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2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)最新文献

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Design and Development of Virtual Scene of " Birds paying homage to the Phoenix " Based on Virtual Reality Technology 基于虚拟现实技术的“百鸟朝凤”虚拟场景设计与开发
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00017
Y. Deng, Huaqun Liu, Yang Lu, Tong Li
{"title":"Design and Development of Virtual Scene of \" Birds paying homage to the Phoenix \" Based on Virtual Reality Technology","authors":"Y. Deng, Huaqun Liu, Yang Lu, Tong Li","doi":"10.1109/ICISPC53419.2021.00017","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00017","url":null,"abstract":"Virtual and augmented reality technology is increasingly used in the field of cultural creation, and intangible cultural heritage has become an important element in the field of cultural creation. Taking the intangible cultural heritage Suona art as an example, based on the analysis of Suona art background, development and communication status, this paper puts forward the design idea of the Suona virtual scene system. Using virtual display development engine Unreal Engine 4 and data import plug-in Datasmith, combined with LBS (location-based service) technology, the design and construction of the Suona art virtual scene are realized. The system analyzes the artistic characteristics of Suona's famous song \" Birds paying homage to the Phoenix\" and integrates it into the crescent spring scenic spot, which improves the immersion, interactivity and imagination of the scene experience. At the same time, the interactive system provides new ideas and effective practical solutions for the spread of Suona's intangible cultural heritage culture.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"88 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance Evaluation of Speech Enhancement of Single Acoustic Signal Referring to Image Information 基于图像信息的单声信号语音增强性能评价
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00019
M. Matsumoto
{"title":"Performance Evaluation of Speech Enhancement of Single Acoustic Signal Referring to Image Information","authors":"M. Matsumoto","doi":"10.1109/ICISPC53419.2021.00019","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00019","url":null,"abstract":"This paper presents performance evaluation of speech enhancement of an acoustic signal referring to image information. In recent years, we often see smart phones and tablets in everyday life. Smart phones and tablets have a camera and a microphone. Although many speech enhancement techniques use only the audio information from microphones, it is considered that visual information from a camera is also helpful to enhance the speech. Although the frame rate of the normal movie is very low compared to the sampling frequency of the audio signal, it is useful if it is adequately used. We investigated the performance depending on the parameters and confirmed its effectiveness through the experiments.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125212455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Real-Time Target Tracking Algorithm Based on Improved Kernel Correlation Filter 基于改进核相关滤波的实时目标跟踪算法
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00009
Pu Liu, Jiepng Du, Shengyang He, Guanghui Ren
{"title":"A Real-Time Target Tracking Algorithm Based on Improved Kernel Correlation Filter","authors":"Pu Liu, Jiepng Du, Shengyang He, Guanghui Ren","doi":"10.1109/ICISPC53419.2021.00009","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00009","url":null,"abstract":"At present, target tracking technology is a popular computer vision technology, which is of great significance in people's production and life. But there are still some important and difficult problems in the field of target tracking, such as background similarity, target occlusion, motion blur and so on. Although the target tracking method based on deep learning has good robustness, its off-line training process costs a lot of time and is not flexible enough to use. In this paper, starting from the background requirements of shipboard platform sea target tracking, the algorithm is improved based on kernel correlation filtering algorithm, and a set of high robust real-time target tracking algorithm based on online learning method is proposed.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127987730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Investigation of Gas/Oil/Water Distribution Based on Electrical Capacitance and Microwave Tomography 基于电容和微波层析成像的油气水分布研究
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00012
Yonglei Lin, Yihui Xu, Haigang Wang
{"title":"Investigation of Gas/Oil/Water Distribution Based on Electrical Capacitance and Microwave Tomography","authors":"Yonglei Lin, Yihui Xu, Haigang Wang","doi":"10.1109/ICISPC53419.2021.00012","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00012","url":null,"abstract":"The extraction and transportation of crude oil is a typical multiphase flow process. In order to visualize the oil/gas/water distribution, simulation and static tests are carried out in this paper. Electrical capacitance tomography (ECT) and microwave tomography (MWT) carried out static imaging tests of oil-gas two-phase flow and oil-water two-phase flow. Landweber iteration is used as the image reconstruction algorithm of ECT. The simulation results show that the normalized capacitance model, the iteration number and the step length have a certain influence on the ECT image reconstruction. Static tests show that ECT and MWT have a certain complementarity for oil/gas/water distribution. For oil-water flow, the image quality of MWT is better than that of ECT, and for oil-gas flow, the image quality of ECT is better than that of MWT. For a specific flow pattern, MWT image data can be used as the initial value of the ECT image reconstruction algorithm to further improve the accuracy of the ECT image.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128181365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of Ghost-free Aerial Display by Using Polarizing Plate and Dihedral Corner Reflector Array 利用偏振板和二面角反射器阵列设计无鬼航空显示器
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00020
Yuto Osada, Yue Bao
{"title":"Design of Ghost-free Aerial Display by Using Polarizing Plate and Dihedral Corner Reflector Array","authors":"Yuto Osada, Yue Bao","doi":"10.1109/ICISPC53419.2021.00020","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00020","url":null,"abstract":"A dihedral corner reflector array (DCRA) is an optical system that displays images in the air. It faces a drawback of reduced visibility of the aerial image due to stray light, which is referred to as a ghost. The formation of a ghost can be suppressed by providing a louver; however, this reduces the viewing angle of the aerial image. This study proposes a design of a ghost-free aerial display using polarizing plates and a DCRA. The experimental results verify that the proposed method suppressed the brightness of the ghost to approximately 23% or less compared to using only the DCRA. Additionally, at an observation angle of 45°, the proposed method obtained a brighter aerial image and ghost than the louver method.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129535180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Railroad Near-Miss Occurrence Detection and Risk Estimation System with Data from Camera Using Deep Learning 基于深度学习相机数据的铁路近距离脱靶检测与风险评估系统
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00023
Amartuvshin Dagvasumberel, Bilguunmaa Myagmardulam, Byambasuren Myagmar, Byambasuren Luvsankhuu, T. Nakayama
{"title":"Railroad Near-Miss Occurrence Detection and Risk Estimation System with Data from Camera Using Deep Learning","authors":"Amartuvshin Dagvasumberel, Bilguunmaa Myagmardulam, Byambasuren Myagmar, Byambasuren Luvsankhuu, T. Nakayama","doi":"10.1109/ICISPC53419.2021.00023","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00023","url":null,"abstract":"An unsafe railway operation system has both direct and indirect societal consequences. Railway accidents are a major safety and financial issue for the railroad industry. Estimating the risk of railway accidents is critical for safety, as it will support in the development of secure railway operations and reduce the further risks associated with railway systems. For many years, researchers have explored various techniques for obstacles detection and early detection of railroad accidents to aid in railway incident management. With recent advancements in machine learning algorithms and data collection techniques, there are a growing number of research studies to provide suitable solutions for the railway safety system. In this paper, we present a novel approach for detecting near-miss occurrences and estimating the risk of event with data from camera using deep learning models. Our proposed approach detects and localizes foreign objects on the railroad. It also detects the position of rail tracks using a segmentation method to estimate the risk of near-miss occurrence by calculating the distance between the detected objects to the rail track. A proposed approach successfully analyzed input image into a rail track segmentation and detection of foreign objects on rail track. Experimental results demonstrate the effectiveness of the proposed approach and its suitability for a complex real-world railway systems.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The Research on the Impact of Visual Image Perception in a User Interface on Typeface Design 用户界面视觉形象感知对字体设计的影响研究
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00015
Yang Cao
{"title":"The Research on the Impact of Visual Image Perception in a User Interface on Typeface Design","authors":"Yang Cao","doi":"10.1109/ICISPC53419.2021.00015","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00015","url":null,"abstract":"Nowadays, Typeface plays an increasingly important role in dynamic digital interfaces, but there still has little direct evaluation of visual image perception related to the typeface design, especially for the use in interface typography. The research is based on the analysis of display screen, elaborates upon the connection between display resolution and typeface design, the relationship between display polarity and the principle of vision optics. Furthermore, essential attributes and requirements of the two genre of interface font are inspected from the human visual image perception. Additionally, the visual processing of text information and visual characteristics in scanning state are elaborated, visual Angle and spatial frequency of visual perception are identified as the cornerstones influencing the design of a typeface for user interface. The methodology of visual perception can be adapted to investigate questions relevant to typographic and typeface design.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125994861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Title page i] [标题页i]
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/icispc53419.2021.00001
{"title":"[Title page i]","authors":"","doi":"10.1109/icispc53419.2021.00001","DOIUrl":"https://doi.org/10.1109/icispc53419.2021.00001","url":null,"abstract":"","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125968929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection of Anal Sac Disease, Atresia Ani and Rectal Prolapse for Canis Lupus Familiaris Using Image Processing and Convolutional Neural Network 应用图像处理和卷积神经网络检测犬狼疮肛囊病变、闭锁和直肠脱垂
2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) Pub Date : 2021-07-01 DOI: 10.1109/ICISPC53419.2021.00011
Jessie R. Balbin, Julius T. Sese, Joshua G. Ang, Julie Seline S. Tapang, Jovan D. Valenzuela
{"title":"Detection of Anal Sac Disease, Atresia Ani and Rectal Prolapse for Canis Lupus Familiaris Using Image Processing and Convolutional Neural Network","authors":"Jessie R. Balbin, Julius T. Sese, Joshua G. Ang, Julie Seline S. Tapang, Jovan D. Valenzuela","doi":"10.1109/ICISPC53419.2021.00011","DOIUrl":"https://doi.org/10.1109/ICISPC53419.2021.00011","url":null,"abstract":"This research focuses on using deep learning for android devices in identifying three anal diseases of dogs. The advantage of using this method is to continually improve its accuracy every time it is used. The researchers chose MobileNetV2, a model of Convolutional Neural Network for mobile devices. After training the model with 111 images per disease, an accuracy of 94% is achieved.","PeriodicalId":433072,"journal":{"name":"2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116400124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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