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基于多主体的电影剪辑协作系统。

Multi-Agent-Based Film Editing Collaboration System.

机构信息

Xi'an Shiyou University, Shaanxi 710065, Xi'an, China.

出版信息

Comput Intell Neurosci. 2022 Jul 1;2022:1327620. doi: 10.1155/2022/1327620. eCollection 2022.

DOI:10.1155/2022/1327620
PMID:35814531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9270155/
Abstract

In order to realize the effective cooperation between editor agents in the film and television editing collaboration system, it is analyzed that the state change of the film and television editing and production process is affected by the cross influence of multiple factors. A single agent can no longer satisfy the current film and television production. From the point of view of system theory, this article constructs the learner agent in the film and television editing system by introducing a new cooperation mechanism-the multi-agent collaborative system model. Collaboration and cooperation between multiple agents and the reinforcement learning between multiple editor agents are realized based on the film and television editing system between multiple agents. The operation mechanism of the separate organization is organized together, cooperates with each other and works in harmony to complete the collaborative effect of the film and television editing system, and can improve the interaction efficiency between the editor agents. Agent film and television editing's cooperative learning approach allows for successful collaboration among editor agents. The Bayesian technique is utilized in this study to assess the likelihood of effective cooperation between two agents, and a trust model based on this method is presented, making up for the shortcomings of the existing collaborative learning system. The multi-agent collaboration system will be utilized for production in the film and television editing collaboration system. Many of the movie's scenes and segments are created using computer technology special effects, giving viewers a very unique experience and a feast for the eyes and ears.

摘要

为了实现影视编辑协同系统中编辑代理之间的有效合作,分析了影视编辑制作过程的状态变化受到多因素交叉影响的情况。单一代理已不能满足当前影视制作的需要。从系统理论的角度出发,通过引入新的合作机制——多代理协同系统模型,构建了影视编辑系统中的学习者代理。基于多代理的影视编辑系统实现了多个代理之间的协作与合作以及多个编辑代理之间的强化学习。将独立组织的运作机制组织在一起,相互协作,和谐工作,完成影视编辑系统的协同效果,提高编辑代理之间的交互效率。代理影视编辑的协同学习方法可以实现编辑代理之间的成功协作。本研究利用贝叶斯技术评估两个代理之间有效合作的可能性,并提出了一种基于该方法的信任模型,弥补了现有协同学习系统的不足。多代理协作系统将用于影视编辑协同系统的制作中。电影的许多场景和片段都是利用计算机技术特效制作的,给观众带来了非常独特的体验和视听盛宴。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1a6/9270155/b58bc3ebbb0c/CIN2022-1327620.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1a6/9270155/b58bc3ebbb0c/CIN2022-1327620.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1a6/9270155/b58bc3ebbb0c/CIN2022-1327620.001.jpg

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