With the advantages of non ionizing radiation, real-time imaging, multi-directional tomography and dynamic observation of blood flow, B-mode ultrasound has become the preferred method for imaging examination of some organs such as liver, gallbladder, pancreas and spleen. On the one hand, the B-ultrasound diagnostic doctor fixed his eyes on the screen of B- ultrasound monitor, on the other hand, he operated the probe to move on the patient's position to be examined. With dozens of patients are examined every day, so B-mode ultrasound doctors often work at full-load every day and lead to eye fatigue. Eye fatigue easily causes erroneous diagnosis or missed diagnosis. With the development of artificial intelligence technology and computer technology, more and more work done by human can be completed by computer instead. The computer will not feel fatigue for long working hours, and its analysis has objectivity and consistency. Therefore, computer-aided diagnosis is an urgent need in the field of B-mode ultrasound. Random forests algorithm is a machine learning algorithm based on decision tree, which can be used for classification. In this study, a B-mode ultrasound texture recognition algorithm for liver based on random forests is established. Compared with CART decision tree algorithm with sufficient samples, it is found that random forests is superior to CART decision tree in the accuracy of texture recognition, so random forests has a good application prospect in the analysis of B-mode ultrasound texture and computer aided diagnosis of diseases.
{"title":"B-mode Ultrasound Texture Recognition Algorithm of Liver Based on Random Forests","authors":"Hongbin Li, Lihua Yang, T. He, Yingcong Xiao, Zhonghua Liang, Xiaoming Wu","doi":"10.1109/CISP-BMEI51763.2020.9263593","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263593","url":null,"abstract":"With the advantages of non ionizing radiation, real-time imaging, multi-directional tomography and dynamic observation of blood flow, B-mode ultrasound has become the preferred method for imaging examination of some organs such as liver, gallbladder, pancreas and spleen. On the one hand, the B-ultrasound diagnostic doctor fixed his eyes on the screen of B- ultrasound monitor, on the other hand, he operated the probe to move on the patient's position to be examined. With dozens of patients are examined every day, so B-mode ultrasound doctors often work at full-load every day and lead to eye fatigue. Eye fatigue easily causes erroneous diagnosis or missed diagnosis. With the development of artificial intelligence technology and computer technology, more and more work done by human can be completed by computer instead. The computer will not feel fatigue for long working hours, and its analysis has objectivity and consistency. Therefore, computer-aided diagnosis is an urgent need in the field of B-mode ultrasound. Random forests algorithm is a machine learning algorithm based on decision tree, which can be used for classification. In this study, a B-mode ultrasound texture recognition algorithm for liver based on random forests is established. Compared with CART decision tree algorithm with sufficient samples, it is found that random forests is superior to CART decision tree in the accuracy of texture recognition, so random forests has a good application prospect in the analysis of B-mode ultrasound texture and computer aided diagnosis of diseases.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115130437","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}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263607
Changli Li, H. Kwan, Xinxin Qin
For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the system impulse response is much shorter, the overlap and add method (OA), and the overlap and save method (OS) are efficient for calculating the response. During the calculation, the long input sequence is sectioned into short blocks and the block circular convolution is computed by the fast Fourier transform (FFT) algorithm. In this paper, we revisit the linear convolution and circular convolution, bring some new perspectives, and make detailed explanations for OA and OS. Firstly, based on the definition of linear convolution, we make comments and also propose a so-called tabulation method for it. Then we establish a relationship between the circular convolution and linear convolution of two same finite-length sequences, and derive a similar tabulation method for the circular convolution. Moreover, we provide an interpretation for OA from the point of view of the tabulation method. Finally, after illustrating OS, we provide a sound proof for it based on the derived relationship between the linear convolution and circular convolution and also make some comments on it.
{"title":"Revisiting Linear Convolution, Circular Convolution and Their Related Methods","authors":"Changli Li, H. Kwan, Xinxin Qin","doi":"10.1109/CISP-BMEI51763.2020.9263607","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263607","url":null,"abstract":"For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the system impulse response is much shorter, the overlap and add method (OA), and the overlap and save method (OS) are efficient for calculating the response. During the calculation, the long input sequence is sectioned into short blocks and the block circular convolution is computed by the fast Fourier transform (FFT) algorithm. In this paper, we revisit the linear convolution and circular convolution, bring some new perspectives, and make detailed explanations for OA and OS. Firstly, based on the definition of linear convolution, we make comments and also propose a so-called tabulation method for it. Then we establish a relationship between the circular convolution and linear convolution of two same finite-length sequences, and derive a similar tabulation method for the circular convolution. Moreover, we provide an interpretation for OA from the point of view of the tabulation method. Finally, after illustrating OS, we provide a sound proof for it based on the derived relationship between the linear convolution and circular convolution and also make some comments on it.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696313","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}
The contact between the electrodes in the electroencephalogram (EEG) machine and the scalp has a great influence on the quality of the EEG. In order to guarantee the quality of the collected brain waves, we designed an embedded real-time impedance measurement system for the EEG. The system uses the ADS1299 chip, which depends on the on-chip current source to generate an alternating current which is higher than the frequency of the EEG signal as the output signal for impedance measurement. After A/D conversion, the obtained signals contain both EEG signals and impedance measurement signals. Furthermore, the system uses stm32f723 as the main control chip to design a filter to separate the two kinds of signals, and calculate the impedance value between the electrode and scalp in real time. In this system, the EEG signal and the impedance value data are stored in the SD card in BDF format at the same time, which provides the basis for judging the effective EEG data in the later signal processing. At the same time, the impedance value is compared with the preset threshold, and the LED is used to indicate whether the scalp is in good contact. Based on stm32F723 embedded system, the whole system has high integration, small volume, high measurement accuracy and strong real-time performance, which is of great significance for obtaining high-quality EEG data.
{"title":"A Real-Time Impedance Measurement System for EEG Based on Embedded System","authors":"Peng Shen, Yunqing Liu, Wenqiang Xiong, Aijun He, Mengya Zhang","doi":"10.1109/CISP-BMEI51763.2020.9263533","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263533","url":null,"abstract":"The contact between the electrodes in the electroencephalogram (EEG) machine and the scalp has a great influence on the quality of the EEG. In order to guarantee the quality of the collected brain waves, we designed an embedded real-time impedance measurement system for the EEG. The system uses the ADS1299 chip, which depends on the on-chip current source to generate an alternating current which is higher than the frequency of the EEG signal as the output signal for impedance measurement. After A/D conversion, the obtained signals contain both EEG signals and impedance measurement signals. Furthermore, the system uses stm32f723 as the main control chip to design a filter to separate the two kinds of signals, and calculate the impedance value between the electrode and scalp in real time. In this system, the EEG signal and the impedance value data are stored in the SD card in BDF format at the same time, which provides the basis for judging the effective EEG data in the later signal processing. At the same time, the impedance value is compared with the preset threshold, and the LED is used to indicate whether the scalp is in good contact. Based on stm32F723 embedded system, the whole system has high integration, small volume, high measurement accuracy and strong real-time performance, which is of great significance for obtaining high-quality EEG data.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127090156","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}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263626
Yinhui Ren, Zhihui Wang, Daoerji Fan
3D reconstruction from monocular images is an essential part of machine vision. The effective reconstruction of 3D models of objects or scenes has become a research focus in computer vision. In this article, we concentrate on restoring the 3D model through the depth information of a monocular image. First and foremost, we use deep learning to get the depth of a single image. Next, the point cloud is reconstructed from the depth map according to the camera parameters to achieve the purpose of the 3D reconstruction. Compared with traditional methods, our approach is faster and more relaxed, and the reconstructed three-dimensional information of scenes can be recovered efficiently, our reconstructed 3D models also have better authenticity.
{"title":"3D Reconstruction From Monocular Images Based on Deep Convolutional Networks","authors":"Yinhui Ren, Zhihui Wang, Daoerji Fan","doi":"10.1109/CISP-BMEI51763.2020.9263626","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263626","url":null,"abstract":"3D reconstruction from monocular images is an essential part of machine vision. The effective reconstruction of 3D models of objects or scenes has become a research focus in computer vision. In this article, we concentrate on restoring the 3D model through the depth information of a monocular image. First and foremost, we use deep learning to get the depth of a single image. Next, the point cloud is reconstructed from the depth map according to the camera parameters to achieve the purpose of the 3D reconstruction. Compared with traditional methods, our approach is faster and more relaxed, and the reconstructed three-dimensional information of scenes can be recovered efficiently, our reconstructed 3D models also have better authenticity.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127092227","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}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263592
Wei-hua An, Dongying Liu
A technology of immersive Chinese brush writing simulation is implemented. Firstly, we combine various animation methods, and fully realize multiple brush deformations such as bending, twisting, flattening, and forking in real time. Secondly, through the construction of an ink texture library and the reasonable design of texture selection and fusion, we achieve the half-dry hollow stroke effect in Chinese calligraphy works. The experimental results show that our technology can well support immersive calligraphy practice.
{"title":"Modeling of Chinese Brush Deformation Behaviors and Real-time Simulation of Half-dry Strokes","authors":"Wei-hua An, Dongying Liu","doi":"10.1109/CISP-BMEI51763.2020.9263592","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263592","url":null,"abstract":"A technology of immersive Chinese brush writing simulation is implemented. Firstly, we combine various animation methods, and fully realize multiple brush deformations such as bending, twisting, flattening, and forking in real time. Secondly, through the construction of an ink texture library and the reasonable design of texture selection and fusion, we achieve the half-dry hollow stroke effect in Chinese calligraphy works. The experimental results show that our technology can well support immersive calligraphy practice.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124775472","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}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263679
Xiaoke Lu, Xinyue Zhao, Jinping Sun
In order to improve the performance of maneuvering target tracking in complex observation scenarios, a composite expanding memory polynomial (EMP)/fading memory polynomial (FMP) filtering algorithm based on the polynomial filter is proposed. According to the analysis of the advantages and disadvantages of four forms of polynomial filters, the composite EMP/FMP filter is constructed by combining the self-initialization of EMP filter with the indefinite tracking of FMP filter. Additionally, there is no transient phenomenon when switching two filters. Then, the filter which applies the EMP/FMP filter as the pre-filter, and the unscented Kalman filter (UKF) as the main filter is simulated. The experimental results indicate that the EMP/FMP pre-filter enhances the quality of measurements, and effectively improves the target tracking performance of UKF for maneuvering target.
{"title":"A Novel Maneuvering Target Tracking Algorithm Using Polynomial Filter","authors":"Xiaoke Lu, Xinyue Zhao, Jinping Sun","doi":"10.1109/CISP-BMEI51763.2020.9263679","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263679","url":null,"abstract":"In order to improve the performance of maneuvering target tracking in complex observation scenarios, a composite expanding memory polynomial (EMP)/fading memory polynomial (FMP) filtering algorithm based on the polynomial filter is proposed. According to the analysis of the advantages and disadvantages of four forms of polynomial filters, the composite EMP/FMP filter is constructed by combining the self-initialization of EMP filter with the indefinite tracking of FMP filter. Additionally, there is no transient phenomenon when switching two filters. Then, the filter which applies the EMP/FMP filter as the pre-filter, and the unscented Kalman filter (UKF) as the main filter is simulated. The experimental results indicate that the EMP/FMP pre-filter enhances the quality of measurements, and effectively improves the target tracking performance of UKF for maneuvering target.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115322998","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}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263595
Bo Hua
Removal of the artifacts caused by eye movement is the necessary step in EEG (electroencephalogram) preprocessing. In this paper, we study the adaptive filtering algorithm for artifacts removal of eye movement and present a new LMS (Least Mean Square) based algorithm, by using eye movement artifact signal as a reference signal and take the error signal of the LMS system as the estimated EEG signal to achieve a significantly higher signal to noise ratio (SNR). In the experiments with real EEG data, we measure the mutual information (MI) and coherence (COH) that show the output of the new algorithm have better consistency with the original EEG signal. We also calculate the approximate entropy that indicates the output of the new algorithm better maintains nonlinear characteristics of the EEG signal.
去除眼动引起的伪影是脑电图预处理的必要步骤。本文研究了眼动伪影去除的自适应滤波算法，提出了一种新的基于LMS (Least Mean Square)的算法，该算法以眼动伪影信号为参考信号，以LMS系统的误差信号作为估计的脑电信号，实现了明显较高的信噪比(SNR)。在真实脑电信号实验中，通过互信息(MI)和相干性(COH)的测量，表明新算法的输出与原始脑电信号有较好的一致性。我们还计算了近似熵，表明新算法的输出更好地保持了脑电信号的非线性特征。
{"title":"Improved Adaptive Filtering based Artifact Removal from EEG Signals","authors":"Bo Hua","doi":"10.1109/CISP-BMEI51763.2020.9263595","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263595","url":null,"abstract":"Removal of the artifacts caused by eye movement is the necessary step in EEG (electroencephalogram) preprocessing. In this paper, we study the adaptive filtering algorithm for artifacts removal of eye movement and present a new LMS (Least Mean Square) based algorithm, by using eye movement artifact signal as a reference signal and take the error signal of the LMS system as the estimated EEG signal to achieve a significantly higher signal to noise ratio (SNR). In the experiments with real EEG data, we measure the mutual information (MI) and coherence (COH) that show the output of the new algorithm have better consistency with the original EEG signal. We also calculate the approximate entropy that indicates the output of the new algorithm better maintains nonlinear characteristics of the EEG signal.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"591 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122934837","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}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263525
Hongkai Wang, Yiyang Yao, Xiaohui Wang, Xiaoyi Wang, L. Zeng, Weiwei Qiu, Dong He, Qiang Wang
With the low carbon emission target out of protecting environment, electric vehicle is a promising transportation tool. The number of electric vehicles is rising rapidly in recent years which creates lots of corresponding charging demands. With both users and charging piles rising, however, condition of charging pile and price of electricity in different district are not transparent for users. In order to promote the benign interaction of production, distribution and consumption of green power, merging blockchain technology is a promising strategy. Unchangeable and traceable property of blockchain can make green power traceable. In this paper, a green power traceable system based on blockchain technology is proposed for providing convenient green power charging services for users. This system consists of main chain, transaction side chain and data side chain. Through the three dimensions of quantity, price and time, the type of energy and the region can be traced. In this system, we proposed a fast tracing technology based on index by timestamp. Experiment contrast index technology with traversal and smart contact. It shows that index by timestamp technology is more effective than traversal and smart contract.
{"title":"A Green Power Traceability Technology Based on Timestamp in a Main-Side Chain System","authors":"Hongkai Wang, Yiyang Yao, Xiaohui Wang, Xiaoyi Wang, L. Zeng, Weiwei Qiu, Dong He, Qiang Wang","doi":"10.1109/CISP-BMEI51763.2020.9263525","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263525","url":null,"abstract":"With the low carbon emission target out of protecting environment, electric vehicle is a promising transportation tool. The number of electric vehicles is rising rapidly in recent years which creates lots of corresponding charging demands. With both users and charging piles rising, however, condition of charging pile and price of electricity in different district are not transparent for users. In order to promote the benign interaction of production, distribution and consumption of green power, merging blockchain technology is a promising strategy. Unchangeable and traceable property of blockchain can make green power traceable. In this paper, a green power traceable system based on blockchain technology is proposed for providing convenient green power charging services for users. This system consists of main chain, transaction side chain and data side chain. Through the three dimensions of quantity, price and time, the type of energy and the region can be traced. In this system, we proposed a fast tracing technology based on index by timestamp. Experiment contrast index technology with traversal and smart contact. It shows that index by timestamp technology is more effective than traversal and smart contract.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124573575","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}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263579
Fanqing Meng
This paper proposes a graph and word similarity method for word sense disambiguation. Perform word sense mapping on the context words of a given ambiguous sentence to obtain the corresponding English words; compute the English word similarity of the obtained English words, and take the English words as vertices, the semantic relations between words as edges, and the similarity values as edges to construct a disambiguation graph; the graph scoring algorithm is used to score the importance of each word sense of the disambiguated words, and the highest score is selected as the final correct word sense. The experimental results show it can effectively use English knowledge resources and obtain a disambiguation accuracy rate of 0.451 on the SemEval-2007 task#5 dataset, which can improve the accuracy of Chinese word sense disambiguation.
{"title":"Graph and Word Similarity for Word Sense Disambiguation","authors":"Fanqing Meng","doi":"10.1109/CISP-BMEI51763.2020.9263579","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263579","url":null,"abstract":"This paper proposes a graph and word similarity method for word sense disambiguation. Perform word sense mapping on the context words of a given ambiguous sentence to obtain the corresponding English words; compute the English word similarity of the obtained English words, and take the English words as vertices, the semantic relations between words as edges, and the similarity values as edges to construct a disambiguation graph; the graph scoring algorithm is used to score the importance of each word sense of the disambiguated words, and the highest score is selected as the final correct word sense. The experimental results show it can effectively use English knowledge resources and obtain a disambiguation accuracy rate of 0.451 on the SemEval-2007 task#5 dataset, which can improve the accuracy of Chinese word sense disambiguation.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130643123","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}
International image is the window of a country to the world. This paper introduces how we use technologies such as reptile technology, natural language processing, clustering, and data visualization to collect relevant information about film and television works and analyze the internationally spread image of China’s film and television works. In addition, an emotion dictionary is established, the emotion index is calculated, and the positiveness of the image is evaluated. Finally, a prediction system was established, and the two functions of the prediction of communication image and recommendation of communication strategy are realized through preset algorithms. The system can be applied to the work of cultural transmission to help build a national image consistent with China’s long-standing culture and prosperity.
{"title":"A Realization Framework of International Image Prediction System for Film and TV Works","authors":"Shan Liu, Xiaoqing Wu, Mingyue Zheng, Xinqiao Cheng, Ruijing Fang, Pingru Long","doi":"10.1109/CISP-BMEI51763.2020.9263494","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263494","url":null,"abstract":"International image is the window of a country to the world. This paper introduces how we use technologies such as reptile technology, natural language processing, clustering, and data visualization to collect relevant information about film and television works and analyze the internationally spread image of China’s film and television works. In addition, an emotion dictionary is established, the emotion index is calculated, and the positiveness of the image is evaluated. Finally, a prediction system was established, and the two functions of the prediction of communication image and recommendation of communication strategy are realized through preset algorithms. The system can be applied to the work of cultural transmission to help build a national image consistent with China’s long-standing culture and prosperity.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130657317","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}
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