Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based decoding algorithms with perceptual me...
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ISBN:
(纸本)9781713871088
Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based decoding algorithms with perceptual metrics that serve as optimization objectives. But investigations of the performance of modern video- and image-quality metrics commonly employ videos compressed using older standards, such as AVC. In this paper, we present a new benchmark for video-quality metrics that evaluates video compression. It is based on a new dataset consisting of about 2,500 streams encoded using different standards, including AVC, HEVC, AV1, VP9, and VVC. Subjective scores were collected using crowdsourced pairwise comparisons. The list of evaluated metrics includes recent ones based on machine learning and neural networks. The results demonstrate that new no-reference metrics exhibit high correlation with subjective quality and approach the capability of top full-reference metrics.
The paper considers the problem of clustering pixels of a color raster image. The task is to compare the effectiveness of three different clustering methods: k-means, DBSCAN, agglomerative clustering. The k-means and ...
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ISBN:
(数字)9798331532178
ISBN:
(纸本)9798331532185
The paper considers the problem of clustering pixels of a color raster image. The task is to compare the effectiveness of three different clustering methods: k-means, DBSCAN, agglomerative clustering. The k-means and agglomerative clustering algorithms consider different numbers of clusters: 2, 5, 10, 15, 20. The effectiveness is assessed using the SSIM metric and visual analysis of the resulting images.
High cost of environmental interaction and low data efficiency limit the development of reinforcement learning in robotic grasping. This paper proposes an end-to-end robotic grasping method based on offline reinforcem...
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In this paper a new infrared and visible image fusion (IVIF) method which combines the advantages of optimization and deep learning based methods is proposed. This model takes the iterative solution used by the altern...
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ISBN:
(纸本)9781665462198
In this paper a new infrared and visible image fusion (IVIF) method which combines the advantages of optimization and deep learning based methods is proposed. This model takes the iterative solution used by the alternating direction method of the multiplier (ADMM) optimization method, and uses algorithm unrolling to obtain a high performance and efficient algorithm. Compared with traditional optimization methods, this model generates fusion with 99.6% improvement in terms of image fusion time, and compared with deep learning based algorithms, this model generates detailed fusion images with 99.1% improvement in terms of training time. Compared with the other state-of-the-art unrolling based methods, this model performs 26.7% better on average in terms of Average Gradient (AG), Cross Entropy (CE), Mutual Information (MI), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Loss (SSIM) metrics with a minimal testing time cost.
Cryptography based on the properties such as unpredictability and initial state sensitivity of chaotic systems is a strategy to improve the security of image encryption algorithms. In this paper, a Logistic Coupled wi...
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ISBN:
(数字)9781510650435
ISBN:
(纸本)9781510650435;9781510650428
Cryptography based on the properties such as unpredictability and initial state sensitivity of chaotic systems is a strategy to improve the security of image encryption algorithms. In this paper, a Logistic Coupled with Sine (LCS) chaotic map is proposed, and it turns out that the proposed map has more complex behaviors than existing chaotic maps in terms of performance analyses. Furthermore, as a potential application, an efficient and effective image encryption algorithm is proposed based on the keystreams generated by this LCS map. In the encryption algorithm, for a given plain image, it is split by the parity of indices of image rows first, and then a new confusion-diffusion strategy is proposed to scramble and diffuse thoroughly the elements of these two divided parts of the image. The security analyses indicate that the proposed encryption algorithm has excellent statistical properties, high security and efficiency for image encryption.
The recent exponential surge in the number of vehicles on our roadways has made congestion and violations important problems. By automating traffic management using an ALPR system, we can improve access control system...
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ISBN:
(数字)9798350361780
ISBN:
(纸本)9798350361797
The recent exponential surge in the number of vehicles on our roadways has made congestion and violations important problems. By automating traffic management using an ALPR system, we can improve access control systems, streamline traffic flow, and save time. Here, we look at how well algorithms for edge processing and morphological processing perform. The parameters of the neural network, including the regularisation parameter, the count of hidden layer units, and the count of iterations, are optimised with great care. With a focus on real-time implementation and control via a graphical user interface, this case presents a parking security system suitable for usage in office buildings, institutions, malls, etc. Operating on Raspberry Pi 2B and Matlab, the system accomplishes a 97% efficiency rate through the use of imageprocessing techniques and machine learning algorithms.
The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad...
ISBN:
(纸本)9783031615818
The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad Hoc Networks (VANET);collaborative Robot Laboratory Setup for Repeatable Force and Speed Experiments;towards Global Sustainability: Exploratory Analysis Through Unsupervised Machine Learning Techniques;structural Kinematic Analysis of a Wheelchair Mechanism Designed for Disabled Persons;application of Graph Theory in Designing the Communication System of a Robotic Production Cell;machine Learning algorithms in Scheduling Problems: An Overview and Future Paths;on the Relation Between the Smith Predictor and Algebraic Control Approach for Time Delay systems: A Case Study;image as a Way of processing Multidimensional Production Data for Product Quality Prediction Using Deep Learning;OPC-UA in Digital Twins—A Performance Comparative Analysis;design Improvements for an Inspection Rover;decoding the Effect of Descriptive Statistics on Informed Decision-Making;Simulation Control of Three-Tank-System Using 2DOF Controller;development of a Serious Game to Support Alzheimer’s Patients: First Insights;e-voting Platform Based on Blockchain;the Transformation of Maintenance with the Arise of Industry 4.0;real-World Comparison of Predictive Controllers Based on Internal and External Description of the Controlled System;the Use of Virtual Reality in Lower-Limb Robotic Rehabilitation;the Contribution of Photovoltaic systems to Sustainable Agriculture—An Analysis of Agrivoltaic systems;integration of Augmented Reality and IoT Elements in the Maintenance 4.0;A Fuzzy Logic-Based Risk Assessment Tool for IT Startups;wireless Localization System Applied to a Kitting Pick-to-light System;Posture Correction Device Based on IMU Sensors and CNN.
The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad...
ISBN:
(纸本)9783031615740
The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad Hoc Networks (VANET);collaborative Robot Laboratory Setup for Repeatable Force and Speed Experiments;towards Global Sustainability: Exploratory Analysis Through Unsupervised Machine Learning Techniques;structural Kinematic Analysis of a Wheelchair Mechanism Designed for Disabled Persons;application of Graph Theory in Designing the Communication System of a Robotic Production Cell;machine Learning algorithms in Scheduling Problems: An Overview and Future Paths;on the Relation Between the Smith Predictor and Algebraic Control Approach for Time Delay systems: A Case Study;image as a Way of processing Multidimensional Production Data for Product Quality Prediction Using Deep Learning;OPC-UA in Digital Twins—A Performance Comparative Analysis;design Improvements for an Inspection Rover;decoding the Effect of Descriptive Statistics on Informed Decision-Making;Simulation Control of Three-Tank-System Using 2DOF Controller;development of a Serious Game to Support Alzheimer’s Patients: First Insights;e-voting Platform Based on Blockchain;the Transformation of Maintenance with the Arise of Industry 4.0;real-World Comparison of Predictive Controllers Based on Internal and External Description of the Controlled System;the Use of Virtual Reality in Lower-Limb Robotic Rehabilitation;the Contribution of Photovoltaic systems to Sustainable Agriculture—An Analysis of Agrivoltaic systems;integration of Augmented Reality and IoT Elements in the Maintenance 4.0;A Fuzzy Logic-Based Risk Assessment Tool for IT Startups;wireless Localization System Applied to a Kitting Pick-to-light System;Posture Correction Device Based on IMU Sensors and CNN.
In computer graphics systems, cropping applications appear to be quite simple from a human perspective as human eyes can easily visualize whether a portion of the picture is inside or outside. However, from a computat...
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The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad...
ISBN:
(纸本)9783031626838
The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad Hoc Networks (VANET);collaborative Robot Laboratory Setup for Repeatable Force and Speed Experiments;towards Global Sustainability: Exploratory Analysis Through Unsupervised Machine Learning Techniques;structural Kinematic Analysis of a Wheelchair Mechanism Designed for Disabled Persons;application of Graph Theory in Designing the Communication System of a Robotic Production Cell;machine Learning algorithms in Scheduling Problems: An Overview and Future Paths;on the Relation Between the Smith Predictor and Algebraic Control Approach for Time Delay systems: A Case Study;image as a Way of processing Multidimensional Production Data for Product Quality Prediction Using Deep Learning;OPC-UA in Digital Twins—A Performance Comparative Analysis;design Improvements for an Inspection Rover;decoding the Effect of Descriptive Statistics on Informed Decision-Making;Simulation Control of Three-Tank-System Using 2DOF Controller;development of a Serious Game to Support Alzheimer’s Patients: First Insights;e-voting Platform Based on Blockchain;the Transformation of Maintenance with the Arise of Industry 4.0;real-World Comparison of Predictive Controllers Based on Internal and External Description of the Controlled System;the Use of Virtual Reality in Lower-Limb Robotic Rehabilitation;the Contribution of Photovoltaic systems to Sustainable Agriculture—An Analysis of Agrivoltaic systems;integration of Augmented Reality and IoT Elements in the Maintenance 4.0;A Fuzzy Logic-Based Risk Assessment Tool for IT Startups;wireless Localization System Applied to a Kitting Pick-to-light System;Posture Correction Device Based on IMU Sensors and CNN.
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