Proceedings of the 4th International Conference on Advanced Information Science and System最新文献_第7页

LARW: Network Representation Learning Algorithm Based On Long Anonymous Random Walks 基于长匿名随机行走的网络表示学习算法

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574491

W. Liu, Xin Du

引用次数: 0

A Fast bearing Fault diagnosis method based on lightweight Neural Network RepVGG 基于轻量级神经网络RepVGG的轴承故障快速诊断方法

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574495

Yijun Huang, Renwen Chen, Yidi Chen, Shanshan Ding, Jiaqing Yao

引用次数: 1

An Efficient Warp-Based Motion Magnification Method to Reveal Subtle Changes in Video 一种有效的基于翘曲的运动放大方法来揭示视频中的细微变化

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574476

Shuifa Sun, Yongheng Tang, Yunfei Shi, Yuan Guo, Tinglong Tangc, Yirong Wu

{"title":"An Efficient Warp-Based Motion Magnification Method to Reveal Subtle Changes in Video","authors":"Shuifa Sun, Yongheng Tang, Yunfei Shi, Yuan Guo, Tinglong Tangc, Yirong Wu","doi":"10.1145/3573834.3574476","DOIUrl":"https://doi.org/10.1145/3573834.3574476","url":null,"abstract":"Video motion magnification can amplify subtle motions and even reveal small color changes in video. Ordinary methods analyze the signal change at each pixel over time at different spatial scales and orientations. These methods inevitably amplify the noise and cause ringing artifacts in video. State-of-the-art methods relying on filters via learning also produce excessive blurring in images. In this paper, we present a warp-based video motion magnification method in which only one-frame latency is maintained. We propose a Lagrangian motion magnification method, which involves image deformation and optical flow techniques. Motion magnification is achieved by warping the video frame. The method is guided by feature points and only uses previous motion, while simultaneously maintaining the original video details without noise amplification. With this approach, the proposed method can work online in real time. Experimental results show that our method can achieve high-quality results and significantly reduce artifacts, compared with state-of-the-art techniques","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131385379","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

A Video information transmission architecture based on on-top system 一种基于上位系统的视频信息传输体系结构

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574477

Lidan Li, Zhe Jiang, Xiaozheng Zhang

引用次数: 0

Research on cross-project software defect prediction based on feature transfer method 基于特征转移方法的跨项目软件缺陷预测研究

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574472

Wennan Wang, Hanxu Zhao, Yu Li, J. Su, Jiadong Lu, Baoping Wang

引用次数: 0

An XGBoost risk prediction model of cardiovascular and cerebrovascular diseases with plateau healthcare dataset 基于高原医疗数据集的XGBoost心脑血管病风险预测模型

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574558

Yipeng Li, Wen Cao, Wenbing Chang, Shenghan Zhou, Runyu Zhang

引用次数: 0

Semantic segmentation of pulmonary nodules based on attention mechanism and improved 3D U-Net 基于注意机制和改进3D U-Net的肺结节语义分割

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574466

Jing Zhang, Jinglei Tang, Yingqiu Huo

{"title":"Semantic segmentation of pulmonary nodules based on attention mechanism and improved 3D U-Net","authors":"Jing Zhang, Jinglei Tang, Yingqiu Huo","doi":"10.1145/3573834.3574466","DOIUrl":"https://doi.org/10.1145/3573834.3574466","url":null,"abstract":"In lung CT images, the detection and diagnosis of pulmonary nodules is one of the important criteria for many pulmonary diseases. In recent years, image semantic segmentation technology has developed rapidly and has been gradually applied to the medical field. However, the existing segmentation methods of lung nodules need a lot of labeling work by professionals before training, and the segmentation results have some problems such as low accuracy and blurred image edges. In order to improve the above problems, in this study, the existing 3D U-Net network is improved, and the double Attention structure is applied to the 3D semantic segmentation network structure. The structure can focus Attention on the edge of the segmentation target, so as to improve the detail accuracy of the segmentation edge of the target lung nodule. Aiming at the problem of inconsistent output information of Attention structure, a new joint loss function is used to optimize. The trained network structure is tested on LUNA16 dataset, and the Dice value is 90.31%. The comprehensive performance of other test indexes is also better than that of other network structures. This study can provide a reference for semantic segmentation of lung CT images using deep learning methods.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116844069","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