The development course of China's meteorological movie and television was analyzed firstly, and then the improvement strategies of meteorological movie and television services facing public needs were put forward bas...The development course of China's meteorological movie and television was analyzed firstly, and then the improvement strategies of meteorological movie and television services facing public needs were put forward based on the statistical results of a meteorological service questionnaire.展开更多
In this paper, we conduct research on the development direction of traditional broadcast television movie media under background of new media and lnternet. In recent years, with the computer technology network communi...In this paper, we conduct research on the development direction of traditional broadcast television movie media under background of new media and lnternet. In recent years, with the computer technology network communication technology and constant innovation rapid development of digital technology, digital new media got rapid development. Under the digital new media industry has gradually become the core industry of 21 st century knowledge economy and the new economic growth point. But there are still some problems in the digital of new media development. How to treat these problems to take effective countermeasures is vital to healthy development of the new media. Our research proposes corresponding guidance and the perspective on the development orientation which acts as the paradigm and the guideline.展开更多
Culture is the accumulation of life style and idea. As the container of culture, movies become the most important media of cross-cultural communication. This paper explains movie's significance for cross-cultural ...Culture is the accumulation of life style and idea. As the container of culture, movies become the most important media of cross-cultural communication. This paper explains movie's significance for cross-cultural communication, it tells of the inter-effects on life and spirit between Chinese and American, it provides the strategy for cross-cultural communication for movies.展开更多
“It is not as easy as it looks,”Holden Thorp,Science’s chief editor,commented at the end of 2021,when explaining new research findings of the COVID-19 pandemic to the public had encountered great difficulties.1 As ...“It is not as easy as it looks,”Holden Thorp,Science’s chief editor,commented at the end of 2021,when explaining new research findings of the COVID-19 pandemic to the public had encountered great difficulties.1 As a matter of fact,science communication has never been easy because serious scientific knowledge is prone to be boring rather than interesting.There is only one atypical medium for science communication,i.e.,the science fiction movie(sci-fi movie for short),that has a huge amount of fans.展开更多
For the task of content retrieval,analysis and generation of film and television scene images in the field of intelligent editing,fine-grained emotion recognition and prediction of images is of great significance.In t...For the task of content retrieval,analysis and generation of film and television scene images in the field of intelligent editing,fine-grained emotion recognition and prediction of images is of great significance.In this paper,the fusion of traditional perceptual features,art features and multi-channel deep learning features are used to reflect the emotion expression of different levels of the image.In addition,the integrated learning model with stacking architecture based on linear regression coefficient and sentiment correlations,which is called the LS-stacking model,is proposed according to the factor association between multi-dimensional emotions.The experimental results prove that the mixed feature and LS-stacking model can predict well on the 16 emotion categories of the self-built image dataset.This study improves the fine-grained recognition ability of image emotion by computers,which helps to increase the intelligence and automation degree of visual retrieval and post-production system.展开更多
As cross-cultural communication gains growing popularity in our global world,heavy emphasis has been placed on a better understanding of cultural differences among countries.Gua Sha is such a movie that epitomizes the...As cross-cultural communication gains growing popularity in our global world,heavy emphasis has been placed on a better understanding of cultural differences among countries.Gua Sha is such a movie that epitomizes the existing cultural differences between China and America.It is to firstly make a brief introduction of the plot and then analyze the causes of various cultural conflicts and finally put forward some suggestions to help avoid these conflicts in cross-cultural communication.展开更多
Broadcasting gateway equipment generally uses a method of simply switching to a spare input stream when a failure occurs in a main input stream.However,when the transmission environment is unstable,problems such as re...Broadcasting gateway equipment generally uses a method of simply switching to a spare input stream when a failure occurs in a main input stream.However,when the transmission environment is unstable,problems such as reduction in the lifespan of equipment due to frequent switching and interruption,delay,and stoppage of services may occur.Therefore,applying a machine learning(ML)method,which is possible to automatically judge and classify network-related service anomaly,and switch multi-input signals without dropping or changing signals by predicting or quickly determining the time of error occurrence for smooth stream switching when there are problems such as transmission errors,is required.In this paper,we propose an intelligent packet switching method based on the ML method of classification,which is one of the supervised learning methods,that presents the risk level of abnormal multi-stream occurring in broadcasting gateway equipment based on data.Furthermore,we subdivide the risk levels obtained from classification techniques into probabilities and then derive vectorized representative values for each attribute value of the collected input data and continuously update them.The obtained reference vector value is used for switching judgment through the cosine similarity value between input data obtained when a dangerous situation occurs.In the broadcasting gateway equipment to which the proposed method is applied,it is possible to perform more stable and smarter switching than before by solving problems of reliability and broadcasting accidents of the equipment and can maintain stable video streaming as well.展开更多
文摘The development course of China's meteorological movie and television was analyzed firstly, and then the improvement strategies of meteorological movie and television services facing public needs were put forward based on the statistical results of a meteorological service questionnaire.
文摘In this paper, we conduct research on the development direction of traditional broadcast television movie media under background of new media and lnternet. In recent years, with the computer technology network communication technology and constant innovation rapid development of digital technology, digital new media got rapid development. Under the digital new media industry has gradually become the core industry of 21 st century knowledge economy and the new economic growth point. But there are still some problems in the digital of new media development. How to treat these problems to take effective countermeasures is vital to healthy development of the new media. Our research proposes corresponding guidance and the perspective on the development orientation which acts as the paradigm and the guideline.
文摘Culture is the accumulation of life style and idea. As the container of culture, movies become the most important media of cross-cultural communication. This paper explains movie's significance for cross-cultural communication, it tells of the inter-effects on life and spirit between Chinese and American, it provides the strategy for cross-cultural communication for movies.
基金This work is funded by the National Natural Science Foundation of China(no.62172393)Zhongyuanyingcai Program-funded to Central Plains Science and Technology Innovation Leading Talent Program(no.204200510002)+1 种基金the Major Public Welfare Project of Henan Province(no.201300311200)the Ministry of Education Industry Education Collaborative Education Project(Multi-agent Artificial Intelligence Course Construction)funded by Tencent(no.230700006203144)。
文摘“It is not as easy as it looks,”Holden Thorp,Science’s chief editor,commented at the end of 2021,when explaining new research findings of the COVID-19 pandemic to the public had encountered great difficulties.1 As a matter of fact,science communication has never been easy because serious scientific knowledge is prone to be boring rather than interesting.There is only one atypical medium for science communication,i.e.,the science fiction movie(sci-fi movie for short),that has a huge amount of fans.
基金Supported by the Open Project of Key Laboratory of Audio and Video Restoration and Evaluation(2021KFKT005)。
文摘For the task of content retrieval,analysis and generation of film and television scene images in the field of intelligent editing,fine-grained emotion recognition and prediction of images is of great significance.In this paper,the fusion of traditional perceptual features,art features and multi-channel deep learning features are used to reflect the emotion expression of different levels of the image.In addition,the integrated learning model with stacking architecture based on linear regression coefficient and sentiment correlations,which is called the LS-stacking model,is proposed according to the factor association between multi-dimensional emotions.The experimental results prove that the mixed feature and LS-stacking model can predict well on the 16 emotion categories of the self-built image dataset.This study improves the fine-grained recognition ability of image emotion by computers,which helps to increase the intelligence and automation degree of visual retrieval and post-production system.
文摘As cross-cultural communication gains growing popularity in our global world,heavy emphasis has been placed on a better understanding of cultural differences among countries.Gua Sha is such a movie that epitomizes the existing cultural differences between China and America.It is to firstly make a brief introduction of the plot and then analyze the causes of various cultural conflicts and finally put forward some suggestions to help avoid these conflicts in cross-cultural communication.
基金This work was supported by a research grant from Seoul Women’s University(2023-0183).
文摘Broadcasting gateway equipment generally uses a method of simply switching to a spare input stream when a failure occurs in a main input stream.However,when the transmission environment is unstable,problems such as reduction in the lifespan of equipment due to frequent switching and interruption,delay,and stoppage of services may occur.Therefore,applying a machine learning(ML)method,which is possible to automatically judge and classify network-related service anomaly,and switch multi-input signals without dropping or changing signals by predicting or quickly determining the time of error occurrence for smooth stream switching when there are problems such as transmission errors,is required.In this paper,we propose an intelligent packet switching method based on the ML method of classification,which is one of the supervised learning methods,that presents the risk level of abnormal multi-stream occurring in broadcasting gateway equipment based on data.Furthermore,we subdivide the risk levels obtained from classification techniques into probabilities and then derive vectorized representative values for each attribute value of the collected input data and continuously update them.The obtained reference vector value is used for switching judgment through the cosine similarity value between input data obtained when a dangerous situation occurs.In the broadcasting gateway equipment to which the proposed method is applied,it is possible to perform more stable and smarter switching than before by solving problems of reliability and broadcasting accidents of the equipment and can maintain stable video streaming as well.