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Hierarchical Classification for Complexity Reduction in HEVC Inter Coding
2020
IEEE Access
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In order to adapt to various real-time applications, fast coding algorithms for high efficiency video coding (HEVC) standard maintain a hot research topic in recent years. ...
In this paper, a complexity reduction algorithm based on hierarchical classification for HEVC inter coding is proposed. ...
His research interests include high efficiency video coding, perceptual coding, video codec optimization, 3D TV, and video quality assessment. ...
doi:10.1109/access.2020.2977422
fatcat:rfdzgprpo5f7nonq4xglvu7kdu
CNN-LSTM Learning Approach-Based Complexity Reduction for High-Efficiency Video Coding Standard
2021
Scientific Programming
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High-Efficiency Video Coding provides a better compression ratio compared to earlier standard, H.264/Advanced Video Coding. ...
Towards this goal, we propose in this paper a deep learning model-based fast mode decision algorithm for HEVC intermode. ...
In [20] , Li et al. proposed a CU early termination based on reinforcement learning to reduce the computational complexity for HEVC. ...
doi:10.1155/2021/6628041
fatcat:6pydhvpl6fdcdbvwivnxcbzmsu
A Deep CNN-LSTM Framework for Fast Video Coding
[chapter]
2020
Lecture Notes in Computer Science
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High Efficiency Video Coding (HEVC) doubles the compression rates over the previous H.264 standard for the same video quality. ...
To improve the coding efficiency, HEVC adopts the hierarchical quadtree structured Coding Unit (CU). ...
In this study, an end-to-end actor-critic RL based CU early termination algorithm for HEVC was developed to improve the coding complexity [11] . ...
doi:10.1007/978-3-030-51935-3_22
fatcat:ths4oelz7nahvjxbcjzj4hvew4
Fast CU Partition Decision Algorithm for VVC Intra Coding Using an MET-CNN
2022
Electronics
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Finally, a fast CU partition decision algorithm for VVC intra coding based on an MET-CNN is proposed. ...
Different from the previous generation standard—high-efficiency video coding (HEVC/H.265)—VVC adopts a more flexible block division structure, the quad-tree with nested multi-type tree (QTMT) structure ...
High-efficiency video coding (HEVC/H.265), as the previous generation video coding standard, is no longer enough to meet the growing demand [2] . ...
doi:10.3390/electronics11193090
fatcat:esjljzpsina6tb7ygx6hfas7bq
A Complexity Reduction Method for VVC Intra Prediction Based on Statistical Analysis and SAE-CNN
2021
Electronics
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Compared with High Efficiency Video Coding (HEVC), the latest video coding standard Versatile Video Coding Standard (VVC), due to the introduction of many novel technologies and the introduction of the ...
Due to the introduction of the QTMT scheme, the encoder needs to perform rate–distortion optimization for each division mode during Coding Unit (CU) division, so as to select the best division mode, which ...
[14] suggested a block partition decision algorithm based on deep reinforcement learning (RL). ...
doi:10.3390/electronics10243112
fatcat:npro7w6if5ep5abo5u66rs6aq4
CTU Depth Decision Algorithms for HEVC: A Survey
[article]
2021
arXiv
pre-print
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High-Efficiency Video Coding (HEVC) surpasses its predecessors in encoding efficiency by introducing new coding tools at the cost of an increased encoding time-complexity. ...
In this paper, existing CTU depth decision algorithms for HEVC are surveyed. These algorithms are categorized into two groups, namely statistics and machine learning approaches. ...
Acknowledgment The financial support of the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development, and the Christian Doppler Research ...
arXiv:2104.08328v2
fatcat:fu6hsqce5vg5leprdd7vwhxw7a
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 ...
In this paper, we propose a learned fast HEVC intra coding (LFHI) framework taking into account the comprehensive factors of fast intra coding to reach an improved configurable tradeoff between coding ...
Index Terms-High Efficiency Video Coding (HEVC), fast intra coding, convolutional neural network (CNN).
I. ...
arXiv:1907.02287v2
fatcat:gc6cibik7bglllf4emvfrt5as4
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors
[article]
2021
arXiv
pre-print
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To facilitate research in this direction, we introduce the MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. ...
At the end of each round, competitors will submit containerized versions of their learning algorithms and they will then be trained/evaluated from scratch on a hold-out dataset-environment pair for a total ...
We request poster stands or materials for hanging the posters of the Round 2 participants. ...
arXiv:1904.10079v3
fatcat:n3xfk2fyfnhe7l5oafdmccfbza
Evolutionary adaptive eye tracking for low-cost human computer interaction applications
2013
Journal of Electronic Imaging (JEI)
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The evolutionary algorithm is responsible for exploring the genotype control space, and the reinforcement learning algorithm organizes the evolved genotype into a reactive phenotype. ...
Then, the reinforcement learning algorithm defines internal states in a phenotype control space limited by the perceived genetic code and carries out interactive adaptations. ...
a high computation time for learning by experience. ...
doi:10.1117/1.jei.22.1.013031
fatcat:ww6t6wh7tbbdnhmlxtkwgxczxu
Reversely Discovering and Modifying Properties Based on Active Deep Q-Learning
2020
IEEE Access
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Our ultimate objective is to improve automatic debug for software and cloud services. ...
RMDQN (a Reverse Method based on our active Deep Q-Networks) is proposed to deal with the problem, and an active DQN is invented to make the reverse procedure automatic and intelligent. ...
The paper used neural network based deep learning and Levenberg-Marquardt training algorithm for resource allocation prediction. G. ...
doi:10.1109/access.2020.3019278
fatcat:vbcdj2zsnzaxpcbu3uae2awz4e
A Review of Deep Learning in 5G Research: Channel Coding, Massive MIMO, Multiple Access, Resource Allocation, and Network Security
2021
IEEE Open Journal of the Communications Society
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However, there is still a demand concerning 5G research for service and performance improvement. ...
Due to the advancement of deep learning, numerous such research has utilized this technique. This article provides a comprehensive review of 5G communications research using deep learning. ...
the existing algorithms by causing high energy efficiency while maintaining a similar quality of service. ...
doi:10.1109/ojcoms.2021.3058353
fatcat:vqyfhhm4gnb4po4nhtjch7dlpe
One Big Net For Everything
[article]
2018
arXiv
pre-print
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learning of additional, novel but algorithmically related skills. ...
ONE is unusual in the sense that it is trained in various ways, e.g., by black box optimization / reinforcement learning / artificial evolution as well as supervised / unsupervised learning. ...
For example, we may give ONE another set of q special output units and train them through unsupervised learning [62] to produce for t ≤ t T a vector code(t) ∈ R q that represents an ideal factorial code ...
arXiv:1802.08864v1
fatcat:o42i22wurvhnlbaq6hpedbjqi4
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
[article]
2020
arXiv
pre-print
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A reinforcement learning agent, a simulated quadrotor in our case, has trained with the Policy Proximal Optimization(PPO) algorithm was able to successfully compete against another simulated quadrotor ...
Using opponent drone GPS information during training helps dealing with complex state spaces, serving as expert guidance allows for efficient and stable training process. ...
[7] Deep Reinforcement Learning Deep Reinforcement Learning (DRL) has achieved great success on sequential task problems involving high dimensional sensory inputs such as RGB images or actual physical ...
arXiv:2007.05694v1
fatcat:a7dgnt24ubacfld4dle75pfddm
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
[article]
2021
arXiv
pre-print
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in real systems by integrating deep learning algorithms into the mobile vision platform to achieve the closed loop of intelligent acquisition, processing and decision making, thus leading to the next ...
Differently, Computational Imaging (CI) systems are designed to capture high-dimensional data in an encoded manner to provide more information for mobile vision systems.Thanks to AI, CI can now be used ...
a deep learning based algorithm. ...
arXiv:2109.08880v1
fatcat:nbwyxsweljagpb43nzwpk3lf7y
Bagged Tree and ResNet-Based Joint End-to-End Fast CTU Partition Decision Algorithm for Video Intra Coding
2022
Electronics
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Video coding standards, such as high-efficiency video coding (HEVC), versatile video coding (VVC), and AOMedia video 2 (AV2), achieve an optimal encoding performance by traversing all possible combinations ...
To reduce the complexity of the coding block partition in HEVC, a new end-to-end fast algorithm is presented to aid the partition structure decisions of the coding tree unit (CTU) in intra coding. ...
[37] proposed an efficient low-complexity intra coding algorithm for VVC by using learning-based classifiers. ...
doi:10.3390/electronics11081264
fatcat:3z7m5wcebfg25lexbs3lka3i44
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