Abstract: A system and method are disclosed for image selection based on photographic style in which photographic style annotations are learned using a data-driven approach. The method includes assigning a style value for each of a set of photographic style categories to each of a set of database images with a trained classifier of a computing device. A user's selection of a subset of the photographic style categories, such as three style categories, is received. A user interface is generated for assigning values to each of the selected photographic style categories. A set of database images is identified, based on the assigned values for each of the selected photographic style categories and the style values for each of the selected photographic style categories of the database images.

Abstract: A system and method are disclosed for image selection based on photographic style in which photographic style annotations are learned using a data-driven approach. The method includes assigning a style value for each of a set of photographic style categories to each of a set of database images with a trained classifier of a computing device. A user's selection of a subset of the photographic style categories, such as three style categories, is received. A user interface is generated for assigning values to each of the selected photographic style categories. A set of database images is identified, based on the assigned values for each of the selected photographic style categories and the style values for each of the selected photographic style categories of the database images.

Abstract: A method for color transfer includes retrieving a concept color palette from computer memory corresponding to a concept selected by a user. The concept color palette includes a first set of colors, which may be statistically representative of colors of a set of predefined color palettes which have been associated with the concept. The method further includes computing an image color palette for an input image. The image color palette includes a second set of colors that are representative of pixels of the input image. Colors of the image color palette are mapped to colors of the concept color palette to identify, for colors of the image color palette, a corresponding color in the concept color palette. A transformation is computed based on the mapping. For pixels of the input image, modified color values are computed, based on the computed transformation, to generate a modified image.

Abstract: A system and method are provided for modeling a chromatic object, such as an image. For a set of colors of a chromatic object that are expressed as color values in a perceptual color space, the method includes optimizing a convex objective function which is a log likelihood function of a combination of weighted kernels centered on each color in the set over each of the other colors in the set. A number Nc of weighted kernels in the optimized function which each have a weight which is at least greater than 0 is identified. The chromatic object is modeled with a mixture model in which the complexity of the model is based on the identified number Nc.

Abstract: A system and method are provided for modeling a chromatic object, such as an image. For a set of colors of a chromatic object that are expressed as color values in a perceptual color space, the method includes optimizing a convex objective function which is a log likelihood function of a combination of weighted kernels centered on each color in the set over each of the other colors in the set. A number Nc of weighted kernels in the optimized function which each have a weight which is at least greater than 0 is identified. The chromatic object is modeled with a mixture model in which the complexity of the model is based on the identified number Nc.

Abstract: A system and method for color transfer are provided. The method includes retrieving a concept color palette from computer memory corresponding to a concept selected by a user. The concept color palette includes a first set of colors, which may be statistically representative of colors of a set of predefined color palettes which have been associated with the concept. The method further includes computing an image color palette for an input image. The image color palette includes a second set of colors that are representative of pixels of the input image. Colors of the image color palette are mapped to colors of the concept color palette to identify, for colors of the image color palette, a corresponding color in the concept color palette. A transformation is computed based on the mapping. For pixels of the input image, modified color values are computed, based on the computed transformation, to generate a modified image.