbird, UT, USA. New York: IEEE, 2019: 162-171.

    [7] [7] LI T Y, XU M, TANG R Z, et al. DeepQTMT: A deep learning approach for fast QTMT-based CU partition of intra-mode VVC[J]. IEEE Transactions on Image Processing, 2021, 30: 5377-5390.

    [8] [8] YANG H, SHEN L Q, DONG X C, et al. Low-complexity CTU partition structure decision and fast intra mode decision for versatile video coding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 30(6): 1668-1682.

    [9] [9] CHEN J N, SUN H M, KATTO J, et al. Fast QTMT partition decision algorithm in VVC intra coding based on variance and gradient[C]//2019 IEEE Visual Communications and Image Processing (VCIP). December 1-4 2019, Sydney, NSW, Australia. New York: IEEE, 2019: 1-4.

    [10] [10] CUI J, ZHANG T, GU C C, et al. Gradient-based early termination of CU partition in VVC intra coding[C]//2020 Data Compression Conference (DCC), March 24-27 2020, Snowbird, UT, USA. New York: IEEE, 2020: 103-112.

    [11] [11] WU G Q, HUANG Y, ZHU C, et al. SVM based fast CU partitioning algorithm for VVC intra coding[C]//2021 IEEE International Symposium on Circuits and Systems (ISCAS), May 22-28, 2021, Daegu, Korea. New York: IEEE, 2021: 1-5.

    [12] [12] TISSIER A, HAMIDOUCHE W, VANNE J, et al. CNN oriented complexity reduction of VVC intra encoder[C]//2020 IEEE International Conference on Image Processing (ICIP), October 25-28, 2020, Abu Dhabi, United Arab Emirates. New York: IEEE, 2020: 3139-3143.

    [14] [14] AMNA M, IMEN W, EZAHRA S F, et al. Fast intra coding unit partition decision in H.266/FVC based on deep learning[J]. Journal of Real-Time Image Processing, 2020, 17: 1971-1981.

    [15] [15] TANG G W, JING M E, ZENG X Y, et al. Adaptive CU split decision with pooling variable CNN for VVC intra encoding[C]//2019 IEEE Visual Communications and Image Processing (VCIP), December 1-4, 2019, Sydney, NSW, Australia. New York: IEEE, 2019: 1-4.

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    CHENG Dongliang, ZHANG Yinlong, ZHOU Daoxian, FENG Xuan. Video frame-level CU rapid partitioning algorithm based on DenseNet+FPN network[J]. Journal of Optoelectronics · Laser, 2024, 35(11): 1208

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    Paper Information

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    Received: Jun. 15, 2023

    Accepted: Dec. 31, 2024

    Published Online: Dec. 31, 2024

    The Author Email:

    DOI:10.16136/j.joel.2024.11.0316

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