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

=AUTOMATIC CINEMATOGRAPHY SYSTEM USING REINFORCEMENT LEARNING=


==Organization Name==

[[:Category:TCL RESEARCH AMERICA INC.|TCL RESEARCH AMERICA INC.]]


[[Category:TCL RESEARCH AMERICA INC.]]

==Inventor(s)==

[[:Category:Zixiao Yu of San Jose CA (US)|Zixiao Yu of San Jose CA (US)]][[Category:Zixiao Yu of San Jose CA (US)]]

[[:Category:Haohong Wang of San Jose CA (US)|Haohong Wang of San Jose CA (US)]][[Category: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.



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