20240015259. AUTOMATIC CINEMATOGRAPHY SYSTEM USING REINFORCEMENT LEARNING simplified abstract (TCL RESEARCH AMERICA INC.)

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AUTOMATIC CINEMATOGRAPHY SYSTEM USING REINFORCEMENT LEARNING

Organization Name

TCL RESEARCH AMERICA INC.

Inventor(s)

Zixiao Yu of San Jose CA (US)

Haohong Wang of San Jose CA (US)

AUTOMATIC CINEMATOGRAPHY SYSTEM USING REINFORCEMENT LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240015259 titled 'AUTOMATIC CINEMATOGRAPHY SYSTEM USING REINFORCEMENT LEARNING

Simplified Explanation

The patent application describes a method for generating a movie from a script using a computing device. Here are the key points:

  • Obtaining a movie script
  • Generating a list of actions based on the script
  • Generating stage performance based on each action in the list
  • Extracting observation information from the stage performance
  • Using a camera agent trained with reinforcement learning to select a camera based on the observation information
  • The selected camera includes camera settings that define its position with respect to a character
  • Using the selected camera to capture a video of the stage performance
  • Outputting the video

Potential applications of this technology:

  • Film production: This method can be used to automate the process of generating movies from scripts, making film production more efficient.
  • Virtual reality: The generated videos can be used in virtual reality experiences, providing immersive storytelling.
  • Training simulations: The method can be used to create realistic training simulations, allowing users to practice in a virtual environment.

Problems solved by this technology:

  • Time-consuming process: Automating the movie generation process reduces the time and effort required to produce a film.
  • Camera selection: The use of a camera agent trained with reinforcement learning helps in selecting the most suitable camera angles for capturing the stage performance.

Benefits of this technology:

  • Efficiency: The method streamlines the movie generation process, saving time and resources.
  • Enhanced storytelling: By capturing the stage performance from different camera angles, the method can enhance the storytelling aspect of the movie.
  • Realism: The use of stage performance and observation information ensures that the generated movie closely resembles the original script.


Original Abstract Submitted

a script-to-movie generation method for a computing device includes: obtaining a movie script; generating a list of actions according to the movie script; generating stage performance based on each action in the list of actions; extracting observation information from the stage performance; using a camera agent trained with a reinforcement learning algorithm to select a camera based on the observation information, where the camera includes camera setting that defines a position of the camera with respect to a character for which the camera shoots; using the selected camera to capture a video of the stage performance; and outputting the video.