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Journal articles on the topic 'Versatile Video Coding'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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1

Choe, Jaeryun, Haechul Choi, Heeji Han, and Daehyeok Gwon. "Novel video coding methods for versatile video coding." International Journal of Computational Vision and Robotics 11, no. 5 (2021): 526. http://dx.doi.org/10.1504/ijcvr.2021.10040489.

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Han, Heeji, Daehyeok Gwon, Jaeryun Choe, and Haechul Choi. "Novel video coding methods for versatile video coding." International Journal of Computational Vision and Robotics 11, no. 5 (2021): 526. http://dx.doi.org/10.1504/ijcvr.2021.117582.

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3

Takamura, Seishi. "Versatile Video Coding: a Next-generation Video Coding Standard." NTT Technical Review 17, no. 6 (2019): 49–52. http://dx.doi.org/10.53829/ntr201906gls.

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Ikai, Tomohiro, and Takeshi Chujoh. "1. Overview of Versatile Video Coding." Journal of The Institute of Image Information and Television Engineers 75, no. 1 (2021): 1–9. https://doi.org/10.3169/itej.75.1.

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Silva, Giovane Gomes, Ícaro Gonçalves Siqueira, Mateus Grellert, and Claudio Machado Diniz. "Approximate Hardware Architecture for Interpolation Filter of Versatile Video Coding." Journal of Integrated Circuits and Systems 16, no. 2 (2021): 1–8. http://dx.doi.org/10.29292/jics.v16i2.327.

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The new Versatile Video Coding (VVC) standard was recently developed to improve compression efficiency of previous video coding standards and to support new applications. This was achieved at the cost of an increase in the computational complexity of the encoder algorithms, which leads to the need to develop hardware accelerators and to apply approximate computing techniques to achieve the performance and power dissipation required for systems that encode video. This work proposes the implementation of an approximate hardware architecture for interpolation filters defined in the VVC standard t
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Sullivan, Gary J. "Video Coding Standards Progress Report: Joint Video Experts Team Launches the Versatile Video Coding Project." SMPTE Motion Imaging Journal 127, no. 8 (2018): 94–98. http://dx.doi.org/10.5594/jmi.2018.2846098.

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Palau, Roberta De Carvalho Nobre, Bianca Santos da Cunha Silveira, Robson André Domanski, et al. "Modern Video Coding: Methods, Challenges and Systems." Journal of Integrated Circuits and Systems 16, no. 2 (2021): 1–12. http://dx.doi.org/10.29292/jics.v16i2.503.

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With the increasing demand for digital video applications in our daily lives, video coding and decoding become critical tasks that must be supported by several types of devices and systems. This paper presents a discussion of the main challenges to design dedicated hardware architectures based on modern hybrid video coding formats, such as the High Efficiency Video Coding (HEVC), the AOMedia Video 1 (AV1) and the Versatile Video Coding (VVC). The paper discusses eachstep of the hybrid video coding process, highlighting the main challenges for each codec and discussing the main hardware solutio
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Pamidi, Lakshmi Amrutha Valli, and Purnachand Nalluri. "Optimized in-loop filtering in versatile video coding using improved fast guided filter." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 911–19. https://doi.org/10.11591/ijeecs.v33.i2.pp911-919.

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Devices with varying display capabilities from a common source may face degradation in video quality because of the limitation in transmission bandwidth and storage. The solution to overcome this challenge is to enrich the video quality. For the mentioned purpose, this paper introduces an improved fast guided filter (IFGF) for the contemporary video coding standard H.266/VVC (versatile video coding), a continuation of H.265/HEVC (high efficiency video coding). VVC includes several types of coding techniques to enhance video coding efficiency over existing video coding standards. Despite that,
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Mishra, Amit Kumar. "Versatile Video Coding (VVC) Standard: Overview and Applications." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 2 (2019): 975–81. http://dx.doi.org/10.17762/turcomat.v10i2.13578.

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Information security includes picture and video compression and encryption since compressed data is more secure than uncompressed imagery. Another point is that handling data of smaller sizes is simple. Therefore, efficient, secure, and simple data transport methods are created through effective data compression technology. Consequently, there are two different sorts of compression algorithm techniques: lossy compressions and lossless compressions. Any type of data format, including text, audio, video, and picture files, may leverage these technologies. In this procedure, the Least Significant
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Amrutha Valli Pamidi, Lakshmi, and Purnachand Nalluri. "Optimized in-loop filtering in versatile video coding using improved fast guided filter." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 911. http://dx.doi.org/10.11591/ijeecs.v33.i2.pp911-919.

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<p>Devices with varying display capabilities from a common source may face degradation in video quality because of the limitation in transmission bandwidth and storage. The solution to overcome this challenge is to enrich the video quality. For the mentioned purpose, this paper introduces an improved fast guided filter (IFGF) for the contemporary video coding standard H.266/VVC (versatile video coding), a continuation of H.265/HEVC (high efficiency video coding). VVC includes several types of coding techniques to enhance video coding efficiency over existing video coding standards. Despi
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Im, Sio-Kei, and Ka-Hou Chan. "Faster Intra-Prediction of Versatile Video Coding Using a Concatenate-Designed CNN via DCT Coefficients." Electronics 13, no. 11 (2024): 2214. http://dx.doi.org/10.3390/electronics13112214.

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As the next generation video coding standard, Versatile Video Coding (VVC) significantly improves coding efficiency over the current High-Efficiency Video Coding (HEVC) standard. In practice, this improvement comes at the cost of increased pre-processing complexity. This increased complexity faces the challenge of implementing VVC for time-consuming encoding. This work presents a technique to simplify VVC intra-prediction using Discrete Cosine Transform (DCT) feature analysis and a concatenate-designed CNN. The coefficients of the (DTC-)transformed CUs reflect the complexity of the original te
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Li, Wei, Xiantao Jiang, Jiayuan Jin, Tian Song, and Fei Richard Yu. "Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding." Information 13, no. 8 (2022): 394. http://dx.doi.org/10.3390/info13080394.

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The latest video coding standard, versatile video coding (VVC), has greatly improved coding efficiency over its predecessor standard high efficiency video coding (HEVC), but at the expense of sharply increased complexity. In the context of perceptual video coding (PVC), the visual saliency model that utilizes the characteristics of the human visual system to improve coding efficiency has become a reliable method due to advances in computer performance and visual algorithms. In this paper, a novel VVC optimization scheme compliant PVC framework is proposed, which consists of fast coding unit (C
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Adhuran, Jayasingam, Gosala Kulupana, Chathura Galkandage, and Anil Fernando. "Multiple Quantization Parameter Optimization in Versatile Video Coding for 360° Videos." IEEE Transactions on Consumer Electronics 66, no. 3 (2020): 213–22. http://dx.doi.org/10.1109/tce.2020.3001231.

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PARK, Dohyeon, Jinho LEE, Jung-Won KANG, and Jae-Gon KIM. "Simplified Triangular Partitioning Mode in Versatile Video Coding." IEICE Transactions on Information and Systems E103.D, no. 2 (2020): 472–75. http://dx.doi.org/10.1587/transinf.2019edl8084.

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Farajallah, Mousa, Guillaume Gautier, Wassim Hamidouche, Olivier Deforges, and Safwan El Assad. "Selective Encryption of the Versatile Video Coding Standard." IEEE Access 10 (2022): 21821–35. http://dx.doi.org/10.1109/access.2022.3149599.

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Aisha, Qurat Ul Ain, Young-Ju Choi, Jongho Kim, Sung-Chang Lim, Jin Soo Choi, and Byung-Gyu Kim. "Deep Inter Prediction for Versatile Video Coding (VVC)." Journal of Multimedia Information System 11, no. 3 (2024): 175–84. http://dx.doi.org/10.33851/jmis.2024.11.3.175.

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17

Chen, Lei, Baoping Cheng, Haotian Zhu, Haowen Qin, Lihua Deng, and Lei Luo. "Fast Versatile Video Coding (VVC) Intra Coding for Power-Constrained Applications." Electronics 13, no. 11 (2024): 2150. http://dx.doi.org/10.3390/electronics13112150.

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Versatile Video Coding (VVC) achieves impressive coding gain improvement (about 40%+) over the preceding High-Efficiency Video Coding (HEVC) technology at the cost of extremely high computational complexity. Such an extremely high complexity increase is a great challenge for power-constrained applications, such as Internet of video things. In the case of intra coding, VVC utilizes the brute-force recursive search for both the partition structure of the coding unit (CU), which is based on the quadtree with nested multi-type tree (QTMT), and 67 intra prediction modes, compared to 35 in HEVC. As
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Zouidi, Naima, Amina Kessentini, Wassim Hamidouche, Nouri Masmoudi, and Daniel Menard. "Multitask Learning Based Intra-Mode Decision Framework for Versatile Video Coding." Electronics 11, no. 23 (2022): 4001. http://dx.doi.org/10.3390/electronics11234001.

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In mid-2020, the new international video coding standard, namely versatile video coding (VVC), was officially released by the Joint Video Expert Team (JVET). As its name indicates, the VVC enables a higher level of versatility with better compression performance compared to its predecessor, high-efficiency video coding (HEVC). VVC introduces several new coding tools like multiple reference lines (MRL) and matrix-weighted intra-prediction (MIP), along with several improvements on the block-based hybrid video coding scheme such as quatree with nested multi-type tree (QTMT) and finer-granularity
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JABALLAH, Sami, and Mohamed-Chaker LARABI. "Complexity Optimization for the Upcoming Versatile Video Coding Standard." Electronic Imaging 2020, no. 9 (2020): 286–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.9.iqsp-286.

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The Versatile Video Coding (VVC) is forseen as the next generation video coding standard. The main objective is to achieve coding efficiency improvement of about 50% bit-rate reduction compared to the previous standard HEVC at the same visual quality by 2020. In this paper, a fast VVC encoder is proposed based on an early split termination for fast intra CU selection. Taking into account edge complexity of the block and the best intra prediction mode obtained at the current block size, an early split termination is proposed. Using spatial neighboring coding unit depths (quad-tree, binary-tree
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20

Jiang, Xiantao, Mo Xiang, Jiayuan Jin, and Tian Song. "Extreme Learning Machine-Enabled Coding Unit Partitioning Algorithm for Versatile Video Coding." Information 14, no. 9 (2023): 494. http://dx.doi.org/10.3390/info14090494.

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The versatile video coding (VVC) standard offers improved coding efficiency compared to the high efficiency video coding (HEVC) standard in multimedia signal coding. However, this increased efficiency comes at the cost of increased coding complexity. This work proposes an efficient coding unit partitioning algorithm based on an extreme learning machine (ELM), which can reduce the coding complexity while ensuring coding efficiency. Firstly, the coding unit size decision is modeled as a classification problem. Secondly, an ELM classifier is trained to predict the coding unit size. In the experim
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Cho, Seunghyun, Dong-Wook Kim, and Seung-Won Jung. "Quality enhancement of VVC intra-frame coding for multimedia services over the Internet." International Journal of Distributed Sensor Networks 16, no. 5 (2020): 155014772091764. http://dx.doi.org/10.1177/1550147720917647.

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In this article, versatile video coding, the next-generation video coding standard, is combined with a deep convolutional neural network to achieve state-of-the-art image compression efficiency. The proposed hierarchical grouped residual dense network exhaustively exploits hierarchical features in each architectural level to maximize the image quality enhancement capability. The basic building block employed for hierarchical grouped residual dense network is residual dense block which exploits hierarchical features from internal convolutional layers. Residual dense blocks are then combined int
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22

Choi, Kiho. "A Study on Fast and Low-Complexity Algorithms for Versatile Video Coding." Sensors 22, no. 22 (2022): 8990. http://dx.doi.org/10.3390/s22228990.

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Versatile Video Coding (VVC)/H.266, completed in 2020, provides half the bitrate of the previous video coding standard (i.e., High-Efficiency Video Coding (HEVC)/H.265) while maintaining the same visual quality. The primary goal of VVC/H.266 is to achieve a compression capability that is noticeably better than that of HEVC/H.265, as well as the functionality to support a variety of applications with a single profile. Although VVC/H.266 has improved its coding performance by incorporating new advanced technologies with flexible partitioning, the increased encoding complexity has become a challe
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Bukit, Alexander Victor, Suwadi Suwadi, and Wirawan Wirawan. "Low complexity rate control for versatile video coding with hybrid Lagrange multiplier." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 2 (2025): 1686–95. https://doi.org/10.11591/ijece.v15i2.pp1686-1695.

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Versatile video coding (VVC) has a notable increase in encoding efficiency over high efficiency video coding (HEVC) but bandwidth and storage are limited in real-world video applications, so rate control is crucial. Even if VVC shows a notable increase in encoding capacity over HEVC, the rate control may create fluctuations in video quality and computational complexity. This fluctuation can have a significant impact on the watching experience, particularly in low-bitrate settings. The rate control variables of the consistent resolution and the decreased resolution are proposed in order to make
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Han, Heeji, Daehyeok Gwon, Jeongil Seo, and Haechul Choi. "FR-IBC: Flipping and Rotation Intra Block Copy for Versatile Video Coding." Electronics 14, no. 2 (2025): 221. https://doi.org/10.3390/electronics14020221.

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Screen content has become increasingly important in multimedia applications owing to the growth of remote desktops, Wi-Fi displays, and cloud computing. However, these applications generate large amounts of data, and their limited bandwidth necessitates efficient video coding. While existing video coding standards have been optimized for natural videos originally captured by cameras, screen content has unique characteristics such as large homogeneous areas and repeated patterns. In this paper, we propose an enhanced intra block copy (IBC) method for screen content coding (SCC) in versatile vid
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Saha, Anup, Miguel Chavarrías, Fernando Pescador, Ángel M. Groba, Kheyter Chassaigne, and Pedro L. Cebrián. "Complexity Analysis of a Versatile Video Coding Decoder over Embedded Systems and General Purpose Processors." Sensors 21, no. 10 (2021): 3320. http://dx.doi.org/10.3390/s21103320.

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The increase in high-quality video consumption requires increasingly efficient video coding algorithms. Versatile video coding (VVC) is the current state-of-the-art video coding standard. Compared to the previous video standard, high efficiency video coding (HEVC), VVC demands approximately 50% higher video compression while maintaining the same quality and significantly increasing the computational complexity. In this study, coarse-grain profiling of a VVC decoder over two different platforms was performed: One platform was based on a high-performance general purpose processor (HGPP), and the
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Bross, Benjamin, Jianle Chen, Jens-Rainer Ohm, Gary J. Sullivan, and Ye-Kui Wang. "Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC)." Proceedings of the IEEE 109, no. 9 (2021): 1463–93. http://dx.doi.org/10.1109/jproc.2020.3043399.

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Bukit, Alexander Victor, Suwadi Suwadi, and Wirawan Wirawan. "Low complexity rate control for versatile video coding with hybrid Lagrange multiplier." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 2 (2025): 1686. https://doi.org/10.11591/ijece.v15i2.pp1686-1695.

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Versatile video coding (VVC) has a notable increase in encoding efficiency over high efficiency video coding (HEVC) but bandwidth and storage are limited in real-world video applications, so rate control is crucial. Even if VVC shows a notable increase in encoding capacity over HEVC, the rate control may create fluctuations in video quality and computational complexity. This fluctuation can have a significant impact on the watching experience, particularly in low-bitrate settings. The rate control variables of the consistent resolution and the decreased resolution are proposed in order to make
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Sjoberg, Rickard, Jacob Strom, Lukasz Litwic, and Kenneth Andersson. "Versatile Video Coding explained – The Future of Video in a 5G World." Ericsson Technology Review 2020, no. 10 (2020): 2–12. http://dx.doi.org/10.23919/etr.2020.9905504.

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Kim, Seonjae, Dongsan Jun, Byung-Gyu Kim, Seungkwon Beack, Misuk Lee, and Taejin Lee. "Two-Dimensional Audio Compression Method Using Video Coding Schemes." Electronics 10, no. 9 (2021): 1094. http://dx.doi.org/10.3390/electronics10091094.

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As video compression is one of the core technologies that enables seamless media streaming within the available network bandwidth, it is crucial to employ media codecs to support powerful coding performance and higher visual quality. Versatile Video Coding (VVC) is the latest video coding standard developed by the Joint Video Experts Team (JVET) that can compress original data hundreds of times in the image or video; the latest audio coding standard, Unified Speech and Audio Coding (USAC), achieves a compression rate of about 20 times for audio or speech data. In this paper, we propose a pre-p
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Wang, Meng, Shiqi Wang, Junru Li, et al. "Low Complexity Trellis-Coded Quantization in Versatile Video Coding." IEEE Transactions on Image Processing 30 (2021): 2378–93. http://dx.doi.org/10.1109/tip.2021.3051460.

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Pan, Zhaoqing, He Qin, Xiaokai Yi, Yuhui Zheng, and Asifullah Khan. "Low complexity versatile video coding for traffic surveillance system." International Journal of Sensor Networks 30, no. 2 (2019): 116. http://dx.doi.org/10.1504/ijsnet.2019.099473.

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Qin, He, Asifullah Khan, Yuhui Zheng, Xiaokai Yi, and Zhaoqing Pan. "Low complexity versatile video coding for traffic surveillance system." International Journal of Sensor Networks 30, no. 2 (2019): 116. http://dx.doi.org/10.1504/ijsnet.2019.10020953.

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Jung, Seongwon, and Dongsan Jun. "Context-Based Inter Mode Decision Method for Fast Affine Prediction in Versatile Video Coding." Electronics 10, no. 11 (2021): 1243. http://dx.doi.org/10.3390/electronics10111243.

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Versatile Video Coding (VVC) is the most recent video coding standard developed by Joint Video Experts Team (JVET) that can achieve a bit-rate reduction of 50% with perceptually similar quality compared to the previous method, namely High Efficiency Video Coding (HEVC). Although VVC can support the significant coding performance, it leads to the tremendous computational complexity of VVC encoder. In particular, VVC has newly adopted an affine motion estimation (AME) method to overcome the limitations of the translational motion model at the expense of higher encoding complexity. In this paper,
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Teng, Guowei, Danqi Xiong, Ran Ma, and Ping An. "Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding." PLOS ONE 16, no. 11 (2021): e0258890. http://dx.doi.org/10.1371/journal.pone.0258890.

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Versatile video coding (VVC) achieves enormous improvement over the advanced high efficiency video coding (HEVC) standard due to the adoption of the quadtree with nested multi-type tree (QTMT) partition structure and other coding tools. However, the computational complexity increases dramatically as well. To tackle this problem, we propose a decision tree accelerated coding tree units (CTU) partition algorithm for intra prediction in VVC. Firstly, specially designated image features are extracted to characterize the coding unit (CU) complexity. Then, the trained decision tree is employed to pr
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Mahesh, Pawaskar, and Gaurav Vijay Dr. "A Survey on Video Coding Optimizations using Machine Learning." A Survey on Video Coding Optimizations using Machine Learning 8, no. 11 (2023): 5. https://doi.org/10.5281/zenodo.10390264.

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The most common type of data used globally is presently video data. The volume of video data has been rising explosively around the globe as a result of the quick development of video applications and the rising demand for higher-quality video services, giving the biggest challenge to multimedia processing, transmission, and storage. Video coding by compression has become somewhat saturated while the compression ratio has grown in the last three decades. Deep Learning algorithms offer new possibilities for improving video coding technologies since they can make data-driven predictions and lear
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Cao, Jian, Fan Liang, and Jun Wang. "Intra Block Copy Mirror Mode for Screen Content Coding in Versatile Video Coding." IEEE Access 9 (2021): 31390–400. http://dx.doi.org/10.1109/access.2021.3060448.

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Lee, Minhun, HyeonJu Song, Jeeyoon Park, et al. "Overview of Versatile Video Coding (H.266/VVC) and Its Coding Performance Analysis." IEIE Transactions on Smart Processing & Computing 12, no. 2 (2023): 122–54. http://dx.doi.org/10.5573/ieiespc.2023.12.2.122.

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高啟洲, 高啟洲, та 賴美妤 Chi-Chou Kao. "基於深度學習之改良式多功能影像編碼快速畫面內模式決策研究". 理工研究國際期刊 12, № 1 (2022): 037–48. http://dx.doi.org/10.53106/222344892022041201004.

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<p>H.266/Versatile Video Coding (VVC) 是針對 4K 以上的超高畫質影片，且能適用在高動態範圍(High Dynamic Range Imaging, HDR)及廣色域(wide color gamut, WCG)中，但基於四元樹加二元樹(Quadtree plus Binary Tree, QTBT)的編碼單元(Coding Unit, CU)結構增加了 H.266/VVC 編碼的計算複雜性。本論文提出了一種基於深度學習之改良式多功能影像編碼快速畫面內模式決策方法，減少 H.266/VVC 內編碼複雜性以加快H.266/VVC 的編碼速度，並將畫面內影像編碼結合卷積神經網路(Convolutional Neural Networks, CNN)在 H.266/VVC 畫面內編碼的模式預測決策，以達到比原始編碼方式(JEM7.0)更好的編碼效能。</p> <p> </p><p>H.266/VVC is ultra-high-definition video over 4K, and can be applied in High Dynamic Range Imaging (HDR) and wide color gamut (WCG). However, it has
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Zhao, Jinchao, Yihan Wang, and Qiuwen Zhang. "Fast CU Size Decision Method Based on Just Noticeable Distortion and Deep Learning." Scientific Programming 2021 (December 8, 2021): 1–10. http://dx.doi.org/10.1155/2021/3813116.

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With the development of broadband networks and high-definition displays, people have higher expectations for the quality of video images, which also brings new requirements and challenges to video coding technology. Compared with H.265/High Efficiency Video Coding (HEVC), the latest video coding standard, Versatile Video Coding (VVC), can save 50%-bit rate while maintaining the same subjective quality, but it leads to extremely high encoding complexity. To decrease the complexity, a fast coding unit (CU) size decision method based on Just Noticeable Distortion (JND) and deep learning is propos
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Li, Minghui, Zhaohong Li, and Zhenzhen Zhang. "A VVC Video Steganography Based on Coding Units in Chroma Components with a Deep Learning Network." Symmetry 15, no. 1 (2022): 116. http://dx.doi.org/10.3390/sym15010116.

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Versatile Video Coding (VVC) is the latest video coding standard, but currently, most steganographic algorithms are based on High-Efficiency Video Coding (HEVC). The concept of symmetry is often adopted in deep neural networks. With the rapid rise of new multimedia, video steganography shows great research potential. This paper proposes a VVC steganographic algorithm based on Coding Units (CUs). Considering the novel techniques in VVC, the proposed steganography only uses chroma CUs to embed secret information. Based on modifying the partition modes of chroma CUs, we propose four different emb
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Li, Yue, Fei Luo, and Yapei Zhu. "Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding." Sensors 22, no. 20 (2022): 7741. http://dx.doi.org/10.3390/s22207741.

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Versatile video coding (VVC) adopts an advanced quad-tree plus multi-type tree (QTMT) coding structure to obtain higher compression efficiency, but it comes at the cost of a considerable increase in coding complexity. To effectively reduce the coding complexity of the QTMT-based coding unit (CU) partition, we propose a fast inter CU partition method based on a temporal prediction model, which includes early termination QTMT partition and early skipping multi-type tree (MT) partition. Firstly, according to the position of the current CU, we extract the optimal CU partition information of the po
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Yoon, Yong-Uk, and Jae-Gon Kim. "Activity-Based Block Partitioning Decision Method for Versatile Video Coding." Electronics 11, no. 7 (2022): 1061. http://dx.doi.org/10.3390/electronics11071061.

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Versatile Video Coding (VVC), the latest international video coding standard, has more than twice the compression performance of High-Efficiency Video Coding (HEVC) through adopting various coding techniques. The multi-type tree (MTT) block structure offers more advanced flexible block partitioning by allowing the binary tree (BT) and ternary tree (TT) structures, as well as the quadtree (QT) structure. Because VVC selects the optimal block partition by performing encoding on all possible CU partitions, the encoding complexity increases enormously. In this paper, we observe the relationship be
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He, Liqiang, Shuhua Xiong, Ruolan Yang, Xiaohai He, and Honggang Chen. "Low-Complexity Multiple Transform Selection Combining Multi-Type Tree Partition Algorithm for Versatile Video Coding." Sensors 22, no. 15 (2022): 5523. http://dx.doi.org/10.3390/s22155523.

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Despite the fact that Versatile Video Coding (VVC) achieves a superior coding performance to High-Efficiency Video Coding (HEVC), it takes a lot of time to encode video sequences due to the high computational complexity of the tools. Among these tools, Multiple Transform Selection (MTS) require the best of several transforms to be obtained using the Rate-Distortion Optimization (RDO) process, which increases the time spent video encoding, meaning that VVC is not suited to real-time sensor application networks. In this paper, a low-complexity multiple transform selection, combined with the mult
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44

Lei, Meng, Falei Luo, Xinfeng Zhang, Shanshe Wang, and Siwei Ma. "Joint Local and Nonlocal Progressive Prediction for Versatile Video Coding." IEEE Transactions on Image Processing 31 (2022): 2824–38. http://dx.doi.org/10.1109/tip.2022.3161831.

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45

Meng, Xuewei, Chuanmin Jia, Xinfeng Zhang, Shanshe Wang, and Siwei Ma. "Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding." IEEE Transactions on Image Processing 31 (2022): 30–42. http://dx.doi.org/10.1109/tip.2021.3126420.

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46

Lim, Sung-Chang, Dae-Yeon Kim, and Jungwon Kang. "Simplification on Cross-Component Linear Model in Versatile Video Coding." Electronics 9, no. 11 (2020): 1885. http://dx.doi.org/10.3390/electronics9111885.

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To improve coding efficiency by exploiting the local inter-component redundancy between the luma and chroma components, the cross-component linear model (CCLM) is included in the versatile video coding (VVC) standard. In the CCLM mode, linear model parameters are derived from the neighboring luma and chroma samples of the current block. Furthermore, chroma samples are predicted by the reconstructed samples in the collocated luma block with the derived parameters. However, as the CCLM design in the VVC test model (VTM)-6.0 has many conditional branches in its processes to use only available nei
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Lee, J., and J. Jeong. "Deblocking performance analysis of weak filter on versatile video coding." Electronics Letters 56, no. 6 (2020): 289–90. http://dx.doi.org/10.1049/el.2019.3760.

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Filipe, Jose N., Luis M. N. Tavora, Sergio M. M. Faria, Antonio Navarro, and Pedro A. A. Assuncao. "Complexity reduction methods for Versatile Video Coding: A comparative review." Digital Signal Processing 160 (May 2025): 105021. https://doi.org/10.1016/j.dsp.2025.105021.

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Park, Sang-Hyo, and Je-Won Kang. "Fast Affine Motion Estimation for Versatile Video Coding (VVC) Encoding." IEEE Access 7 (2019): 158075–84. http://dx.doi.org/10.1109/access.2019.2950388.

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Chen, Yamei, Li Yu, Hongkui Wang, Tiansong Li, and Shengwei Wang. "A novel fast intra mode decision for versatile video coding." Journal of Visual Communication and Image Representation 71 (August 2020): 102849. http://dx.doi.org/10.1016/j.jvcir.2020.102849.

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