Multi-Agent-Based Film Editing Collaboration System.

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  • Author(s): Liang A;Liang A
  • Source:
    Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Jul 01; Vol. 2022, pp. 1327620. Date of Electronic Publication: 2022 Jul 01 (Print Publication: 2022).
  • Publication Type:
    Journal Article; Retracted Publication
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN: 1687-5273 (Electronic) NLM ISO Abbreviation: Comput Intell Neurosci Subsets: MEDLINE
    • Publication Information:
      Original Publication: New York, NY : Hindawi Pub. Corp.
    • Subject Terms:
      Motion Pictures* ; Television*; Bayes Theorem ; Learning
    • 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.
      Competing Interests: The author declares that there are no conflicts of interest.
      (Copyright © 2022 Along Liang.)
    • Comments:
      Retraction in: Comput Intell Neurosci. 2023 Jul 19;2023:9756513. (PMID: 37502066)
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    • Publication Date:
      Date Created: 20220711 Date Completed: 20220712 Latest Revision: 20230728
    • Publication Date:
      20240105
    • Accession Number:
      PMC9270155
    • Accession Number:
      10.1155/2022/1327620
    • Accession Number:
      35814531