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检索条件"任意字段=2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023"

共 4813 条记录，以下是471-480 订阅

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computer image processing Technology on Reconstruction of Shadow Puppets in Jianghan Plain 3

Computer Image Processing Technology on Reconstruction of Sh...

引用

3rd ieee international conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023

作者： Han, Shuang School of Art and Design Wuhan Textile University Wuhan China

ISBN: (纸本)9798350333862

With the rapid development of digital technology and internet technology, virtual reality, human-computer interaction, and database sources have attracted the attention of young people. Digitalization and visualization have become manifestations of new traffic, which not only brings great impact to the protection and development of traditional intangible cultural heritage but also brings tremendous vitality. Combining the basic characteristics of computer technology, research, and analysis on the application of image extraction technology are conducted in shadow puppetry in the Jianghan Plain with relevant algorithms for graphic extraction. Based on digital image processing technology, the shape, color, and other aspects of shadow puppetry images are extracted. Accurate and objective recognition and digital preservation are achieved, improving the efficiency and accuracy of shadow puppetry element extraction. The research result promotes the application level of image contour extraction and helps improve image processing efficiency. By combining traditional shadow puppetry art with modern computers, this traditional folk art is better and faster developed and reborn to obtain significant inheritance and protection. © 2023 ieee.

关键词： image segmentation

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Feature-Guided Machine-Centric image Coding for Downstream Tasks

Feature-Guided Machine-Centric Image Coding for Downstream T...

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2023 ieee international conference on Multimedia and Expo Workshops, ICMEW 2023

作者： Kwak, Sangwoon Yun, Joungil Choo, Hyon-Gon Kim, Munchurl Electronics and Telecommunications Research Institute Korea Republic of Korea Advanced Institute of Science and Technology Korea Republic of

ISBN: (纸本)9798350313154

Video coding, a process of compressing and decompressing digital video content, has traditionally been optimized for human visual systems by reducing its size while maintaining the human perceptual quality. However, with the remarkable progress of artificial intelligence (AI) technology, the need for machine-centric coding has rapidly been increasing in recent years. In response to these trends, international standardization organizations such as MPEG are actively working to develop and launch new standards on coding technologies for machines, called video coding for machines (VCM). In this paper, we present a novel feature-guided block-wise image blending method for image compression, which is suitable for machine applications such as object detection and segmentation. For this, we use a gradient map of the feature loss using the pretrained encoder part of a task-specific network as guide for input degradation, so that the degraded input images can be effectively compressed for machine-centric tasks. Our method is simple but effective because additional training is not required by utilizing the pretrained encoder parts of networks for targeted tasks. Experimental results show that BD-rate gains can be obtained by applying our proposed method with averages 11% and 8% for object detection and instance segmentation tasks, respectively, compared to the image anchor results of MPEG-VCM reference software v0.4. © 2023 ieee.

关键词： computer vision

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Enhanced Video Streaming Based Computing Encoder for Digital Visual processing 2

Enhanced Video Streaming Based Computing Encoder for Digital...

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2nd ieee international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Kumar, Tarun Shukla, Amita Galgotias University Department of Computer Science and Engineering Greater Noida India Noida Institute of Engineering and Technology Department of Computer Science and Business System Greater Noida India

ISBN: (纸本)9798350347456

The rise of video streaming for digital visual processing has been a boon for the industry of visual processing. Video streaming technology has made it easier for companies to capture, analyze, and interpret visual data faster than ever before. It has allowed for the storage and transmission of large amounts of visual data at high speeds, providing businesses with the ability to process and interpret this data in real-time. Video streaming technology can be used in a wide variety of applications, including facial recognition, 3D mapping, and object recognition. By streaming video data, companies can quickly and accurately identify individuals, recognize objects, and track movement. This technology can also be used in security applications, such as surveillance and monitoring, as well as in medical imaging, such as MRI and CT scans. Video streaming technology has also allowed companies to create more efficient visual processing systems. The streaming video data can be used to automate the process of image recognition and object classification. This has allowed companies to reduce the amount of time and effort needed to interpret visual data. Additionally, streaming video data can be used to create virtual reality experiences, providing users with an immersive experience when viewing digital images. © 2023 ieee.

关键词： Video streaming

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CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology image Representation

CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neig...

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ieee/CVF international conference on computer Vision (ICCV)

作者： Nakhli, Ramin Zhang, Allen Mirabadi, Ali Rich, Katherine Asadi, Maryam Gilks, Blake Farahani, Hossein Bashashati, Ali Univ British Columbia Vancouver BC Canada

ISBN: (纸本)9798350307184

Predicting survival rates based on multi-gigapixel histopathology images is one of the most challenging tasks in digital pathology. Due to the computational complexities, Multiple Instance Learning (MIL) has become the conventional approach for this process as it breaks the image into smaller patches. However, this technique fails to account for the individual cells present in each patch, while they are the fundamental part of the tissue. In this work, we developed a novel dynamic and hierarchical point-cloud-based method (CO-PILOT) for the processing of cellular graphs extracted from routine histopathology images. By using bottom-up information propagation and top-down conditional attention, our model gains access to an adaptive focus across different levels of tissue hierarchy. Through comprehensive experiments, we demonstrate that our model can outperform all the state-of-the-art methods in survival prediction, including the hierarchical Vision Transformer ( ViT), across three datasets and four metrics with only half of the parameters of the closest baseline. Importantly, our model is able to stratify the patients into different risk cohorts with statistically different outcomes across three large datasets, a task that was previously achievable only using genomic information. Furthermore, we publish a large dataset containing 873 cellular graphs from 188 patients, along with their survival information, making it one of the largest publicly available datasets in this context.

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Enhanced DFT-Based Chaotic image Block Cipher with Several Modes of Operation 12

Enhanced DFT-Based Chaotic Image Block Cipher with Several M...

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12th international conference on image processing Theory, Tools and applications, IPTA 2023

作者： Yassin, Mahmoud Y. M. Nasir, Ali A. Taha, Mostafa Iqbal, Naveed Department of Electrical Engineering Dhahran Saudi Arabia Center for Communication Systems and Sensing Kfupm Dhahran Saudi Arabia Carleton University Systems and Computer Engineering OttawaON Canada

ISBN: (纸本)9798350325416

Chaotic image encryption has been investigated extensively in the literature in different domains, including the frequency domain using Discrete Fourier Transform (DFT). Despite DFT-based chaotic image cryptosystems exhibiting good confusion properties, they suffer from poor diffusion characteristics and non-uniform histograms. Therefore, they are vulnerable to many attacks, such as differential attacks, and statistical cryptanalytic attacks. This paper presents an enhanced block cipher image cryptosystem with several modes of operation based on the concept of bit reversal using the 2D chaotic Baker map and DFT. The proposed enhancement develops an improved image encryption scheme that involves properly diffusion-confusion enhanced operations within modified versions of the known block cipher modes of operation, namely Cipher Block Chaining Mode (CBC), Cipher Feedback Mode (CFB), and Output Feedback Mode (OFB). These enhanced operations are based on a 2D chaotic baker map in the Fourier domain. The proposed enhancement is validated using a MATLAB simulation. Results show that the proposed work manages to overcome the abovementioned problems outstandingly and outperforms the existing results in the literature in many encryption quality metrics. © 2023 ieee.

关键词： Discrete Fourier transforms

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A Highly Available Database System Based on Load Balancing Functionality

A Highly Available Database System Based on Load Balancing F...

引用

image processing and computer applications (icipca), ieee international conference on

作者： An Ning Chengdu Polytechnic Chengdu China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

This article proposes a highly available database system based on load balancing functionality. The system achieves real-time data synchronization, eliminating the need for separate read/write operations at the application layer. Database read and write requests are distributed among nodes according to predefined rules, ensuring workload distribution. Keepalived and HAProxy are used to achieve high availability and load balancing of services, preventing single point of failure, and accomplishing high availability and load balancing of the database cluster. This architecture can serve as the backend database storage for business systems, providing high availability and ensuring data security.

关键词： image processing Data security Distributed databases computer architecture computer applications Load management Database systems Real-time systems Synchronization Testing

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Staged Progressive Single image Generative Adversarial Network 3

Staged Progressive Single Image Generative Adversarial Netwo...

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3rd international conference on Electronic Information Engineering and computer Communication, EIECC 2023

作者： Cai, Qiang Xiong, Shaohua Wang, Chen Li, Ziyao School of Computer and Artificial Intelligence Beijing Technology and Business University Beijing China

ISBN: (纸本)9798350359961

This paper focuses on exploring unconditional generative model training methods for single image learning and proposes a new staged progressive single image generative adversarial network (SPSI-GAN). By conducting staged multiscale training on a single image, we gradually learn the feature block information of different areas within the image and pay more systematic attention to the overall structure of the image, the basic outline of the scene, and the details of the content. Experiments verified the application effect of this method in multiple image tasks and compared it with other mainstream methods. This method shows excellence in generated image quality and feature distribution and could improve training efficiency and performance metrics while maintaining high quality generated images. © 2023 ieee.

关键词： Generative Adversarial Network image processing Single-image learning

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Research on Elderly Services Based on Matlab image processing and SPSSPRO 6

Research on Elderly Services Based on Matlab Image Processin...

引用

2023 ieee 6th international conference on Information Systems and computer Aided Education, ICISCAE 2023

作者： Yang, Yijin North University of China Shanxi Taiyuan China

ISBN: (纸本)9798350313444

At present, the trend of aging in China is getting more and more serious, and it is of great significance to predict the number of beds demanded by the elderly. In this paper, we firstly investigated and analyzed, we chose the number of the elderly population, the "elderly model 9037", the constant level of Chinese household consumption and the degree of self-reliance of the elderly as the variables of the model of the demand for elderly service beds. By reviewing the number of elderly population and the number of labor employment in China from 2009-2018 using polynomial fitting to reasonably predict the values of the two variables for each year from 2019-2025, substituting them into the model of demand for senior care service beds to derive the values of the demand for senior care service beds. Secondly, the model of balance of payments and revenues is established to consider the costs and revenues, and the amount of revenues and expenditures is calculated according to the different types of elderly people. The potential revenue in different years is calculated to quantify the size of the market opportunity. Meanwhile, to further address the current situation of the prominent contradiction between supply and demand of elderly facilities in Jiancaoping District, Taiyuan City, this paper utilizes Matlab image processing technology and SPSSPRO software to carry out K-mean clustering algorithm, and designs a reasonable planning scheme for the elderly facilities in the district. © 2023 ieee.

关键词： 9037 Pension Model K-mean Clustering Algorithm Matlab image processing Polynomial Fitting SPSSPRO

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Adaptive Entropy Coding of Graph Transform Coefficients for Point Cloud Attribute Compression

Adaptive Entropy Coding of Graph Transform Coefficients for ...

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2023 ieee international conference on Visual Communications and image processing, VCIP 2023

作者： Meyer, Thibaut Mehlem, Dominik Rohlfing, Christian RWTH Aachen University Institut für Nachrichtentechnik Germany

ISBN: (纸本)9798350359855

A point cloud's attributes constitutes most of its information content. This is why their efficient compression is of great importance when designing a compression scheme. In this paper, the entropy coding stage of an existing compression method is replaced using Context-based Adaptive Binary Arithmetic Coding (CABAC), which is already largely used for video compression applications. Additionally, the DC transform coefficients are quantized with Differential Pulse Code Modulation (DPCM), yielding better performance at lower bit rates. By using predictive coding and coding techniques adapted to the signal's characteristics, Bjontegaard Delta rate savings of up to 31.38% are observable in comparison to previously used entropy coding methods. © 2023 ieee.

关键词： image compression

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UAV aerial image segmentation method based on improved U-Net

UAV aerial image segmentation method based on improved U-Net

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2023 international conference on computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2023

作者： Gao, Bin Chinese Flight Test Establishment Xi'an China

ISBN: (纸本)9781510677685

With the rapid development of UAV technology, the demand for image recognition segmentation acquired from the air is gradually growing. In this paper, we propose an improved U-Net architecture designed to enhance the effectiveness of UAV image segmentation tasks. Firstly, the traditional convolution module is replaced by a depth-separable convolution to reduce the number of parameters and computational cost and to improve the lightweight performance of the model;secondly, an Axial Attention mechanism is introduced to enhance the model's ability to capture long-range dependencies and spatial information;and finally, the Focal Loss is employed to solve the category imbalance problem. We conducted extensive experimental evaluations on the Aeroscapes dataset containing images captured by UAVs from different altitudes, and the experimental results show that the improved U-Net model exhibits significant improvements in the UAV image segmentation task compared to the traditional U-Net model. Our model improves 6.7% in miou and 2.7% in precision by 2.9% and 3.3% in F1 score. Thus, the method proposed in this paper has potential applications for improving the automation and accuracy of aerial image analysis. © 2024 SPIE.

关键词： image segmentation

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