2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献_第3页

A Novel Speech-Driven Lip-Sync Model with CNN and LSTM 基于CNN和LSTM的语音驱动对口型模型

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624360

Xiaohong Li, Xiang Wang, Kai Wang, Shiguo Lian

引用次数: 2

A simple illumination map estimation based on Retinex model for low-light image enhancement 一种基于Retinex模型的低光图像增强照度图估计方法

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624323

Shiqiang Tang, Changli Li, X. Pan

引用次数: 2

CCANet: Exploiting Pixel-wise Semantics for Irregular Scene Text Spotting CCANet:利用逐像素语义进行不规则场景文本识别

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624403

Shanbo Xu, Chen Chen, Silong Peng, Xiyuan Hu

{"title":"CCANet: Exploiting Pixel-wise Semantics for Irregular Scene Text Spotting","authors":"Shanbo Xu, Chen Chen, Silong Peng, Xiyuan Hu","doi":"10.1109/CISP-BMEI53629.2021.9624403","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624403","url":null,"abstract":"Despite the progress in regular scene text spotting, how to detect and recognize irregular text with efficiency and accuracy remains a challenging task. In this work, we propose a novel Corner and Character Assisted Network (CCANet) which exploits pixel-wise semantics to learn explicit text corner and character center positions with low computational cost. Concretely, in the detection stage, we develop a pixel-level Corner Rectification Branch to refine the inaccurately regressed text corners; in the recognition stage, we design another pixel-level Character Enhancement Branch which generates a Gaussian-like character center heatmap to provide attention guidance for the decoding process. To overcome the reliance of character-level annotations, we adopt an iterative approach to generate pseudo-GT label for the character heatmap, which regards the attention peak position of the attention-based recognizer as the true character center. The extensive experiments conducted on two irregular text benchmarks, Total-Text and CTW1500, demonstrate that the proposed CCANet achieves competitive and even new state-of-the-art performance.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128446080","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

Segmentation of Intracranial Aneurysm Based on U-Net and BiConvGRU 基于U-Net和BiConvGRU的颅内动脉瘤分割

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624354

Tao Hu, Jinhua Yu, Heng Yang, W. Ni

引用次数: 0

Bimodal Emotion Recognition using Kernel Canonical Correlation Analysis and Multiple Kernel Learning 基于核典型相关分析和多核学习的双峰情绪识别

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624428

Jingjie Yan, Weigen Qiu

{"title":"Bimodal Emotion Recognition using Kernel Canonical Correlation Analysis and Multiple Kernel Learning","authors":"Jingjie Yan, Weigen Qiu","doi":"10.1109/CISP-BMEI53629.2021.9624428","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624428","url":null,"abstract":"Bimodal emotion recognition on account of kernel canonical correlation analysis (KCCA) and multiple kernel learning (MKL) is investigated and utilized to discover the befitting and effectual fusion pattern with respect to facial expression channel and body gesture channel in the form of video data. Firstly, to relieve calculated quantity of the posterior fusion and classification procedure, the two groups of quondam facial expression and body gesture video data are switched to be indicated as the form of lower dimensional histogram spatio-temporal emotion vectors respectively by Dollar's spatio-temporal feature. Then, KCCA-MKL in the form of multiple kernels is adopted to portray the nonlinear character of facial expression and body gesture video data, and simultaneously to search two modalities' conjunct nonlinear correlative structures by considering the disadvantage of the signal kernel used in KCCA. The rudimentary idea of the KCCA-MKL method is using multiple kernels with the combination of gaussian kernel and $chi^{2}$ kernel to substitute for the signal kernel in KCCA. In experiment step, some types of the combination of the gaussian kernel and the $chi^{2}$ kernel are implemented in KCCA-MKL. The test results display that the classification accuracy of the KCCA-MKL approach is 56.91% using the KNN classifier, and is better than two unimodal methods and signal kernel method. Consequently, KCCA-MKL is more unfailing and efficient for bimodal emotion recognition.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096928","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

An Improved Image Super-Resolution Reconstruction Method Based On LapSRN 一种改进的基于LapSRN的图像超分辨率重建方法

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624332

Lei Kong, L. Jiao, Feng Jia, Kai Sun

引用次数: 0

Failure Detection Of Infrared Thermal Imaging Power Equipment Based On Improved DenseNet 基于改进DenseNet的红外热成像电源设备故障检测

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624227

Bingxiao Mei, R. Han, Xiongwei Jiang, Yue Wang, Decai Yin

{"title":"Failure Detection Of Infrared Thermal Imaging Power Equipment Based On Improved DenseNet","authors":"Bingxiao Mei, R. Han, Xiongwei Jiang, Yue Wang, Decai Yin","doi":"10.1109/CISP-BMEI53629.2021.9624227","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624227","url":null,"abstract":"Timely maintenance of the power equipment is the key to ensure the normal operation of the transmission equipment. In the substation scenario, a thermal infrared image detection method is proposed for target detection to detect potential faults in advance. The proposed method replaces the backbone network of Faster RCNN with DenseNet, to extract richer features, and in order to reduce the number of parameters of the backbone network, replaces standard convolution with learnable group convolution. To alleviate the problem of feature loss in packet convolution, the SFR structure is added to activate the features and improve the feature utilization. In order to reduce the complexity of the network and reasonably reduce the number of convolutions, we obtain a better lightweight model, and improve the NMS algorithm for the problem of regional overlap detection omission. Experiments show that the algorithm used has higher accuracy than YOLO and SSD, and the improved model not only reduces the network complexity, but also improves certain performance, and the final detection accuracy is 95.8%, which can be well applied to thermal infrared image detection","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130851834","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: 4

The Effectiveness of Point-of-Care Testing with Intervention in Psychopathology: A Pilot Study 护理点测试与精神病理学干预的有效性:一项试点研究

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624223

Mohammed Khan, L. Hadjileontiadis, D. Cornforth, Jon Drummond, H. F. Jelinek

{"title":"The Effectiveness of Point-of-Care Testing with Intervention in Psychopathology: A Pilot Study","authors":"Mohammed Khan, L. Hadjileontiadis, D. Cornforth, Jon Drummond, H. F. Jelinek","doi":"10.1109/CISP-BMEI53629.2021.9624223","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624223","url":null,"abstract":"Point-of-Care Testing (POCT) have mainly addressed biochemical systems. This paper presents a POCT based on recording physiological data and the options for intervention. Smartphone or tablets provide an ever-increasing number of applications for measuring diverse biochemical as well as physiological variables. An important adjunct to this is that the POCT App should provide a means of intervention. Previous work on assessing the efficacy of the biofeedback using HeartMath device has mainly concentrated on the effect of heart rate response, measured as heart rate variability (HRV) with the aim of improving anxiety, depression and immune response. This study investigated the effect of diaphragmatic paced breathing (6 breaths/min) or a serious game-based balloon-game for guiding biofeedback compared to normal breathing on electroencephalograph (EEG) signal complexity. Signal characteristics were analyzed following pre-processing and using the Higuchi Fractal Dimension (HFD) from the EEG directly, HFD obtained after applying Hilbert-Huang Transform (HHT) and Sample Entropy (SE) from EEG directly. Six subjects participated in the repeated measures pilot study. EEG was recorded using the Thought Technology device with the scalp electrode located at Cz prior, during and after HeartMath biofeedback training. Using all three complexity measures, most or all participants showed the lowest signal complexity during paced breathing regardless of analysis method. Only HFD with HHT showed a significant statistical difference (p<0.05) between the three conditions when using a Friedman repeated measures test. The findings suggest that biofeedback may be efficacious for POCT in psychopathology to reduce complexity of EEG which is often higher in patients with anxiety, depression or schizophrenia.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130973733","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 and Implementation of Multi-tank Wireless Control Automatic Cupping Device 多罐无线控制自动拔罐装置的设计与实现

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624413

Lin Yingxiang, Li Xiaohui, Liu Yun, C. Huilin, Yan Jianjun

引用次数: 0

Portable in vivo measurement of apple sugar content based on mobile phone 基于手机的苹果含糖量的便携式体内测量

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624327

Fanli Lin, Yishu Li

引用次数: 0