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Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding
2021
PLoS ONE
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To tackle this problem, we propose a decision tree accelerated coding tree units (CTU) partition algorithm for intra prediction in VVC. ...
Then, the trained decision tree is employed to predict the partition results. ...
Last, my thanks would go to my beloved family for their loving considerations and great confidence in me all through these years. ...
doi:10.1371/journal.pone.0258890
pmid:34748550
pmcid:PMC8575300
fatcat:xsh44wnm4jcrbh7guyk7hpctpe
Comparative Rate-Distortion-Complexity Analysis of VVC and HEVC Video Codecs
2021
IEEE Access
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For a fair comparison, all our experiments were conducted under the VTM common test conditions (CTC) that define 10-bit configurations of the VTM codec for the addressed All Intra (AI), Random Access ( ...
Versatile Video Coding (VVC/H.266) is the next-generation international video coding standard and a successor to the widespread High Efficiency Video Coding (HEVC/H.265). ...
) state-of-the-art machine learning (ML) techniques that dynamically adapt to video content and predict the advantageous coding decisions beforehand; 2) parallel processing with novel vector extensions ...
doi:10.1109/access.2021.3077116
fatcat:xr4x5adlijf4fmv6vbsm2gemja
Transformer-Based Data-Driven Video Coding Acceleration for Industrial Applications
2022
Mathematical Problems in Engineering
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Finally, the final partitioning structure of the CTU is generated from the partitioning vector after a postprocessing operation and used by an industrial encoder. ...
To speed up the video coding process in some industrial scenes, this paper proposes a data-driven fast approach for coding tree unit (CTU) partitioning in HEVC intracoding. ...
Based on visual perception and machine learning, Chen et al. [24] proposed a fast algorithm by using random forest models to quickly select the partition for VVC intracoding. ...
doi:10.1155/2022/1440323
fatcat:ro53sxvmirg6dbwejokor5frsy
A Survey on Energy Consumption and Environmental Impact of Video Streaming
[article]
2024
arXiv
pre-print
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This survey contributes to a better understanding of sustainable and efficient video streaming technologies by providing insights into the state-of-the-art and potential future directions for researchers ...
existing video players; (3) lack of comprehensive open energy measurement dataset covering various device types and coding parameters for reproducible research. ...
The work in [102] addresses the VVC decoding energy consumption by configuring a set of coding tools and parameters, such as depth of partitioning and affine motion estimation, to optimize decoding energy ...
arXiv:2401.09854v1
fatcat:twfzhtbrerdqxc3qohs3vumnju
2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30
2020
IEEE transactions on circuits and systems for video technology (Print)
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., see Sepas-Moghaddam, A., TCSVT Dec. 2020 4496-4512 Hassanpour, H., see Khosravi, M.H., TCSVT Jan. 2020 48-58 Hatzinakos, D., see 2900-2916 Hayat, M., see 2900-2916 He, C., Hu, Y., Chen, Y., Fan ...
Roy, A., +, TCSVT Aug. 2020 2377-2390
Decision trees
Fast 3D-HEVC Depth Map Encoding Using Machine Learning. ...
., +, Machine Learning-Based Fast Intra Mode Decision for HEVC Screen Content Coding via Decision Trees. ...
doi:10.1109/tcsvt.2020.3043861
fatcat:s6z4wzp45vfflphgfcxh6x7npu
Overview of the Versatile Video Coding (VVC) Standard and its Applications
2021
IEEE transactions on circuits and systems for video technology 31(10)
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It is explained how these new features in VVC provide greater versatility for applications. ...
., for scalability. Furthermore, early implementations are presented to show that the new VVC standard is implementable and ready for real-world deployment. ...
to a large archive of innovative contributions available for further study. ...
doi:10.18154/rwth-2021-10388
fatcat:eydbx5q63nhqph3xsvqywfqx7y
Overview of the Versatile Video Coding (VVC) Standard and its Applications
2021
IEEE transactions on circuits and systems for video technology (Print)
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It is explained how these new features in VVC provide greater versatility for applications. ...
., for scalability. Furthermore, early implementations are presented to show that the new VVC standard is implementable and ready for real-world deployment. ...
ACKNOWLEDGEMENT The authors thank the experts of ITU-T VCEG, ISO/IEC MPEG, and their ITU-T/ISO/IEC Joint Video Experts Team for their contributions, not only to the new VVC standard, but also to a large ...
doi:10.1109/tcsvt.2021.3101953
fatcat:ntd52vthozg7hifyrvkk5jyh7m
Generative Visual Compression: A Review
[article]
2024
arXiv
pre-print
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In addition, we generalize related generative compression technologies for machine vision and intelligent analytics. ...
Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the acquisition of digital content and impelling the progress of visual compression towards competitive performance ...
CONCLUSIONS This paper has made a comprehensive review on generative visual compression for both human and machine visions. ...
arXiv:2402.02140v1
fatcat:lexq544j4ra5lpukypadlkcfxi
Recent Advances in Rate Control: From Optimization to Implementation and Beyond
[article]
2022
arXiv
pre-print
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Finally, we discuss future directions and new application areas for RC methods. ...
Video coding is a video compression technique that compresses the original video sequence to achieve a smaller archive file or a lower transmission bandwidth under constraints on the visual quality loss ...
RC methods based on machine learning and deep learning Machine learning (ML) and deep learning (DL) techniques are widely acknowledged as important tools for analysing and processing massive amounts of ...
arXiv:2205.10815v1
fatcat:6fy7e4bn6vgkbifsszb4xkp4ja
Learned Fast HEVC Intra Coding
[article]
2020
arXiv
pre-print
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In High Efficiency Video Coding (HEVC), excellent rate-distortion (RD) performance is achieved in part by having a flexible quadtree coding unit (CU) partition and a large number of intra-prediction modes ...
First, we design a low-complex shallow asymmetric-kernel CNN (AK-CNN) to efficiently extract the local directional texture features of each block for both fast CU partition and fast intra-mode decision ...
[8] proposed splitting a CU based on the number of high-frequency key points. Recently, several machine learning approaches [13] - [23] have been proposed for fast CTU partition. ...
arXiv:1907.02287v2
fatcat:gc6cibik7bglllf4emvfrt5as4
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TMM 2021 4326-4340 Decision making Emotion Attention-Aware Collaborative Deep Reinforcement Learning for Image Cropping. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
Machine Learning for Multimedia Communications
2022
Sensors
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Machine learning is revolutionizing the way multimedia information is processed and transmitted to users. ...
For example, the high model capacity of the learning-based architectures enables us to accurately model the image and video behavior such that tremendous compression gains can be achieved. ...
This has led to new video coding standards for encoding visual data for humans (HEVC, VVC) or machines (MPEG activity on Video Coding for Machines), novel multimedia formats like point clouds, and support ...
doi:10.3390/s22030819
pmid:35161566
pmcid:PMC8840624
fatcat:nmz7s6ei3bdddarbt2bqhf6beu
Deep Learning-Based Video Coding: A Review and A Case Study
[article]
2019
arXiv
pre-print
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Both tools help improve the compression efficiency by a significant margin. ...
In the hope of advocating the research of deep learning-based video coding, we present a case study of our developed prototype video codec, namely Deep Learning Video Coding (DLVC). ...
ACKNOWLEDGMENT This work is supported by the Natural Science Foundation of China under Grant 61772483. ...
arXiv:1904.12462v1
fatcat:cgcmwylwnvd67abpl6wders5hy
Advances In Video Compression System Using Deep Neural Network: A Review And Case Studies
[article]
2021
arXiv
pre-print
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On coding, we present an end-to-end neural video coding framework that takes advantage of the stacked DNNs to efficiently and compactly code input raw videos via fully data-driven learning. ...
On pre-processing, we show a switchable texture-based video coding example that leverages DNN-based scene understanding to extract semantic areas for the improvement of subsequent video coder. ...
From a different perspective, most compressed videos will be ultimately consumed by human beings or interpreted by machines, for subsequent task decisions. ...
arXiv:2101.06341v1
fatcat:63vikavtpnb3dilixbakkcbwnq
Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies
2021
Proceedings of the IEEE
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This article targets video coding improvements for both individual blocks of the hybrid video encoder and jointly across multiple blocks including end-to-end approaches. ...
It reviews various modules in video coding that could benefit from neural networks and provides case studies for each of these modules. ...
From a different perspective, most compressed videos will be ultimately consumed by human beings or interpreted by machines, for subsequent task decisions. ...
doi:10.1109/jproc.2021.3059994
fatcat:jlwrl7q7ufg5jjl3sptr2ero44
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