Apparatus and method for setting degrees of importance, apparatus and method for representative image selection, apparatus and method for printing-recommended image selection, and programs therefor
View Patent ↗A plurality of images are classified into hierarchical categories. A degree of importance for each of the categories is set according to at least one of: the number of images therein, the number of images in an upper-level category, the number of categories related to the category, the number of hierarchical levels below the category, and the number of hierarchical levels from the uppermost level to the level of the category.
1. A printing-recommended image selection apparatus for selecting a printing-recommended image whose printing is recommended from a plurality of images, the apparatus comprising applying a processor to perform:
classification means for carrying out classification of the images into categories; analysis means for carrying out analysis of the images; suitability calculation means for carrying out calculation of printing suitability, based on a result of the classification by the classification means and a result of the analysis by the analysis means;
selection means for carrying out selection of the printing-recommended image from the images, according to the printing suitability, and
importance degree setting means for calculating a degree of importance for each of the categories through weighted addition of a number of images in the category, a number of categories related to the category, and a number of hierarchical levels below the category according to:
weight= a 1×(the number of images in the category)+ b 1×(the number of categories related to the category)+ c 1×(the number of levels below the category), where a 1, b 1, and c 1 are weighting coefficients.
2. The printing-recommended image selection apparatus according to claim 1 further comprising parameter calculation means for calculating a parameter representing preference of a user, wherein the selection means selects the printing-recommended image based on the parameter and the printing suitability.
3. The printing-recommended image selection apparatus according to claim 1 , further comprising:
detection means for detecting input of the images; and
control means for controlling the classification means, the analysis means, the suitability calculation means, and the selection means to respectively carry out the classification, the analysis, the calculation of the printing suitability, and the selection when the detection means detects the input of the images.
4. A digital camera comprising the printing-recommended image selection apparatus of claim 1 .
5. A printer comprising the printing-recommended image selection apparatus of claim 1 .
6. A print order apparatus comprising the printing-recommended image selection apparatus of claim 1 .
7. A printing-recommended image selection method for selecting a printing-recommended image whose printing is recommended from a plurality of images, the method comprising applying a processor to perform:
carrying out classification of the images into categories;
carrying out analysis of the images;
carrying out calculation of printing suitability, based on a result of the classification and a result of the analysis;
carrying out selection of the printing-recommended image from the images, according to the printing suitability; and
calculating a degree of importance for each of the categories through weighted addition of a number of images in the category, a number of categories related to the category, and a number of hierarchical levels below the category according to:
weight= a 1×(the number of images in the category) +b 1×(the number of categories related to the category) +c 1×(the number of levels below the category),
where a1, b1, and c1 are weighting coefficients.
8. A non-transitory computer-readable storage medium encoded with a computer program for causing a computer to execute a printing-recommended image selection method for selecting a printing-recommended image whose printing is recommended from a plurality of images, the program comprising:
carrying out classification of the images into categories;
carrying out analysis of the images;
carrying out calculation of printing suitability, based on a result of the classification and a result of the analysis;
carrying out selection of the printing-recommended image from the images, according to the printing suitability; and
calculating a degree of importance for each of the categories through weighted addition of a number of images in the category, a number of categories related to the category, and a number of hierarchical levels below the category according to: weight=a1×(the number of images in the category)+b1×(the number of categories related to the category)+c1×(the number of levels below the category), where a1, b1, and c1 are weighting coefficients.