Abstract: An apparatus includes a first acquisition unit configured to acquire main object information specifying a main object in generation of a layout image, a second acquisition unit configured to acquire object correlation information specifying an object having a correlation with the main object, an extraction unit configured to extract at least one image including the main object and at least one image including the object having the correlation with the main object from a plurality of images based on the acquired main object information and the acquired object correlation information acquired, and a generation unit configured to generate, using a layout template, a layout image in which the at least one image extracted by the extraction unit and including the main object and the at least one image extracted by the extraction unit and including the object having the correlation with the main object are laid out therein.

Abstract: An apparatus includes a first acquisition unit configured to acquire main object information specifying a main object in generation of a layout image, a second acquisition unit configured to acquire object correlation information specifying an object having a correlation with the main object, an extraction unit configured to extract at least one image including the main object and at least one image including the object having the correlation with the main object from a plurality of images based on the acquired main object information and the acquired object correlation information acquired, and a generation unit configured to generate, using a layout template, a layout image in which the at least one image extracted by the extraction unit and including the main object and the at least one image extracted by the extraction unit and including the object having the correlation with the main object are laid out therein.

Abstract: An apparatus includes an acquisition unit configured to acquire at least one image group including at least one image; a creating unit configured to create a layout candidate by laying out images included in an image group that has been acquired by the acquisition unit; an evaluating unit configured to evaluate the layout candidate created by the creating unit, based on individual evaluation of each of the images in accordance with a feature of a subject in the images that have been laid out in layouts; and an output unit configured to output the layout candidate created by the creating unit, at a predetermined output size. The feature of the subject in the images includes a size of the subject in the image identified by an output size of the layout candidate output by the output unit.

Abstract: An apparatus including an acquisition unit configured to acquire at least one image group including at least one image; a creating unit configured to create a plurality of layout candidates, by selecting at least one image from an image group acquired by the acquisition unit, and arranging the at least one selected image; an evaluation unit configured to evaluate the layout candidates created by the creating unit; a deciding unit configured to decide a presentation order of a plurality of selected layout candidates, based on evaluation results from the evaluation unit; and a presenting unit configured to present layout candidates in the presentation order decided by the deciding unit; wherein the deciding unit decides the presentation order so that the presentation order is different from an order of evaluation values from the evaluation unit, based on the evaluation results of the evaluation unit.

Abstract: An image group including at least one image is acquired, a layout candidate is created, by laying out images included in an acquired image group, and the created layout candidate is evaluated. Evaluation of the layout candidate is performed based on evaluation of each image laid out within a layout, and a scaling factor based on image size of the image placed in the layout, and a size of the image.

Abstract: An image processing apparatus executes color conversion so that when printing is performed based on image data compressed and decompressed with a lossy compression method, the image data reproduces expected colors of the image data before compression. More specifically, a range of a signal value of a black image affected by compression of image data, such as black character to be printed with black ink, is obtained, and a color separation table is generated such that color ink is not used but black ink is used within this range. This allows the image data to reproduce expected colors of the image data before compression when printing is performed based on the image data compressed and decompressed with a lossy compression method.

Abstract: A color gamut of image data is appropriately subjected to a smoothing processing to print an image of favorable color reproduction and gradation reproduction. Specifically, when an average lightness is equal to or lower than a blacking lightness, the object pixel is not subjected to the smoothing processing. This can conserve the signal value of the object pixel to prevent a pixel originally having a signal value higher than the blacking lightness from being converted by the gamut compression to a black point. In this manner, a pixel for which the object pixel has the average lightness equal to or lower than the blacking lightness is blacked and a pixel having a signal value higher than the blacking lightness is not compressed to the black point. The resultant image has no deteriorated gradation characteristic when being macroscopically observed.

Abstract: An image processing method in which the image of a document is extracted from an image including the image of the document on a document positioning table, acquired by a line sensor scanning the document placed on the document positioning table while illuminating the document from the upstream side or the downstream side of the scanning includes extracting the edge of the image on the document positioning table to set a provisional document area based on the edge, detecting a bright area where light incident on the line sensor is excessive, at the illuminated edge on the upstream side or the downstream side in the scanning direction from the image of the provisional area, and determining the area of the document by removing the area where light is excessive from the provisional area.

Abstract: A frequency distribution of luminances is acquired from an image data acquired by optically reading a document. A frequency distribution of luminances of a background of the document is generated using the maximum frequency of the acquired frequency distribution as the maximum frequency of the frequency distribution of the luminances of the background of the document. A difference between the generated frequency distribution of the luminances of the background of the document and the acquired frequency distribution of the luminances is acquired, and the frequency distribution of the luminances of the background of the document is corrected based on the acquired difference.

Abstract: An apparatus includes an acquisition unit configured to acquire an image group including a plurality of images, a specifying unit configured to specify feature information of each of the images, a generation unit configured to generate a plurality of layout candidates by arranging images selected from the acquired image group, an evaluation unit configured to evaluate each of the layout candidates generated by the generation unit based on a plurality of evaluation standards including an image evaluation based on the feature information of each image arranged in the layout candidate and an overall evaluation of the layout candidate, and a determination unit configured to select and determine a layout to be output from the plurality of layout candidates based on a result of evaluation by the evaluation unit.

Abstract: An image processing apparatus comprises, a management unit configured to classify a face feature information of a face region of an object extracted from image data into a predetermined category in accordance with similarity, and manage the face feature information in a dictionary, a condition setting unit configured to set category determination conditions for classifying the face feature information into the category in accordance with individual information representing at least one of an age and sex of the object and a determination unit configured to determine, based on the category determination conditions set by the condition setting unit, a category to which the face feature information belongs in the dictionary.

Abstract: This invention provides a technique which can enhance personal recognition precision in personal recognition processing of a face in an image. To this end, a management unit classifies feature patterns each including feature information of a plurality of parts of a face region of an object extracted from image data, and manages the feature patterns using a dictionary. A segmenting unit determines whether or not feature information of each part of the face region of the object is segmented, and segments the feature information of the part of interest into a plurality of feature information as new feature information. A registration unit registers a feature pattern as a combination of the new feature information of the part of interest and feature information of parts other than the part of interest in the dictionary as a new feature pattern of the object.

Abstract: An apparatus comprises a determination unit configured to determine, based on a region that satisfies a predetermined condition in an image as a candidate of an output target, whether to set the region as the output target; and a decision unit configured to, in a case where a plurality of regions that satisfy the predetermined condition exists in the image, decide a portion of the image including one or a plurality of regions determined, out of the plurality of regions, as the output target by said determination unit as a portion of the output target.

Abstract: Images of a layout target for a template are acquired. The plurality of acquired images are edited using editing processing corresponding to a category corresponding to a layout. The edited images are arranged on the template corresponding to the category.

Abstract: An apparatus includes a first management unit configured to classify and manage feature information of a plurality of objects extracted from image data in units of similar feature information, a second management unit configured to classify and manage the plurality of objects extracted from the image data object by object, an association unit configured to associate the objects in the first management unit with feature information in the second management unit, and an input unit configured to input a correction instruction about classifications of the objects by the second management unit. The second management unit is configured to, if the correction instruction is input, correct and manage a classification to which a target object of the correction instruction belongs and the first management unit is configured to change and manage a classification to which feature information associated with the target object of the correction instruction belongs.

Abstract: An apparatus includes a detection unit configured to detect an object from image data, and a processing unit configured to perform processing for the object detected by the detection unit. The detection unit includes a first detection unit and a second detection unit having a detection tolerance wider than that of the first detection unit, and the object is detected by selecting the first detection unit or the second detection unit in accordance with the contents of the processing to be performed by the processing unit.

Abstract: This invention provides a technique for generating a layout which matches preferences of a larger number of persons by selecting images with higher preference evaluations based on not only preference degrees which are explicitly set by the user, and access counts in accordance with browse designations. To this end, an importance degree (preference evaluation value) for a given image is obtained using both a value indicating a preference degree which is explicitly set by the user for that image and an interest degree (automatic preference degree) determined by a browse count. In this case, the preference degree explicitly set by the user is multiplied by a larger weight than the interest degree. Then, images to be laid out on a template are determined according to the importance degrees.

Abstract: An apparatus comprises: a specifying unit configured to specify, based on an image as a candidate of an output target, at least one object region satisfying a predetermined condition from the image; a determination unit configured to determine whether the object region specified in the image by the specifying unit is divided in the image; and a decision unit configured to decide the output target region in the image based on a determination result by the determination unit.

Abstract: An apparatus includes a first management unit configured to classify and manage feature information of a plurality of objects extracted from image data in units of similar feature information, a second management unit configured to classify and manage the plurality of objects extracted from the image data object by object, an association unit configured to associate classifications of the objects by the second management unit with classifications of the feature information by the first management unit, and an input unit configured to input a correction instruction about the classifications of the objects by the second management unit, wherein the association unit is configured to, if the correction instruction is input, update an association between the classifications of the objects and the classifications of the feature information and the second management unit is configured to correct and manage the classifications of the objects based on updating of the association.

Abstract: There is disclosed an image processing apparatus which applies an adjusting process to an image that includes a pixel to be processed. The image processing apparatus extracts an image area with a predetermined size including the pixel to be processed. The apparatus calculates a variation associated with the pixel to be processed from signal values of pixels included in the image area. The apparatus calculates a variation time count in the image area from the signal values of the pixels included in the image area. The apparatus calculates adjusting levels Fz1, Fz2, and Fe from the variation time count and the variation using a definition unit which defines correspondence among the variation time count, the variation, and the adjusting levels, and applies an adjusting process to a signal value of the pixel to be processed by the calculated adjusting levels.