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Proceedings of the International Conference on Video and Image Processing最新文献

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Signal Processing of Ultrasonic Testing of Hardened Layer Depth Based on Wavelet Transform Theory 基于小波变换理论的硬化层深度超声检测信号处理
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177437
Danyang Zhang, L. Yao, Haifeng Zhao
{"title":"Signal Processing of Ultrasonic Testing of Hardened Layer Depth Based on Wavelet Transform Theory","authors":"Danyang Zhang, L. Yao, Haifeng Zhao","doi":"10.1145/3177404.3177437","DOIUrl":"https://doi.org/10.1145/3177404.3177437","url":null,"abstract":"The hardened layer depth of metal parts is one of the important factors to determine its wear resistance and fatigue strength. Ultrasonic backscatter method can realize the nondestructive testing for the hardened layer depth, but the backscattering signal is affected by noise, which leads to the inaccurate test results. In order to improve signal-to-noise ratio and detection accuracy, the wavelet threshold denoising method is used to process the backscattering signal and four threshold selection methods are adopted to compare the denoising results in this paper. The hardened layer depth before and after the signal processing is compared with the result measured by the traditional metallographic method. Ultrasonic backscatter experiments are performed on two kinds of material samples including 45 steel and 42Crmo. The result shows that the scattering echo signal submerged by noise can be revealed after the \"rigrsure\" principle of wavelet threshold denoising and the hardened layer depth obtained by this principle is closer to the metallographic method in both materials.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115744340","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 Automated Testbed for Video Quality Optimization over Lossy Networks 有损网络视频质量优化的自动化测试平台
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177448
A. Khalifeh, Saifaldeen Al-Rawi, Firas Alabsi
{"title":"An Automated Testbed for Video Quality Optimization over Lossy Networks","authors":"A. Khalifeh, Saifaldeen Al-Rawi, Firas Alabsi","doi":"10.1145/3177404.3177448","DOIUrl":"https://doi.org/10.1145/3177404.3177448","url":null,"abstract":"With the wide adoption of video streaming services and applications, it is important to understand the effect of changing different video quality parameters such as the resolution, frames per second, and the compression rate on the perceived video quality as a function of different network impartments, such as packet loss, delay, bandwidth limitation, etc. To achieve that, an automated testbed that can stream a large number of videos, while automatically varying the aforementioned parameters, under different network impartments and conditions and without the user intervention is proposed, which can lead to better realize how the aforementioned parameters can be optimized, as a function of the network impairments. This realization can in turn lead to propose an optimal video adaptation algorithm that gives the user the best video quality for a certain network conditions, which is of high importance especially in todays congested and lossy networks.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123345716","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
Salient Object Detection via Region Shape Feature Contrast and Saliency Fusion 基于区域形状特征对比和显著性融合的显著目标检测
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177430
Xin Ma, Lihua Tian, Chen Li
{"title":"Salient Object Detection via Region Shape Feature Contrast and Saliency Fusion","authors":"Xin Ma, Lihua Tian, Chen Li","doi":"10.1145/3177404.3177430","DOIUrl":"https://doi.org/10.1145/3177404.3177430","url":null,"abstract":"The salient object detection has lately received great attention due to their enhancement for many computer vision applications. Shape information plays an important role in the human vision system while it is underutilized in most existing saliency detection methods. In an effort to overcome this challenge, a novel region shape feature descriptor is proposed. As our best known, we novelly model both local and global contrast in one hand-crafted method. What's more, the most saliency approaches may start with an image segmentation method to get the region patches. However the matching degree of the segmented regions and its extracted features has not been argued clearly. The result shows that our region shape feature as a middle semantic feature could represent the region better than color-based method. Weextensively evaluate our algorithm using traditional salient object detection datasets named Oxford Flower Dataset. Ourexperimental results demonstrate that our algorithm improves the performance of state-of-the-art.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134244669","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 Fourth Order Diffusion Filter for Speckle Noise Removal 一种用于散斑噪声去除的四阶扩散滤波器
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177405
Mahipal Jetta, S. Iliyas, T. Pranihith
{"title":"A Fourth Order Diffusion Filter for Speckle Noise Removal","authors":"Mahipal Jetta, S. Iliyas, T. Pranihith","doi":"10.1145/3177404.3177405","DOIUrl":"https://doi.org/10.1145/3177404.3177405","url":null,"abstract":"Standard second order speckle reducing diffusion filters produce staircase artefacts (step edges) in the filtered image. In this paper we present an anisotropic fourth order diffusion filter with diffusion coeficients as functions of speckle statistics.This filter steers the diffusion unevenly in the directions of gradient and level set, and hence preserves the edges while removing the noise. The experiments show that the proposed filter outperforms the existing second order speckle reducing filters in terms of staircase artefacts without destructing the edges.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124218606","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
Research on Characteristics of Traffic Flow Three Parameters Based on Cusp Catastrophe Theory 基于尖点突变理论的交通流三参数特征研究
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177415
Q. Luo, Shubo Wu, Shuo Zhang
{"title":"Research on Characteristics of Traffic Flow Three Parameters Based on Cusp Catastrophe Theory","authors":"Q. Luo, Shubo Wu, Shuo Zhang","doi":"10.1145/3177404.3177415","DOIUrl":"https://doi.org/10.1145/3177404.3177415","url":null,"abstract":"It is found that cusp catastrophe theory has similar characteristics to the traffic flow three parameters, for this reason, it puts forward a hypothesis that the cusp mutation theory is applied to study characteristics of traffic flow three parameters. At first, the data of traffic flow three parameters on the Huanshixi R.D. (west of the cross-bridge) is collected by the microwave detection method. After suitable transformation of coordinates, the cusp catastrophe theory traffic flow model is established from the perspective of three-dimensional space by combining with the cusp catastrophe theory. The model is used to describe the characteristics of traffic flow three parameters. After detailed analyzing the variation trend of data, the traffic flow three parameters have similar characteristics to the cusp catastrophe theory. Thus it is proved that the cusp catastrophe theory can be used to describe the relationship of traffic flow three parameters.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124511243","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
The Classification of Abnormal Red Blood Cell on The Minor Thalassemia Case Using Artificial Neural Network and Convolutional Neural Network 人工神经网络与卷积神经网络在小地中海贫血患者异常红细胞分类中的应用
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177438
Dyah Aruming Tyas, Tri Ratnaningsih, A. Harjoko, S. Hartati
{"title":"The Classification of Abnormal Red Blood Cell on The Minor Thalassemia Case Using Artificial Neural Network and Convolutional Neural Network","authors":"Dyah Aruming Tyas, Tri Ratnaningsih, A. Harjoko, S. Hartati","doi":"10.1145/3177404.3177438","DOIUrl":"https://doi.org/10.1145/3177404.3177438","url":null,"abstract":"The morphological disorder of the red blood cell is one of the indications of a certain type of diseases. On the minor thalassemia, such cases like the erythrocyte having a nucleus, a few number of the fragment cell and the target cell will be seen. This research study aimed at classifying four types of abnormal blood based on the shape, texture, and colour which was obtained from the image of the peripheral blood smear. The preprocessing stage using histogram equalization, segmentation stage using morphological operation, until feature extraction had been done. On the classification stage, the best accuracy to classify the blood into five types using algorithm of momentum backpropagation neural network was 93.22%, while the result of classification using the convolutional neural network (CNN) was 92.55%.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127377161","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: 12
Object Tracking via Null-space Discriminative Projections and Sparse Representation 基于零空间判别投影和稀疏表示的目标跟踪
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177439
Yue Zheng, Donglei Liu, Q. Ren, Bo Sun, Zhendong Niu
{"title":"Object Tracking via Null-space Discriminative Projections and Sparse Representation","authors":"Yue Zheng, Donglei Liu, Q. Ren, Bo Sun, Zhendong Niu","doi":"10.1145/3177404.3177439","DOIUrl":"https://doi.org/10.1145/3177404.3177439","url":null,"abstract":"The traditional target tracking algorithm based on sparse representation only considers the whole information of the target template without considering the information of the background. Tracking drift is easily happened when the target is disturbed by cluttered background, occlusion and illumination. Aiming at the existing problems, this paper proposes a sparse representation target tracking method based on null-space discriminative projection. On the one hand, the model increases the reconstruction error of the target sample by introducing the null-space discriminative projection method, thus improving the discriminative ability of the algorithm to the target and the background; On the other hand, using the L1 norm as the loss function reduces the sensitivity of the template to the outlier data. In addition, the model designs an online learning algorithm using to update the target tracking template. The tracking algorithm performs the best in the scene with high similarity between target and background. It can also deal with occlusion, illumination changes and other issues. The experimental results show that the proposed method is more stable, reliable and robust than the popular tracking algorithms. The specific experimental results are demonstrated in this paper.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127640879","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
On the study of predictors in Single Shot Multibox Detector 单发多盒探测器中预测器的研究
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177412
Xuemei Xie, Xun Xu, Lihua Ma, Guangming Shi, Pengfei Chen
{"title":"On the study of predictors in Single Shot Multibox Detector","authors":"Xuemei Xie, Xun Xu, Lihua Ma, Guangming Shi, Pengfei Chen","doi":"10.1145/3177404.3177412","DOIUrl":"https://doi.org/10.1145/3177404.3177412","url":null,"abstract":"Single shot multibox detector (SSD) is a state-of-the-art network for real-time object detection. It is originally designed for general datasets. While, for specific datasets, their distribution of ground truth boxes is somehow different and thus, SSD shows unsatisfying performance. In this paper, we improve the performance of SSD on specific datasets. We first dissect the mechanism of predictors, the predicting parameters of a potential detection, in two aspects: classification and localization. Then we reveal the relationship between default boxes and predictors. With this point we finally make an improvement on default box setting and achieve a higher mAP over the original SSD on specific datasets.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121774584","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
Automatic Detection of Microaneurysms in Retinal Images 视网膜图像中微动脉瘤的自动检测
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177453
S. Bharkad
{"title":"Automatic Detection of Microaneurysms in Retinal Images","authors":"S. Bharkad","doi":"10.1145/3177404.3177453","DOIUrl":"https://doi.org/10.1145/3177404.3177453","url":null,"abstract":"Early stage symptom of the diabetic retinopathy is Microaneurysms (MAs). Diabetic retinopathy is graded with the help of number of MAs in fundus image. Detection of MAs in initial stage of diabetic retinopathy may prevent the vision loss. In this work a new approach is proposed for finding the MAs in fundus image. This method follows the three steps for detection of MAs. Enhancement of local contrast of the fundus image and removal of blood vessels are completed in first two steps. In the last step, MAs are detected based on the size and shape features. The proposed method is tested on DIARETDB1 database. The proposed method achieved sensitivity of 87.5% for recognizing MAs in fundus images.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116023180","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
Weld Defect Detection based on Completed Local Ternary Patterns 基于局部完全三元模式的焊缝缺陷检测
Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177456
Kai Yan, Qian Dong, Tingting Sun, Ming Zhang, Siyuan Zhang
{"title":"Weld Defect Detection based on Completed Local Ternary Patterns","authors":"Kai Yan, Qian Dong, Tingting Sun, Ming Zhang, Siyuan Zhang","doi":"10.1145/3177404.3177456","DOIUrl":"https://doi.org/10.1145/3177404.3177456","url":null,"abstract":"Contemporarily, the artificial way to review the X-ray film is a common manner to the Quality Examination for Weld. However, this manner has much subjectivity, which may greatly affect the detection efficiency and accuracy, especially after doing a great deal of repetitive mental work. The automatic welding defect inspection system based on X-ray could overcome the shortcomings of artificial marking. Worldwide researchers have made extensive and in-depth research on defect extraction and recognition, and have achieved a great number of effective research results. However, there are still some issues, such as the accurate detection of small defects in uneven background, and effective classification of various defects and automatic identification. For the issues of the weld image based on X-ray, this paper aims to use common texture features to make feature extraction and improved local binary patterns(LBP) as the foundations to propose the completed local ternary patterns (CLTP) to detect weld defects and use SVM classifier based on binary tree to classify and recognize the weld defects to solve the issues on inaccurate detection of small defects and lack of valid classification.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114920143","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: 9
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