{"title":"Production and dissemination path of new media film and television content based on 5G technology","authors":"Beibei Zhang , Likang Shao","doi":"10.1016/j.entcom.2024.100852","DOIUrl":null,"url":null,"abstract":"<div><p>Using new media to enhance the visual and creative quality of cinema and television works may also give a new means for the general public to create and distribute these works, improving the ease of film and television production and distribution. This paper studies the production and dissemination paths of new media film and television content based on 5G technology and then uses neural networks to evaluate the effectiveness of the method and complete the following work: 1) To begin, we’ll discuss the current state of new media film and television production and distribution research both domestically and internationally. 2) The development approach of film and television production and dissemination under the new media environment is proposed. The basic principles of BPNN and PSO are introduced, and then the PSO-BP model is constructed. 3) Collect the experimental data set and then select the optimal parameters of the model through experiments. The experimental results obtained by inputting the test data into the model are compared with the actual values, and it is found that the error between the estimated value of the model and the exact value is tiny.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100852"},"PeriodicalIF":2.8000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entertainment Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1875952124002209","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Using new media to enhance the visual and creative quality of cinema and television works may also give a new means for the general public to create and distribute these works, improving the ease of film and television production and distribution. This paper studies the production and dissemination paths of new media film and television content based on 5G technology and then uses neural networks to evaluate the effectiveness of the method and complete the following work: 1) To begin, we’ll discuss the current state of new media film and television production and distribution research both domestically and internationally. 2) The development approach of film and television production and dissemination under the new media environment is proposed. The basic principles of BPNN and PSO are introduced, and then the PSO-BP model is constructed. 3) Collect the experimental data set and then select the optimal parameters of the model through experiments. The experimental results obtained by inputting the test data into the model are compared with the actual values, and it is found that the error between the estimated value of the model and the exact value is tiny.
期刊介绍:
Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.