US 2019/0295240 A1 · IMAGE QUALITY SCORER MACHINE

Abstract

An image quality scorer machine accesses a candidate image to be analyzed for visual quality. The image quality scorer machine generates a visual quality score of the candidate image by first generating a prediction of a similarity score for the candidate image. The predicted similarly score of the candidate image may be generated by a process including inputting the candidate image into a neural network that has been trained to detect a set of image features in the candidate image and then to generate a corresponding predicted similarity score based on degrees to which the image features in the set are present in the candidate image. The image quality scorer machine derives the visual quality score based on the predicted similarity score outputted by the neural network. Accordingly, the image quality score machine may provide or store the generated visual quality score of candidate image for subsequent usage.

Claims20

Dependent claims

A method comprising:

receiving, via one or more computer networks, a candidate image to be analyzed for visual quality;
generating, by one or more processors, a visual quality score of the candidate image, the generating of the visual quality score including:
inputting the candidate image into a neural network trained to detect a set of image features in the candidate image and generate a corresponding predicted similarity score of the candidate image based on degrees to which image features in the set are present in the candidate image, the neural network being trained based on reference images and corresponding reference similarity scores that each quantifies similarity of a corresponding reference image to a corresponding verification image, the neural network outputting the predicted similarity score of the candidate image;
and
deriving the visual quality score of the candidate image based on the outputted predicted similarity score of the candidate image;
and
providing, by the one or more processors, the generated visual quality score of the candidate image.

4 more elements

A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

receiving a candidate image to be analyzed for visual quality;
generating a visual quality score of the candidate image, the generating of the visual quality score including:
inputting the candidate image into a neural network trained to detect a set of image features in the candidate image and generate a corresponding predicted similarity score of the candidate image based on degrees to which image features in the set are present in the candidate image, the neural network being trained based on reference images and corresponding reference similarity scores that each quantifies similarity of a corresponding reference image to a corresponding verification image, the neural network outputting the predicted similarity score of the candidate image;
and
deriving the visual quality score of the candidate image based on the outputted predicted similarity score of the candidate image;
and
providing the generated visual quality score of the candidate image.

4 more elements

A system comprising:

one or more processors;
and
a memory storing instructions that, when executed by at least one processor among the one or more processors, cause the system to perform operations comprising:
receiving a candidate image to be analyzed for visual quality;
generating a visual quality score of the candidate image, the generating of the visual quality score including:
inputting the candidate image into a neural network trained to detect a set of image features in the candidate image and generate a corresponding predicted similarity score of the candidate image based on degrees to which image features in the set are present in the candidate image, the neural network being trained based on reference images and corresponding reference similarity scores that each quantifies similarity of a corresponding reference image to a corresponding verification image, the neural network outputting the predicted similarity score of the candidate image;
and
deriving the visual quality score of the candidate image based on the outputted predicted similarity score of the candidate image;
and
providing the generated visual quality score of the candidate image.

7 more elements

Dependencies are inferred from the claim text.

Image quality scorer machine

Life of this patent

Image quality scorer machine

Life of this patent

Abstract

Claims20