2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

{"title":"Some New Approaches to MPI Implementations and a Possible Path to MPI Evolution","authors":"Yuqing Xiong","doi":"10.1109/CISP-BMEI.2018.8633229","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633229","url":null,"abstract":"This paper consists of two parts. One part is to provides some new approaches to MPI implementations to improve MPI performance. These approaches include dynamically composable libraries, reducing average layer numbers of MPI libraries, and a single entity of MPI-network, MPI-protocol, and MPI. The other is to present a possible path to MPI evolution, which tries to provide solutions to two problems in the current MPI. One problem is that there are some functionalities, like dynamic data structures, the current MPI is lack of, and it seems to be difficult for MPI to extend to cover them. The other is that heterogeneous parallel computing with CPU and accelerator technologies is becoming increasingly important, but the current MPI does not involve accelerators, and it makes programming across CPUs and accelerators difficult in the MPI world. The path to MPI evolution tries to remove the problems by introducing autonomous mini-MPI for the previous problem and by extending MPI-I/O to cover accelerators as a kind of I/O devices for the latter problem.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123772655","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}

{"title":"Research on an Immersive Interior Decoration Experience and Interactive System Based on Virtual Reality","authors":"Jianqiu Fan, Feng-Quan Zhang","doi":"10.1109/CISP-BMEI.2018.8633109","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633109","url":null,"abstract":"As the widespread application of virtual reality, the home improvement industry has gradually applied this technology to promote house interior decoration. Virtual reality can help consumers experience the design of immersion room in advance and avoid money-consuming. In the paper, we research an immersive interior decoration system with HTC Vive headset to meet the demands of various consumers. A menu layout and three attractive room styles are designed for an excellent visual experience. Furthermore, the using method of handle controllers is created to support effective human-computer interaction. In the end, the feedback of the users demonstrate that our system is user-friendly both in visual and interaction.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525080","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}

{"title":"Occlusion Robust Tracking for Multiple Faces with Wavelet Packet Transform Feature and BP Neural Network","authors":"Huihuang Zhao, Han Liu, Jin-Hua Zheng, B. Fu","doi":"10.1109/CISP-BMEI.2018.8633095","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633095","url":null,"abstract":"This paper presents an occlusion robust tracking (0 RT)method for multiple faces tracking. Given a video having multiple faces, we firstly detect faces in the first frame using the off-the-shelf face detector, and then extract wavelet packet transform (WPT)coefficients and color features from the detected faces, finally we design a back propagation (BP)neural network and track the faces by a particle filter and BP neural network. The main contribution is twofold. Firstly, the WPT coefficients combined with traditional color features is utilized to face tracking. It efficiently describes faces due to their discrimination and simplicity. Secondly, we propose an improved tracking method for occlusion robust tracking based on the BP neural network. When there is an occlusion, BP neural network learns from previous tracking results and is utilized to refine the current result from particle filter. Experimental results have been shown that our 0 RT method can handle the occlusion effectively and achieve better performance than several previous methods.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126765153","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}

{"title":"Foreground Segmentation in Video Sequences with a Dynamic Background","authors":"Chu Tang, M. Ahmad, Chunyan Wang","doi":"10.1109/CISP-BMEI.2018.8633130","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633130","url":null,"abstract":"Segmentation of a moving foreground from video sequences, in the presence of a rapidly changing background, is a difficult problem. In this paper, a novel technique for an effective segmentation of the moving foreground from video sequences with a dynamic background is developed. The segmentation problem is treated as a problem of classifying the foreground and background pixels of a video frame using the color components of the pixels as multiple features of the images. The gray levels of the pixels and the hue and saturation level components in the HSV representation of the pixels of a frame are used to form a scalar-valued feature image. This feature image incorporating multiple features of the pixels is then used to devise a simple classification scheme in the framework of a support vector machine classifier. Unlike some other data classification approaches for foreground segmentation in which a priori knowledge of the shape and size of the moving foreground is essential, in the proposed method, training samples are obtained in an automatic manner. In order to assess the effectiveness of the proposed method, the new scheme is applied to a number of video sequences with a dynamic background and the results are compared with those obtained by using other existing methods. The subjective and objective results show the superiority of the proposed scheme in providing a segmented foreground binary mask that fits more closely with the corresponding ground truth mask than those obtained by the other methods do.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126945915","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}

{"title":"Segmentation of Pathological Features of Rat Bile Duct Carcinoma from Hyperspectral Images","authors":"Jiansheng Wang, Menghan Hu, Mei Zhou, Li Sun, Qingli Li","doi":"10.1109/CISP-BMEI.2018.8633189","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633189","url":null,"abstract":"Liver disease has always been one of the key concerns of the medical community. In recent years, liver diagnostic techniques such as serology have been continuously developed, but the pathological diagnosis of the liver, especially the advancement of liver biopsy technology, is still the most reliable basis for the diagnosis and treatment of liver diseases. In this paper, pathological sections of rat bile duct carcinoma were used as experimental samples to identify and analyze liver tumor by microscopic hyperspectral imaging (MHSI)technique. The proposed method combines the Otsu (OTSU)algorithm with the support vector machine (SVM)algorithm to segment the liver tumor, and comparing with SVM segmentation results. Experimental results show that the OTSU-SVM method has an accuracy of 94.59%, which provides a potential reference value for the pathological diagnosis of liver tumors.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116098717","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}

{"title":"Accurate Edge Localization of Complex Workpiece Based on Coarse-to-Fine Principle","authors":"Panjie Zhang, Hongyan Wang, W. Cheng, Jinping Li","doi":"10.1109/CISP-BMEI.2018.8633216","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633216","url":null,"abstract":"The accurate measurement of the heterogeneous surfaces of the complex workpiece is very important. Therefore, it has become a hotspot issue to measure the dimensions of the complex workpiece with high efficiency and accuracy nowadays. Taking the piston as an example, we measure the dimensions of several surfaces by using the approaches of digital image processing. The key point of the measurement is to determine the precise edge of these surfaces. However, in general, it is not an easy job to obtain the accurate edge due to the reflected light of the surface. Otsu binarization is a popular method in computing the surface edge. However, the Otsu binarization does not function well in many cases. After carefully analyzing the advantages and disadvantages of the Otsu method, we put forward a novel technique to obtain the precise edge by employing the coarse-to-fine principle. Firstly, we preprocess the image; including converting the image to a grayscale image and stretching the image gray level. Secondly, we use the sub-pixel interpolation to magnify the processed image by 1.3 times. Thirdly, we employ the Otsu method to perform the binarization operation on the magnified image, perform horizontal histogram projection and vertical histogram projection, respectively. Fourthly, estimating the radius length and the circle central coordinates. Fifthly, we estimate peripheral points of the top circle according to the radius length and the circle central coordinates, and take this point as the center and get the appropriate proportion rectangle according to the radius length. Finally, we intercept the image in the rectangle and perform the local binarization operation. The method fully takes into account the situation that we cannot get the accurate edge through global binarization for severe reflection of the workpiece which causes the uneven gray-level distribution. Our method improves the detection accuracy of a single pixel by 0.036 millimeters when the image resolution is not high.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688611","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}

{"title":"Face Expression Recognition Based on Deep Convolution Network","authors":"Minjun Wang, Zhihui Wang, Shaohui Zhang, J. Luan, Zezhong Jiao","doi":"10.1109/CISP-BMEI.2018.8633014","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633014","url":null,"abstract":"A method based on depth volume and network for facial expression recognition was proposed. This method takes the facial expression image as the input of the CNN and trains the CNN network, and then uses the trained network to perform facial expression recognition. This paper uses jaffe and ck+ two face expression libraries to verify the algorithm, proves the effectiveness of the algorithm, and shows that its performance is better than the traditional method.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122904495","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}

{"title":"Research of Multimedia Decision Making Model in Video Resources","authors":"Shan Liu, Tongtong Liu, Jianping Chai","doi":"10.1109/CISP-BMEI.2018.8633105","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633105","url":null,"abstract":"With the continuous development of Internet technology, using the Internet platform to watch online videos has become one of the main activities of people's Internet activities. However, with the dramatic increase in the number of video resources on the Internet, massive media resources have not been effectively disseminated. For major video websites, how to expand the scope of video distribution and increase revenue has become one of its key issues. This paper established a multimedia decision making model in video resources by introducing game theory. The main research is the confrontational relationship between video resources and viewing users. Through solving and analyzing some key factors that affect the behavior of game players, we provided decision-making and recommendations. Moreover, the paper proposed corresponding countermeasures and suggestions from the perspective of video resources to provide guidance and help in expanding the scope of communication.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121911208","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}

{"title":"Classification of Computerized Tomography Images of Endemic Liver Hydatid in Xinjiang Based on Decision Tree","authors":"Azmat Rozjan, Roxangul Arxidin, Nadiya Abdukeyim, Chuanbo Yan, A. Kutluk, M. Hamit, Juan Yao, W. Liu","doi":"10.1109/CISP-BMEI.2018.8633122","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633122","url":null,"abstract":"Objective: to assess the classification capability dealing with CT images, by means of Decision Tree classifier. Methods: the CT images were provided by the hospital was used as the data source. In this study.normal liver, Single cystic hepatic hydatid and Polycystic hepatic hydatid CT images were selected.each 200 pieces. Then the texture features were extracted by gray gradient co-occurrence matrix(GGCM) and gray scale histogram. At last. Decision tree classifier were used for classification, which aimed to verify Which feature is more suitable for decision tree classification, and Parameter estimation is used to evaluate the classifier model. Results: For normal liver, Single cystic hepatic hydatid and Polycystic hepatic hydatid, the classification accuracy of gray level co-occurrence matrix was 71%,69% and 69%, respectively. the classification accuracy of gray scale histogram was 74%,63.5% and 69%.the classification accuracy of comprehensive features was 75%, 70.5% and 80.5%. Conclusion: The classification accuracy of comprehensive feature is 11.5% higher than that of single features, which are more suitable for the classification of polycystic hepatic hydatid images. This algorithm can provide reference for the classification of CT images.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129943723","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}

{"title":"A Blind 3D Point Cloud Watermarking Algorithm Based on Azimuth Angle Modulation","authors":"Jing Liu, Yajie Yang, Douli Ma","doi":"10.1109/CISP-BMEI.2018.8633259","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2018.8633259","url":null,"abstract":"A new blind watermarking algorithm of 3D point cloud model by using azimuth angle modulation is proposed. The concave vertices with mean curvature lesser than 0 are used as feature vertices, and the rest vertices are considered to establish an invariant space for the greater robustness. The watermarking information is embedded repeatedly by modulating azimuth angle of feature vertices lying in different regions. Sub-regional embedding and redundant embedding enhance the performance of algorithm against common attacks. Experimental results demonstrate the proposed algorithm offers the better imperceptibility and robustness.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128570250","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}