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检索条件"任意字段=7th International Conference on Computer and Information Processing Technology, ISCIPT 2022"

共 4198 条记录，以下是31-40 订阅

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Research progress and trend analysis of object tracking technology based on CiteSpace 7

Research progress and trend analysis of object tracking tech...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Yu, Liang Qingdao University of Technology School of Information and Control Engineering Qingdao China

ISBN: (纸本)9781665478571

Object tracking technology is an important research direction in the field of computer vision, and nowadays, it has played an increasingly indispensable role in the fields of intelligent surveillance, modern military, human-computer interaction, intelligent transportation, etc. While making breakthroughs, it has also brought great convenience to people's lives. In this paper, CiteSpace information visualization software is used to visualize the object tracking research literature based on nearly 10,000 papers in the field of object tracking from 2001 to 2021. From the bibliometric perspective, the visual knowledge graphs of information on three aspects of object tracking technology: scientific cooperation, research fields, and recent progress are analyzed, in which the analysis of scientific cooperation includes the distribution of countries and institutions, the analysis of research fields includes the distribution of categories and keywords, and the analysis of recent progress and frontiers includes the distribution of references and the analysis of keyword timeline graph. then, we present the three main problems and challenges facing this technology: changes of illumination and color, changes of scene and posture, and the distinction between foreground and background. And three targeted suggestions are proposed for feature fusion, 3D reconstruction, and deeper development based on Siamese Network in deep learning algorithms. Finally, the future development of object tracking technology has been prospected. © 2022 IEEE.

关键词： computer vision

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Research and Application of Human-computer Interface Based on User Experience 7

Research and Application of Human-Computer Interface Based o...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Jiao, Zhinan Hubei University of Technology School of Art and Design China

ISBN: (纸本)9781665478571

human-computer interaction design as the research object, combined with the father of Ajax Jesse James Garrett human-computer interaction design process, from the human-computer interaction operation single, computer program workers professional lack and human-computer interaction experience, based on the user experience of electronic product interaction design theory research on the basis of industrial product design application. the aim is to improve the human-computer interface interaction relationship of design objects from the function of computer electronic design, and put forward a design method combining user experience with user experience by using industrial design methods and means, combined with the current development trend of user experience. the design results of human-computer interaction interface based on user experience are summarized to promote the establishment of data and information processing model and improve the market competitiveness of the software platform. this design case has a good reference value for further improving the practical application of human-computer interaction design of electromechanical products. © 2022 IEEE.

关键词： Product design

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Towards Query by Text Example for Pattern Spotting In Historical Documents 7

Towards Query by Text Example for Pattern Spotting In Histor...

引用

7th international conference on computer Science and information technology (CSIT)

作者： Cheddad, Abbas Blekinge Inst Technol BTH Dept Comp Sci & Engn Karlskrona Sweden

ISBN: (纸本)9781467389136

Historical documents are essentially formed of handwritten texts that exhibit a variety of perceptual environment complexities. the cursive and connected nature of text lines on one hand and the presence of artefacts and noise on the other hand hinder achieving plausible results using current image processing algorithm. In this paper, we present a new algorithm which we termed QTE (Query by Text Example) that allows for training-free and binarisation-free pattern spotting in scanned handwritten historical documents. Our algorithm gives promising results on a subset of our database revealing similar to 83% success rate in locating word patterns supplied by the user.

关键词： image processing pattern recognition historical documents handwritten Hessian filter SURF

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Acoustic Analysis of Monophthongs in Tibetan of Yushu Dialect 7

Acoustic Analysis of Monophthongs in Tibetan of Yushu Dialec...

引用

7th international conference on computer and information processing technology, iscipt 2022

作者： Li, Lingzhen Li, Yonghong Northwest Minzu University China National Information Technology Research Institute Lanzhou China

Based on experimental phonetics, this paper further reveals the acoustic characteristics of monophthongs of Tibetan in Yushu dialect with the help of Adobe Audition 3.0, Praat and other speech analysis software. Firstly, the spectrogram is analyzed and the vowel acoustic parameters are extracted;Secondly, the formant pattern diagram and acoustic vowel diagram of Yushu dialect are drawn by using the values of F1, F2 and F3, which clearly reflect the acoustic characteristics and spatial distribution position of Yushu dialect monophthongs and the relationship between F1, F2, F3 and vowel acoustic characteristics. It is concluded that the lower the tongue position is, the larger value of F1 will be, and vice versa, the smaller value of F1 will be;the more anterior the tongue is, the larger value of F2 is;on the contrary, the smaller value of F2 is;the round lip effect can reduce the F2 value. © 2022 Copyright for this paper by its authors.

关键词： Linguistics

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Research on 3D reconstruction technology based on the fusion of polarization imaging and light field depth information 7

Research on 3D reconstruction technology based on the fusion...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Yuan, Lin Gao, Jun Wang, Xin Cui, Hao Hefei University of Technology School of Computer and Information Hefei China

ISBN: (纸本)9781665478571

For objects with smooth surface and single texture, the traditional reconstruction algorithm cannot accurately recover the ideal results. the research shows that the shape features of the measured object can be recovered more accurately by using polarization information in the reconstruction process. However, due to the ambiguity of the azimuth of the surface normal, it is difficult to obtain the accurate depth information directly. Referring to the depth information image provided by the light field camera, this paper designs a depth imaging system mixed by the polarization camera and the light field camera. the depth information obtained by the light field camera is used to guide and eliminate the ambiguity of the normal vector of the polarization surface, so as to achieve higher accuracy in the three-dimensional surface reconstruction of the object. the experiment and analysis show that the relative error between the reconstructed target surface and the real target surface is less than 10%. © 2022 IEEE.

关键词： Cameras

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Image Deblurring Based on Generative Adversarial Networks 7

Image Deblurring Based on Generative Adversarial Networks

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Lu, Wenling Meng, Zhaohui School of Computer and Information Hohai University Nanjing China

ISBN: (纸本)9781665478571

Image deblurring technology uses deep learning method to solve the blurry problem of single image , which is a challenging problem in the field of computer vision. In recent years, the rapid development of deep learning and computer vision has promoted the performance of blur processing algorithm. From the perspective of deep learning, the article studies on the image deblurring problem, and uses convolution neural network to achieve the purpose of image deblurring. Aiming at the problem that the scale of single deblurring using multi-scale network is huge, and the important feature information is not fully used, this paper proposes a deblurring algorithm based on generative adversarial networks. the model uses feature pyramid network as a framework instead of the multi-scale input, which effectively reduces the size of network and accelerates the training speed. In order to make better use of feature information, the attention mechanism and dual scale discriminator are introduced into the network. In order to make the training process more stable, the algorithm improves the discriminator loss, using the least squares and relativistic combination. the experimental results show that the image deblurring algorithm based on the generative adversarial network achieves better restoration effect than other algorithms. © 2022 IEEE.

关键词： Generative adversarial networks

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MFRIN: Rotation-Invariant Network with Multi-feature Fusion of Point Cloud 7

MFRIN: Rotation-Invariant Network with Multi-feature Fusion ...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Li, Shuyu Zhang, Xudong Hefei University of Technology School of Computer and Information Hefei China

ISBN: (纸本)9781665478571

Point cloud carries rich geometric information and has unique advantages in computer vision field. Existing methods can effectively identify objects in a fixed perspective, but in practical, the object direction is unknown, which greatly affects the accuracy of the network. In this paper, we propose a pre-network based on ellipsoid fitting algorithm to extract rotation invariant features of point cloud. We design a two-branch network to mine features at different levels. In the first branch, we feed the rotation invariant feature to PointNet-based backbone to learn global feature;in the side branch, we use knn to transform the point cloud into a graph structure and apply attention model to extract more discriminative local features. We show that MFRIN can extract rotation-invariant representations for point cloud without data augmentation, and achieves best performance than state-of-the-art methods on rotating point clouds. © 2022 IEEE.

关键词： computer vision

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FRAUD DETECTION IN AUTOMOTIVE INSURANCE DOMAIN USING MACHINE LEARNING 16

FRAUD DETECTION IN AUTOMOTIVE INSURANCE DOMAIN USING MACHINE...

引用

16th international conference on computer Graphics, Visualization, computer Vision and Image processing, CGVCVIP 2022, 8th international conference on Connected Smart Cities, CSC 2022, 7th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th international conference on theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi conference on computer Science and information Systems, MCCSIS 2022

作者： Rana, Md Abdul Masud Kabir, Ahmedul Department of Information and Communication Technology Bangladesh University of Professionals Dhaka Bangladesh Department of Information Technology University of Dhaka Dhaka Bangladesh

ISBN: (纸本)9789898704429

the insurance industry is one of the most vital aspects of modern society, the economy, and people's lives. It brings peace and security to people by offsetting the financial risks of damage and loss. Fraud in the Automotive Insurance domain illustrates a scenario in which the client obtains money by providing falsified papers, demonstrating fake accidents or economic claims for early losses. One of the biggest harmful challenges here is an interaction between policyholders and the insurance industry which creates a possible situation for fraud claims. By keeping these in mind, in this research, fraud detection in the automotive insurance domain (AID) is performed using machine learning (ML) techniques. It is a binary classification problem that utilized the recursive feature elimination (RFE) method to uncover the most influential factors for detecting fraud. the significance of each attribute is also determined. Moreover, a comparative analysis of the ML models is performed. the experimental outcomes show that the multilayer perceptron model is quite robust and outperforms the other algorithms in detecting fraud. © MCCSIS *** rights reserved.

关键词： Insurance

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A Review of Efficient Mobility Techniques for Privacy and Secured Cloud Computing Architectures for Infrastructure as a Service 7

A Review of Efficient Mobility Techniques for Privacy and Se...

引用

7th international conference on Communication and Electronics Systems, ICCES 2022

作者： Samuel, Betty Elezebeth Ahamed, Saahira Banu Selvarajan, Padmanayaki Jazan University Department of Computer Science College of Computer Science and Information Technology Jazan Saudi Arabia Jazan University Department of Information Technology and Security College of Computer Science and Information Technology Jazan Saudi Arabia

ISBN: (数字)9781665496346

ISBN: (纸本)9781665496346

Cloud computing has since been turned into the most transcendental growth. this creative invention provides forms of technology and software assistance to companies. Cloud computing is a crucial concept for the distribution of information on the internet. Virtualization is a focal point for supporting cloud resources sharing. the secrecy of data management is the essential warning for the assurance of computer security such that cloud processing will not have effective privacy safety. All subtleties of information relocation to cloud stay escaped the clients. In this review, the effective mobility techniques for privacy and secured cloud computing have been studied to support the infrastructure as service. © 2022 IEEE.

关键词： computer architecture

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Construction and Application of Subject Knowledge Graph for Basic Education 7

Construction and Application of Subject Knowledge Graph for ...

引用

7th international conference on computer and information processing technology, iscipt 2022

作者： Xu, Tao Ma, Xiaqing Wang, Fengsi Liu, Chun Zhang, Zixiang Lu, Peiming Han, Daojun Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng475004 China School of Computer and Information Engineering Henan University Kaifeng475004 China Henan Technology Innovation Center of Spatio-Temporal Big Data Henan University Zhengzhou450046 China Henan Industrial Technology Academy of Spatio-Temporal Big Data Henan University Zhengzhou450046 China

In view of the problem that the distribution of knowledge points in the current knowledge system in the form of chapters can no longer meet the needs of students and teachers. this paper proposes to use SVM to identify knowledge points of tests, build a subject Knowledge Graph based on the identified knowledge points, and design and implement a subject Knowledge Graph system. this paper takes the mechanical movement of the first chapter of the eighth grade (upper) physics course as an example to conduct empirical research. By 10-fold cross-validation, the average F1 value of the algorithm used in this paper is 89.66%. © 2022 Copyright for this paper by its authors.

关键词： Knowledge graph

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