Techniques for determining settings for a content capture device
摘要
說明書
In some examples, the method may further include identifying a direction that a user is looking, determining a location on the image that corresponds to the direction the user is looking, and determining a distance that the object is located from the location. In some examples, the weights for each of the pixel groups in the first set of pixel groups may be based upon the additional information. The weights for each of the pixel groups in the first set of pixel groups can be based upon second additional information that is different than the second additional information.
For another example, a method may include receiving an image captured by a content capture device. In some examples, the image may include a plurality of pixels. The method may further include identifying a target luma value for the image. In some examples, the target luma value may be based upon a field of view. The method may further include identifying an object in the image, identifying one or more attributes of the object, and calculating a weight for the object using a neural network. In some examples, the neural network may use the one or more attributes as input. In such examples, an attribute of the one or more attributes of the object may include an object priority, an object distance, or an object size. In some examples, the neural network may be a multilayer perceptron. The method may further include dividing the plurality of pixels of the image into a plurality of pixel groups. In some examples, each pixel group of the plurality of pixel groups may be the same size.
