当前位置: X-MOL 学术Neural Process Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Multimedia Imaging Model of Information System Based on Self-Organizing Capsule Neural Network and Game Theory
Neural Processing Letters ( IF 2.6 ) Pub Date : 2020-04-30 , DOI: 10.1007/s11063-020-10258-z
Daming Li , Lianbing Deng , Qinglang Su

With the advent of multimedia technology, the application fields of computers are further broadened, such as computers widely used in video conferencing, video telephony, shopping mall shopping guides, tour guides, computer-aided integrated manufacturing systems, geographic information systems, computer-aided teaching, etc., with new The emergence of application fields and the increasing demands of people for complex data management are increasing, and the requirements for database management systems are increasing. In general, numbers and characters are formatted data, and existing database technologies, especially relational database technology, can be used for good access management. However, text, sound, and images are unformatted data, so traditional relational models cannot be described and processed. To this end, people began to research multimedia database technology in order to manage multimedia data. In this paper, we proposed a multimedia model of management system based on self-organizing capsule neural network and game theory. Experimental results show that the proposed method has higher efficiency and robustness.



中文翻译:

基于自组织胶囊神经网络和博弈论的信息系统多媒体成像模型

随着多媒体技术的出现,计算机的应用领域进一步扩大,例如视频会议,视频电话,购物中心购物指南,导游,计算机辅助集成制造系统,地理信息系统,计算机辅助等广泛使用的计算机。随着新的教学等领域的出现,人们对复杂数据管理的需求也在增加,对数据库管理系统的需求也在增加。通常,数字和字符是格式化的数据,并且现有的数据库技术(尤其是关系数据库技术)可以用于良好的访问管理。但是,文本,声音和图像是未格式化的数据,因此无法描述和处理传统的关系模型。为此,人们开始研究多媒体数据库技术以管理多媒体数据。本文提出了一种基于自组织胶囊神经网络和博弈论的管理系统多媒体模型。实验结果表明,该方法具有较高的效率和鲁棒性。

更新日期:2020-04-30
down
wechat
bug