Image driver that samples high-resolution image data

A non-transitory computer-readable medium storing instructions to cause a processor to:

• generate, for each of a plurality of features of a first image in a sequence of images, a feature vector associated with a region of the first image and indicative of a degree to which that feature is present in the region of the first image;
• generate a first sample vector based on the feature vectors, the first sample vector including values from each of the feature vectors;
• and
• evaluate the first sample vector relative to at least a second sample vector associated with at least one further image in the sequence of images.

A computer-implemented method, comprising:

• receiving a sequence of images, each image from the sequence of images including a plurality of features and each feature from the plurality of features being descriptive of at least one region of that image;
• generating a sample vector based on a set of feature vectors associated with the plurality of features of a first image from the sequence of images, the sample vector including values from each feature vector from the set of feature vectors;
• and
• evaluating the sample vector relative to at least one further sample vector associated with at least one further image in the sequence of images.