School of Intellectual Property, Nanjing University of Science & Technology, Nanjing 210094, China.
School of Literature, Journalism & Communication, Henan University of Economics and Law, Zhengzhou 450046, China.
Comput Intell Neurosci. 2022 Mar 16;2022:3510552. doi: 10.1155/2022/3510552. eCollection 2022.
In this paper, an intelligent model is constructed to facilitate real-time dynamic analysis of the factors affecting the export of film and television copyrights and to track the process of spatiotemporal context. The algorithm analyzes the factors affecting the export of film and television copyrights according to actual needs. Through the comparative analysis of experimental models, the influence and optimization of gamma correction and Laplace distribution weighting on spatial context information and confidence map update are verified. In addition, this paper uses the gray relational algorithm to construct an analysis system of factors affecting the export of film and television copyright. The research shows that the analysis model of the influencing factors of film and television copyright export based on the gray relational algorithm can play a very good role in the analysis of these factors.
本文构建了一个智能模型，以方便对影响影视版权出口的因素进行实时动态分析，并跟踪时空上下文的过程。该算法根据实际需要分析影响影视版权出口的因素。通过对实验模型的比较分析，验证了伽马校正和拉普拉斯分布加权对空间上下文信息和置信图更新的影响和优化。此外，本文还使用灰色关联算法构建了一个影响影视版权出口因素的分析系统。研究表明，基于灰色关联算法的影视版权出口影响因素分析模型可以在这些因素的分析中发挥很好的作用。
