Abstract: A category classification apparatus includes: a first classifier that classifies whether an image belongs to a certain category, based on a probability information indicating a probability that the image belongs to the certain category; and a second classifier that classifies whether the image belongs to the certain category, and that does not perform classification of the image, when the probability indicated by the probability information is within a probability range, specified by a probability threshold, for which it can be decided that the image does not belong to the certain category.

Abstract: An information processing method includes: obtaining, from image data, data indicating a characteristic of an image indicated by the image data; obtaining, from supplemental data appended to the image data, data other than data relating to a scene; and identifying a scene of the image with data indicating the characteristic of the image and the data other than data relating to the scene as characteristic amounts.

Abstract: A category classification apparatus includes: a partial characteristic amount obtaining section that obtains a plurality of partial characteristic amounts indicating characteristics of portions that are respectively represented by each of a plurality of partial image data, based on each of the plurality of partial image data obtained by dividing image data representing an image; an overall characteristic amount obtaining section that obtains an overall characteristic amount indicating an overall characteristic of the image, based on the plurality of partial characteristic amounts; and a category classifier that classifies a category to which the image belongs, based on at least one of the partial characteristic amounts and the overall characteristic amount.

Abstract: Provided is an imaging device including a photographing instruction input unit which inputs a photographing instruction, a mode setting unit which sets a plurality of photographing modes including substantially the same amount of exposure and different aperture and a photographing unit which performs continuously a photographing process using the plurality of photographing modes in accordance with the photographing instruction.

Abstract: An image processing apparatus includes a storage unit that stores a plurality of reference feature data items corresponding to a plurality of objects, the reference feature data items respectively representing predetermined features of the objects, a feature data generating unit that, for each of images, generates a feature data item representing each predetermined feature as a predetermined feature of a subject represented in the image, a subject identifying unit that, for each feature data item, identifies to which of the objects the subject corresponds by using the feature data item and the reference feature data items, and a calculation unit that, for each object, depending on a result of identifying by the subject identifying unit, calculates the number of object images in which the object is represented as the subject.

Abstract: Provided is a photographing parameter setting system including: a photographing device which photographs an image; and a photographing information providing device which provides photographing information for specifying predetermined photographing parameter values to the photographing device, wherein the photographing information providing device includes: a photographing information storage unit which stores photographing information corresponding to a photographing opportunity defined by a temporal range and a geographic range; and a photographing information transmission unit which transmits the photographing information stored in the photographing information storage unit, and wherein the photographing device includes: a photographing information reception unit which receives the photographing information transmitted from the photographing information transmission unit; and a photographing parameter setting unit which sets the predetermined photographing parameter values used for photographing at the phot

Abstract: In order to optimize a color conversion table in accordance with environment of a user since a conventional color conversion table used in a printer driver is not optimized in accordance with the environment of the user, when an installer operation is executed by a computer 21 constituting an image processing device 20, a color conversion table 21b2b is formed from a pre conversion color conversion table 21b2c at step S130 and according to a processing of increasing lattice points in this case, the lattice points are increased by nonlinear interpolation calculation using Lagrange interpolation equation at step S430 or the lattice points are increased by linear interpolation, and in that case the number of the lattice points may be fixed or may be a number in accordance with environment or input image by which the color conversion table 21b2b having a pertinent size can be formed from the pre conversion color conversion table 21b2c having a small size.