发布求助
文献互助 智能选刊 最新文献

2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)最新文献

筛选
英文 中文
A Computational Algorithm Based on Convolutional Neural Networks Aimed at Estimating the MOS Quality Parameter According to the Norm UIT-T P.862 一种基于卷积神经网络的基于规范单元- t P.862的MOS质量参数估计算法
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730288
Rodrigo Gutierrez, Brallan Asca, G. Kemper
{"title":"A Computational Algorithm Based on Convolutional Neural Networks Aimed at Estimating the MOS Quality Parameter According to the Norm UIT-T P.862","authors":"Rodrigo Gutierrez, Brallan Asca, G. Kemper","doi":"10.1109/STSIVA.2019.8730288","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730288","url":null,"abstract":"This paper proposes an algorithm based on convolutional neural networks for the estimation of the quality level of voice signals transmitted through cellular communication systems. The objective is to take advantage of artificial intelligence methods to estimate the MOS parameter and obtain a similar accuracy to that obtained by methods and procedures established in the international norms and international licensed standards. The proposed algorithm uses the MOS results obtained by the method detailed in the ITU-T P.862 standard. The values were obtained for different signals acquired at different reception points. With this information we proceeded to design and train a convolutional neuronal network of 4 layers, achieving very satisfactory results. For the validation, the mean square error was used to measure the degree of similarity of the MOS values obtained by ITU-T P.862 and by the proposed algorithm. The results show a mean square error of 0.00007 for the proposed algorithm.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"466 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127866929","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
Ultrasonic imaging of standing trees: factors influencing the decay detection 立木超声成像:影响衰变检测的因素
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730215
Luis Espinosa, F. Prieto, L. Brancheriau, P. Lasaygues
{"title":"Ultrasonic imaging of standing trees: factors influencing the decay detection","authors":"Luis Espinosa, F. Prieto, L. Brancheriau, P. Lasaygues","doi":"10.1109/STSIVA.2019.8730215","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730215","url":null,"abstract":"Ultrasound Computed Tomography is a widely used technique for nondestructive control of materials. One application is the evaluation of the inner state of standing trees in urban areas. The quality of the tomographic image depends on several factors, such as the number of probes used and the image reconstruction algorithm. Here we are interested in evaluating the influence of using a reconstruction algorithm adapted to wood anisotropy, compared to the classic methods using an isotropic model, and the effect of numerically increasing the number of sensors and the time-of-flight measurements using an interpolation method, known as sinogram interpolation. A numerical configuration was tested, simulating the presence of an eccentric defect in a wood section. Reconstructed images were compared before and after the interpolation process, and a thresholding was applied to quantify the decay area estimation. A more detailed defect identification was obtained with the reconstruction algorithm adapted to wood anisotropy and the interpolation of the sensors.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129973853","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
MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome MARRSIDS:监测助手，以减少婴儿猝死综合征的风险
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730261
Xavier López Gallo, Santiago Lechón, Stalin Mora, Diego Vallejo-Huanga
{"title":"MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome","authors":"Xavier López Gallo, Santiago Lechón, Stalin Mora, Diego Vallejo-Huanga","doi":"10.1109/STSIVA.2019.8730261","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730261","url":null,"abstract":"One of the main causes of death in children, during the first year of life, is Sudden Infant Death Syndrome (SIDS) due to the poor position of the infant when sleeping. In this work a prototype is proposed, called MARRSIDS, based on elements of accessible hardware, free software and artificial vision that allows to monitor the infant, while she/he sleeps. The monitoring assintant executes a sound alarm if it identifies that the child is in an incorrect position. To verify the reliability of the device, experiments are included in children, with different characteristics, that have been monitored during a certain period of time in which the behavior of the device has proven to be effective.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126660953","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: 3
Comparing state-of-the-art methods of detection and tracking people on security cameras video 比较最先进的检测方法和通过监控录像跟踪人
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730271
Jairo Andres Torregrosa Olivero, Carolina María Burgos Anillo, Juan Pablo Guerrero Barrios, Estephanie Montoya Morales, Emma Julianan Gachancipá, Camilo Andrés Zamora de la Torre
{"title":"Comparing state-of-the-art methods of detection and tracking people on security cameras video","authors":"Jairo Andres Torregrosa Olivero, Carolina María Burgos Anillo, Juan Pablo Guerrero Barrios, Estephanie Montoya Morales, Emma Julianan Gachancipá, Camilo Andrés Zamora de la Torre","doi":"10.1109/STSIVA.2019.8730271","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730271","url":null,"abstract":"The use of security cameras allows to perform video surveillance. Nevertheless, little has been done to get other type of information from the videos. This project develops a people counting system for video from detection and tracking algorithms developed on Python 3. The use of trackers and detectors makes the system more robust to avoid overcounting problems. Comparisons were made to evaluate three different detection algorithms: YOLO, SSD and OpenPose; and six tracking algorithms developed on OpenCV: Boosting, MIL, KCF, TLD, Median Flow, MOSSE y CSRT, in order to implement the best algorithms. The system manages to obtain a relative error of maximum counting of 40%, having trouble with sub counting of people in the video.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114071300","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: 7
Combinatorial Separable Convolutional Dictionaries 组合可分离卷积字典
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730236
Jorge Quesada, Gustavo Silva, P. Rodríguez, B. Wohlberg
{"title":"Combinatorial Separable Convolutional Dictionaries","authors":"Jorge Quesada, Gustavo Silva, P. Rodríguez, B. Wohlberg","doi":"10.1109/STSIVA.2019.8730236","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730236","url":null,"abstract":"Recent works have considered the use of a linear combination of separable filters to approximate a non-separable filter bank (FB) to obtain computational advantages in CNNs and convolutional sparse representations / coding (CSR / CSC). However, it has been recently shown that there are advantages to directly solving the convolutional dictionary learning (CDL) problem considering a separable FB.A separable filter bank of M 2-d filters is typically constructed from a paired set of M horizontal filters and M vertical filters. In contrast, here we propose an outer product construction involving all possible combinations of vertical and horizontal filters, so that M vertical and M horizontal filters generate M2 2-d filters. Our computational experiments show that this alternative form results in a reduction in computation time of 10% and 80% for the CDL and CSC problems respectively, while matching the reconstruction performance of the typical separable FB approach for the same cardinality.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124895183","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: 6
Regional Multiscale Motion Representation for Cardiac Disease Prediction 心脏疾病预测的区域多尺度运动表示
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730231
A. Moreno, Jefferson Rodríguez, F. Martínez
{"title":"Regional Multiscale Motion Representation for Cardiac Disease Prediction","authors":"A. Moreno, Jefferson Rodríguez, F. Martínez","doi":"10.1109/STSIVA.2019.8730231","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730231","url":null,"abstract":"Heart characterization is a challenging task due to the non-linear dynamic performance and the strong shape deformation during the cardiac cycle. This work presents a regional multiscale motion representation of cardiac structures that is able to recognize pathologies on cine-MRI sequences. Firstly, a dense optical flow that considers large displacements was computed to obtain a velocity field representation. Then, regional dynamic patterns are coded into a multiscale scheme, from coarse to fine, emerging the most relevant cardiac patterns that remain along the different scales. The resulting motion descriptor is then formed by a set of flow orientation occurrences computed in whole multiscale regions. This descriptor is mapped to a previously trained Random forest classifier to obtain a prediction of the cardiac condition. The proposed strategy was evaluated over a set of 45 cine-MRI volumes achieving an average F1-score of 77.83% on the task of binary classification of among fourth cardiac conditions.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127519984","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: 7
An Algorithm For Detection of Nutritional Deficiencies from Digital Images of Coffee Leaves Based on Descriptors and Neural Networks 基于描述符和神经网络的咖啡叶数字图像营养缺乏症检测算法
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730286
José Sosa, J. Ramírez, Luis Vives, G. Kemper
{"title":"An Algorithm For Detection of Nutritional Deficiencies from Digital Images of Coffee Leaves Based on Descriptors and Neural Networks","authors":"José Sosa, J. Ramírez, Luis Vives, G. Kemper","doi":"10.1109/STSIVA.2019.8730286","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730286","url":null,"abstract":"This work proposes an algorithm for detection of nutritional deficiencies of coffee plantations from the analysis of tonalities and geometric characteristics of the leaves. The algorithm aims to reduce the subjectivity in the analysis by visual perception. Errors in this analysis affect the dosage plan of fertilizers and nutrients applied by producers. The algorithm is formed first by a step of contrast improvement from the luminance followed by a SIFT algorithm that provides the important points for the generation of the corresponding descriptors. In parallel to this, the improved image is subjected to thresholding to obtain Hu and Fourier descriptors. With the three types of descriptors, a specific neuronal network is trained separately according to the nutritional deficiency to be detected. Kappa index was used to compare the results with those taken by visual inspection. The results were satisfactory, obtaining a Kappa coefficient of 0.96 for N and P deficiency, and 0.92 for B.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122798416","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: 7
Design and implementation of a mobile app for public transportation services of persons with visual impairment (TransmiGuia) 为视障人士提供公共交通服务的移动应用程序的设计与实现(TransmiGuia)
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730263
Nicolás Peña Landazabal, Oscar Andrés Mendoza Rivera, Marcelo Herrera Martínez, Camilo Ramírez Nates, Beatriz Tsukamoto Uchida
{"title":"Design and implementation of a mobile app for public transportation services of persons with visual impairment (TransmiGuia)","authors":"Nicolás Peña Landazabal, Oscar Andrés Mendoza Rivera, Marcelo Herrera Martínez, Camilo Ramírez Nates, Beatriz Tsukamoto Uchida","doi":"10.1109/STSIVA.2019.8730263","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730263","url":null,"abstract":"Even though there exist lot of inclusive aids on the market, a joint research between Universidad El Bosque and Universidad de San Buenaventura have shown that visually impaired people still face several problems while attempting to access into the public transport system. Thus, with the insight gathered during this research, the Acoustic Research Group – University of San Buenaventura has designed an android mobile application called TransmiGuía. It works with geolocation, voice recognition and help visually impaired people to navigate through the public transport system.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"48 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120811997","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 image processing method to automatically identify Avocado leaf state 一种自动识别牛油果叶片状态的图像处理方法
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730218
I. Salazar-Reque, Adison G. Pacheco, R. Y. Rodríguez, J. Lezama, Samuel G. Huamán
{"title":"An image processing method to automatically identify Avocado leaf state","authors":"I. Salazar-Reque, Adison G. Pacheco, R. Y. Rodríguez, J. Lezama, Samuel G. Huamán","doi":"10.1109/STSIVA.2019.8730218","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730218","url":null,"abstract":"Nowadays, avocado has strong demand around the world due to its nutritional properties and because it is all year supplied from different parts of the world, being Peru one of the main providers. However, nutrient deficiencies and plague attacks during cultivation stages represent a major difficulty for farmers since early identification of these states (i.e. deficiencies and plagues) is a time-consuming activity that requires trained evaluators to do so. In this paper, an automatic method for identification of avocado leaf state is proposed. This method uses k-means, in a s-v space at superpixel level, to segment leaf from uniform background from images captured in-field in semi-controlled conditions and a shallow neural network to classify composed histograms from segmented leaves into 4 states: Healthy, Fe deficiency, Mg deficiency and red spider plague. The proposed method separates leaf from background with an average F-score of 0.98 and classifies leaf condition with an overall accuracy of 96.8%.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131165830","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: 7
Glaucoma Detection Using Fundus Images of The Eye 利用眼底图像检测青光眼
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730250
Juan Carrillo, L. Bautista, J. Villamizar, J. Rueda, M. Sanchez, Daniela rueda
{"title":"Glaucoma Detection Using Fundus Images of The Eye","authors":"Juan Carrillo, L. Bautista, J. Villamizar, J. Rueda, M. Sanchez, Daniela rueda","doi":"10.1109/STSIVA.2019.8730250","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730250","url":null,"abstract":"Glaucoma is one of the leading causes of irreversible blindness in people over 40 years old. In Colombia there is a high prevalence of the disease, being worse the fact that there is not enough ophthalmologists for the country’s population. Fundus imaging is the most used screening technique for glaucoma detection for its trade-off between portability, size and costs. In this paper we present a computational tool for automatic glaucoma detection. We report improvements for disc segmentation in comparison with other works on the literature, a novel method to segment the cup by thresholding and a new measure between the size of the cup and the size of the disc. Results were obtained from a set of fundus images in collaboration with the Center of Prevention and Attention of Glaucoma in Bucaramanga, Colombia, where the percentage of success of glaucoma detection was of 88.5%.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123477922","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: 45
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
小红书