Method, device, and non-transitory computer-readable medium for setting parameters values of a video source device

A non-transitory computer-readable medium comprising computer readable instructions which, when run on a computer, causes the computer to carry out a method for setting parameters values of a video source device, the method comprising:

• obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values;
• determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task;
• obtaining a set of candidates, a candidate being defined as a set of parameters values, each candidate being different from the other candidates of the set by a different value of at least one parameter;
• for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values;
• selecting a candidate based on its predicted evolution of the satisfaction level;
• and
• setting the parameters values of the video source device using the set of parameters values of the selected candidate,
• wherein there are a plurality of image characteristics, the satisfaction level is determined for each image characteristic of the plurality, and a score is determined that represents a combination of the evolution of each of the satisfaction levels for the plurality of image characteristics,
• wherein a first evolution of the satisfaction level for a given image characteristic is negative,
• wherein a second evolution of the satisfaction level for the given image characteristic is positive.

A device comprising a processing unit configured for carrying out each of the steps of a method for setting parameters values of a video source device, the method comprising:

• obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values;
• determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task;
• obtaining a set of candidates, a candidate being defined as a set of parameters values, each candidate being different from the other candidates of the set by a different value of at least one parameter;
• for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values;
• selecting a candidate based on its predicted evolution of the satisfaction level;
• and
• setting the parameters values of the video source device using the set of parameters values of the selected candidate,
• wherein there are a plurality of image characteristics, the satisfaction level is determined for each image characteristic of the plurality, and a score is determined that represents a combination of the evolution of each of the satisfaction levels for the plurality of image characteristics,
• wherein a first evolution of the satisfaction level for a given image characteristic is negative,
• wherein a second evolution of the satisfaction level for the given image characteristic is positive.