发布求助
文献互助 智能选刊 最新文献

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)最新文献

筛选
英文 中文
Chinese Character Recognition Based on Residual Separable Convolutional Neural Network 基于残差可分卷积神经网络的汉字识别
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632573
Hao-ran Xiang, Jing Peng, Yi Ma, Yong He, Ze-zhong Zheng, Fan Mou, Jiang Li
{"title":"Chinese Character Recognition Based on Residual Separable Convolutional Neural Network","authors":"Hao-ran Xiang, Jing Peng, Yi Ma, Yong He, Ze-zhong Zheng, Fan Mou, Jiang Li","doi":"10.1109/ICCWAMTIP.2018.8632573","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632573","url":null,"abstract":"In this paper, we present an end-to-end deep learning system for Chinese character recognition. We applied the system to recognize ID card photographed by smart phone in natural environment. The quality of ID card images was affected by illumination and shadow. We developed a preprocessing procedure to enhance the images and then to detect and extract Chinese characters and numbers from the images. The end-to-end deep convolutional neural network (CNN)consists of deep separable convolutional (DSC)layers, batch normalization (BN)layers, ReLu activation layers and residual connections to mitigate over-fitting and gradient vanish. To train the network, we constructed a dataset containing the 3765 most frequent Chinese characters. We tested the proposed system on a self-constructed Chinese character dataset and achieved an accuracy of 92.73%.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116820322","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
An Effective Wideband Spectrum Sensing Scheme Based on Nested Sampling 一种有效的基于嵌套采样的宽带频谱感知方案
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632598
Jia Liu, Lei Wang, Zhiping Shi, Hongxia Sun, Q. Zhang
{"title":"An Effective Wideband Spectrum Sensing Scheme Based on Nested Sampling","authors":"Jia Liu, Lei Wang, Zhiping Shi, Hongxia Sun, Q. Zhang","doi":"10.1109/ICCWAMTIP.2018.8632598","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632598","url":null,"abstract":"Spectrum sensing based on sub-Nyquist sampling has been a promising solution for the wideband spectrum sensing. However, most of the existing sub-Nyquist approaches require the higher sampling rate to achieve a desired detection performance when the number of occupied sub-bands increases. And also, the computational complexity of the recovering signal will be raised. Therefore, we propose an effective wideband spectrum sensing scheme based on nested sampling in this paper, which has lower sampling rate or higher compression ratio. In the proposed approach, firstly, we obtain the estimation of the power spectrum of wideband signal based on the nested sampling followed by the sub-band-bin energy detecting. Simulation results show that our method using the nested sampling outperforms co-prime sampling.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115013392","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
Image Edge Detection Base on Conditional Generative Adversarial Nets 基于条件生成对抗网络的图像边缘检测
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632607
MingYun He, Yulun Wu, Xiaofang Li, Jinyi Liu, Xiaofeng Gu
{"title":"Image Edge Detection Base on Conditional Generative Adversarial Nets","authors":"MingYun He, Yulun Wu, Xiaofang Li, Jinyi Liu, Xiaofeng Gu","doi":"10.1109/ICCWAMTIP.2018.8632607","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632607","url":null,"abstract":"We propose a method to prepare for developing the quality of the reconstructing objects from edge detection. We know that some conditional generative adversarial networks like pix2pix, learn a loss function to train the mapping from input image and output image. In case of using single mapping, we cannot guarantee that all samples in X and all samples in the Y are reasonably corresponding. So, we suppose to utilize bijection and we make the optimization for the pix2pix'U-net, which can develop our model to reconstruct objects from edge detection needing to be repaired. These can let our image generated by edge detection with our method get less probability of mode collapse and ensure the image style more similar to samples.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123026883","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
Vehicle Classification Based on Deep Convolutional Neural Networks Model for Traffic Surveillance Systems 基于深度卷积神经网络模型的交通监控车辆分类
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632593
Zakria, Jingye Cai, Jianhua Deng, Muhammad Saddam Khokhar, Muhammad Umar Aftab
{"title":"Vehicle Classification Based on Deep Convolutional Neural Networks Model for Traffic Surveillance Systems","authors":"Zakria, Jingye Cai, Jianhua Deng, Muhammad Saddam Khokhar, Muhammad Umar Aftab","doi":"10.1109/ICCWAMTIP.2018.8632593","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632593","url":null,"abstract":"Due to growth of vehicles in urban cities, such problems are increases traffic control systems, security and crime investigation, intelligent parking and electronic toll collection. Moreover, Logistics access management system (LMS)is also a big problem in urban cities and all the issues are challenging and demands to develop effective and efficient approach for vehicle classification. Mostly, traditional vehicle classification uses hand craft feature extraction method like SIFT, Surf, HoG etc. However, these approaches are not efficient in results. This paper presents the efficient framework for vehicle classification by using Inception-v3 model for image vector features extraction that is most advance deep learning neural network, and this model is not used before for vehicle classification. After that, different classification algorithms are implemented on the feature vector. The classification conducted on three vehicle datasets and results demonstration is helpful for researchers to choose dataset with algorithm performance.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115642727","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: 15
Ph Neutralization Process Control Using Linear Active Disturbance Rejection Control 采用线性自抗扰控制的Ph中和过程控制
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632617
Mohanad Hamad Eljack, M. B. Musa, W. Tan
{"title":"Ph Neutralization Process Control Using Linear Active Disturbance Rejection Control","authors":"Mohanad Hamad Eljack, M. B. Musa, W. Tan","doi":"10.1109/ICCWAMTIP.2018.8632617","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632617","url":null,"abstract":"PH is the measure of acidity or alkalinity of a solution containing water, which has a wide usage in industry. The extreme nonlinearity and exposure to the effects of multivariable pH processes makes it an appropriate test bed for evaluation of controllers. To address these issues a Linear Active Disturbance Rejection Controller (LADRC)is designed in this paper. The simulation results are performed to highlight the outstanding performance of the proposed controller compared to the traditional PID controller.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129598105","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
Image Segmentation Method Based on Hierarchical Region Merging's NCUT 基于分层区域合并NCUT的图像分割方法
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632579
D. Fu, Huaixin Chen, Yun-Zhi Yang, Chang-Yin Wang, Yu-Wei Jin
{"title":"Image Segmentation Method Based on Hierarchical Region Merging's NCUT","authors":"D. Fu, Huaixin Chen, Yun-Zhi Yang, Chang-Yin Wang, Yu-Wei Jin","doi":"10.1109/ICCWAMTIP.2018.8632579","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632579","url":null,"abstract":"Image segmentation is the foundation of image analysis and scene understanding. In this paper, a novel image segmentation method based on hierarchical region merging's Ncut is proposed. The image is divided into several regions using SLIC firstly. The region represented with superpixels are clustered by Graph-based Ncut algorithm, and then the clustered regions are further merged by hierarchical region merging algorithm. The Experiment shows that our method can reduce the cost of segmentation time and improve the segmentation results.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126715327","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
Image Conversion in Multiple Domains Based on Gan 基于Gan的多域图像转换
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632565
Xiaofeng Gu, Xiaofang Li, Yulun Wu, Ping Kuang, Xiang Xu
{"title":"Image Conversion in Multiple Domains Based on Gan","authors":"Xiaofeng Gu, Xiaofang Li, Yulun Wu, Ping Kuang, Xiang Xu","doi":"10.1109/ICCWAMTIP.2018.8632565","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632565","url":null,"abstract":"Generative Adversarial Networks can be used to generate clear images, but in different domains of the image conversion, for example, a picture from a man to a woman, or from hair to baldness, many methods use multiple models to transform input images rather than single model, which may cause the artifacts. There is no quantitative and qualitative way to evaluate the experimental results. Based on the idea of Generative Adversarial Networks, this paper can use a single model to convert multiple domains of images. After the conversion is completed, the pre-training is used to classify the images. The experimental results show that the method can realize image conversion between multiple domains and can better evaluate the experimental results.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125230748","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
Hybrid Compression of Medical Images with Wavelets 基于小波的医学图像混合压缩
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632612
Fadia Shah, Jianping Li, Wang Zhou, Jalaluddin Khan, F. Shah, Y. Shah
{"title":"Hybrid Compression of Medical Images with Wavelets","authors":"Fadia Shah, Jianping Li, Wang Zhou, Jalaluddin Khan, F. Shah, Y. Shah","doi":"10.1109/ICCWAMTIP.2018.8632612","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632612","url":null,"abstract":"Scientific studies have extended the Medical Big Data (MBD)collection from numerous sources. Huge MBD needs more storage space. The traditional database management systems were obsolete and they cannot support reliable MBD processing. Usually two types of compression schemes were used to reduce the MBD size. This paper presents a hybrid compression approach for medical big data for size reduction. This also guarantees MBD quality and image reliability.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"113 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134004717","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
An Efficient 2bits-Level for Image Encryption Based on Dna, Multi-Delayed Chebyshev Map and Cellular Automata 基于Dna、多延迟切比雪夫映射和元胞自动机的高效2bit级图像加密
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632558
Wei Li, Jianping Li, Longyuan Guo
{"title":"An Efficient 2bits-Level for Image Encryption Based on Dna, Multi-Delayed Chebyshev Map and Cellular Automata","authors":"Wei Li, Jianping Li, Longyuan Guo","doi":"10.1109/ICCWAMTIP.2018.8632558","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632558","url":null,"abstract":"This paper proposes an encryption scheme based on cellular automaton image and multi-delay chebyshev map. The scheme of the image to binary DNA encoding, the use of multi-delay chebyshev map to generate pseudo random sequences. The addition of the two column of the sequence's sorting index selects the addition of the DNA rule to assign the result to one of the columns, and the other column's diffusion operation is an exclusive or operation of the value of the random DNA code generated by the cellular automata, and then assigns the value to the column. The row operation is the same as the column operation. After such operation, the pixels in the original image are changed, so that the image is encrypted. The algorithm is simulated by MATLAB, which shows that the encryption effect is good, and the encrypted image is similar to the noisy image. Through analyzing the security index of encrypted image, we know that the image encrypted by the algorithm is highly secure.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126960785","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 New Parallel Scheduling Algorithm Based on MPI 一种基于MPI的并行调度算法
2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632603
Xiaoyong Wang, Feng Li, Jun Ma, Lei Xin, Xue Yang, Xing Chang, Haoyang Chang
{"title":"A New Parallel Scheduling Algorithm Based on MPI","authors":"Xiaoyong Wang, Feng Li, Jun Ma, Lei Xin, Xue Yang, Xing Chang, Haoyang Chang","doi":"10.1109/ICCWAMTIP.2018.8632603","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632603","url":null,"abstract":"GPU is widely used in many fields with the development of machine vision, but after much research that parallel algorithm in traditional is inefficient to paralleling task directly. MPI (Message Passing Interface)is used in this paper to improve computational performance, and a new task scheduling algorithm WFM (Working Forever with MPI)is proposed to improve the computational performance by reducing the idle time of each group of CPU's task and GPU's task. Our experimental results show that the same SR task can be speed up by two times with the performance of WFM on the same Jetson TX2.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123622893","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信