Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Chen, Keliang* | Zu, Yunxiao | Wang, Danzhi
Affiliations: School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Correspondence: [*] Corresponding author: Keliang Chen, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China. E-mails: chenkeliang1990@bupt.edu.cn or zuyx@bupt.edu.cn, danzhiwang@bupt.edu.cn.
Abstract: In this article, we have designed a fusion media platform that integrates intelligent creation and editing based on Artificial Intelligence Technology. The system includes a content acquisition and intelligent creation module, a multimedia editing module, and a multi-channel integrated publishing and operation module. The content collection and intelligent creation module utilizes the audio and video capture technology of the mobile computer and natural language processing technology to achieve rich media content acquisition and smart embellishment. The multimedia editing module can realize text matching and modification trace preservation, associated content intelligent extraction, and audio and video processing. The multi-channel integrated publishing module utilizes crawling technology and auth2.0 authentication technology to realize seamless interfacing of new media channels such as WeChat, Weibo, headline, Sohu, TV production system, radio production system, newspaper typesetting system, etc. At the same time, the platform can also capture operational data through crawler technology to meet the needs of intelligent operations. The platform has been piloted in a number of press and publication media organizations. Through the results of the operation and the user feedback, the platform can provide a good service for news media workers from content creation, editorial review to channel release. This research will provide a comprehensive working platform for the news publishing media industry, which is of great value for promoting the comprehensive fusion of the media.
Keywords: Natural language processing, intelligent creation, media fusion, artificial intelligence, modifying trace recording
DOI: 10.3233/JCM-204240
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 20, no. 4, pp. 1109-1126, 2020
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl