Abstract: A method, non-transitory computer readable medium, and apparatus for providing a healthier food purchase suggestion to a shopper are disclosed. For example, the method receives a selection of a food item that the shopper has selected to purchase, determines one or more healthier food items that have a higher score than a score of the food item that the shopper has selected, selects one of the one or more healthier food items based upon a profile of the shopper, provides the one of the one or more healthier food items that is selected as the healthier food purchase suggestion to the shopper.

Abstract: A method of determining a layout of a structural document may include receiving a plurality of images, determining a design associated with a structural document, determining a number of facets associated with the structural document based on the determined design, determining an image area associated with the structural document, and determining a layout associated with the structural document based on the determined image area. The method may include determining an image aspect ratio associated with each of the plurality of received images, determining an area aspect ratio associated with each of the one or more areas, assigning each received image to one of the one or more areas based on the determined aspect ratio associated with the image and the determined area aspect ratio associated with the area, and causing a graphical representation of the structural document to be displayed.

Abstract: A method, non-transitory computer readable medium, and apparatus for providing a healthier food purchase suggestion to a shopper are disclosed. For example, the method receives a selection of a food item that the shopper has selected to purchase, determines one or more healthier food items that have a higher score than a score of the food item that the shopper has selected, selects one of the one or more healthier food items based upon a profile of the shopper, provides the one of the one or more healthier food items that is selected as the healthier food purchase suggestion to the shopper.

Abstract: Embodiments described herein include a component specific natural language color unit for modifying colors of image components in an image using component specific natural language commands. The CSNLC unit can receive a component specific natural language color command for a color modification of an input image. The component specific natural language color command can include a component identifier and a color modifier. The natural language command can be parsed to attribute the component identifier to an image component in the input image and to attribute the color modifier to a predefined color space associated with the image component. The color modifier can indicate the color modification to be performed. The color modification can be applied to the image component to adjust the color of the image component.

Abstract: A method of determining a layout of a structural document may include receiving a plurality of images, determining a design associated with a structural document, determining a number of facets associated with the structural document based on the determined design, determining an image area associated with the structural document, and determining a layout associated with the structural document based on the determined image area. The method may include determining an image aspect ratio associated with each of the plurality of received images, determining an area aspect ratio associated with each of the one or more areas, assigning each received image to one of the one or more areas based on the determined aspect ratio associated with the image and the determined area aspect ratio associated with the area, and causing a graphical representation of the structural document to be displayed.

Abstract: Embodiments described herein include a component specific natural language color unit for modifying colors of image components in an image using component specific natural language commands. The CSNLC unit can receive a component specific natural language color command for a color modification of an input image. The component specific natural language color command can include a component identifier and a color modifier. The natural language command can be parsed to attribute the component identifier to an image component in the input image and to attribute the color modifier to a predefined color space associated with the image component. The color modifier can indicate the color modification to be performed. The color modification can be applied to the image component to adjust the color of the image component.