AI-based aesthetical image modification

A method of operating a system for modifying an image, comprising:

• receiving a source image having a first image configuration;
• determining a second image configuration for a target image;
• providing, to an artificial intelligence (AI) engine, the received source image, the AI engine trained to perform functions of:
• identifying, based on a set of rules related to visual features, a plurality of candidate regions from the source image, each candidate region showing a different portion of the source image;
• generating a plurality of regional proposal images based on the plurality of identified candidate regions, respectively, wherein each proposal region image has the second image configuration;
• determining, based on prior aesthetical evaluation data, an aesthetical value of each regional proposal image;
• and
• selecting, based on the determined aesthetical value of each regional proposal image, a first regional proposal image as the target image, the first region proposal image being one of the plurality of regional proposal images;
• extracting, from the AI engine, the first regional proposal image selected as the target image;
• and
• causing the first regional proposal image to be displayed via a display of a user device.

A non-transitory computer-readable medium comprising instructions that, when executed by a processor, cause the processor to control a system to perform:

• receiving a source image having a first image configuration;
• determining a second image configuration for a target image;
• providing, to an artificial intelligence (AI) engine, the received source image, the AI engine trained to perform functions of:
• identifying, based on a set of rules related to visual features, a plurality of candidate regions from the source image, each candidate region showing a different portion of the source image;
• generating a plurality of regional proposal images based on the plurality of identified candidate regions, respectively, wherein each proposal region image has the second image configuration;
• determining, based on prior aesthetical evaluation data, an aesthetical value of each regional proposal image;
• and
• selecting, based on the determined aesthetical value of each regional proposal image, a first regional proposal image as the target image, the first region proposal image being one of the plurality of regional proposal images;
• extracting, from the AI engine, the first regional proposal image selected as the target image;
• and
• causing the first regional proposal image to be displayed via a display of a user device.