Abstract: A multi-class identifier identifies a kind of an imager, and identifies in detail with respect to a specified kind of a group. The multi-class identifier includes: an identification fault counter providing the image for test that includes any of class labels to the kind identifiers so that the kind identifiers individually identify the kind of the provided image, and counting, for a combination of arbitrary number of kinds among the plurality of kinds, the number of times of incorrect determination in the arbitrary number of kinds that belongs to the combination; a grouping processor, for a group of the combination for which count result is equal to or greater than a predetermined threshold, adding a group label corresponding to the group to the image for learning that includes the class label corresponding to any of the arbitrary number of kinds that belongs to the group.

Abstract: A multi-class discriminating device for judging to which class a feature represented by data falls. The device has a first unit for generating plural first hierarchical discriminating devices for discriminating one from N, and a second unit for combining score values output respectively from the plural first hierarchical discriminating devices to generate a second hierarchical feature vector and for entering the second hierarchical feature vector to generate plural second hierarchical discriminating devices for discriminating one from N. When data is entered, the plural first hierarchical discriminating devices output score values, and these score values are combined together to generate the second hierarchical feature vector. When the second hierarchical feature vector is entered, the second hierarchical discriminating device which outputs the maximum score value is selected.

Abstract: In the present invention, a database has feature information stored in association with flower sample images flower names, leaf sample images, and images indicating attention points for narrowing down the flower names. An extracting section extracts flower sample images having a high similarity to the image of the imaged flower as candidate images by comparing feature information of the image of the imaged flower and feature information stored in the database. A control section causes the image of the imaged flower, the extracted candidate images, flower names corresponding to the candidate images, and attention points for narrowing down the candidate images to be arranged and displayed on a display section, and changes the candidate images to their respective leaf sample images for display. The control section also changes the candidate images to images indicating their respective attention points and causes them to be displayed on the display section.

Abstract: A display device includes: a display unit configured to display an image; a display control unit configured to switch among a plurality of kinds of content to be displayed on the display unit; and a content evaluation unit configured to evaluate an affirmation level of content displayed on the display unit, wherein the display control unit determines content to be displayed on the display unit based on the affirmation level.

Abstract: The image acquisition unit 41 acquires an image including an object. By comparing information related to the shape of a relevant natural object that is included as the object in the target image acquired by the image acquisition unit 41, and information related to respective shapes of a plurality of types prepared in advance, at least one flower type for the natural object in question is selected. The secondary selection unit 43 then selects data of a representative image from among data of a plurality of images of different color, of the same flower type as prepared in advance, for each of at least one flower type selected by the primary selection unit 42, based on information related to color of the relevant natural object included as the object in the image acquired by the image acquisition unit 41.

Abstract: A notification control apparatus is provided with a moving image acquisition unit 41 that acquires a moving image, an identification unit 44 that identifies a frame according to forwarding operation, out of a plurality of frames constituting the moving image, a determination unit 46 that determines whether or not the identified frame is a predetermined frame, and a notification control unit 49 that notifies determination result by the determination unit 46.

Abstract: There is provided an image extracting apparatus including: a CPU 11 that acquires a first moving image; an impact detection processing unit 54 that identifies a predetermined time point in the acquired moving image; an extraction time point identifying unit 55 that calculates reliability of a period of the first moving image; and a moving image storage control unit 56 that extracts a second moving image of a predetermined period according to the predetermined time point and the reliability from the first moving image.

Abstract: An image capture apparatus 1 is equipped with: a CPU 11 that acquires a plurality of images; a normalization unit 54 that performs normalization such that an area of at least one of a plurality of acquired images satisfies a predetermined criterion; and a display control unit 56 that performs control such that a plurality of images including the images normalized by the normalization unit 54 are displayed in an output unit 19.

Abstract: An information processing apparatus of the present application includes a drawing unit that draws a line on an image in a drawing area displayed in a fixed mode, which displays an image by fixing a position of the image; a judgment unit that judges whether a position of the line during drawing by the drawing unit is positioned on a boundary indicating the drawing area; a mode switching unit that switches from the fixed mode to a predetermined mode other than the fixed mode in a case in which the position during drawing is judged as being positioned on the boundary indicating the drawing area by the judgment unit; and a display control unit that executes control to display the image based on the mode switched by the mode switching unit.

Abstract: A multi-class discriminating device for judging to which class a feature represented by data falls. The device has a first unit for generating plural first hierarchical discriminating devices for discriminating one from N, and a second unit for combining score values output respectively from the plural first hierarchical discriminating devices to generate a second hierarchical feature vector and for entering the second hierarchical feature vector to generate plural second hierarchical discriminating devices for discriminating one from N. When data is entered, the plural first hierarchical discriminating devices output score values, and these score values are combined together to generate the second hierarchical feature vector. When the second hierarchical feature vector is entered, the second hierarchical discriminating device which outputs the maximum score value is selected.

Abstract: An imaging device includes a separability calculating portion for calculating a separability of a frame image by filtering the frame image containing a ball image elliptically deformed using an ellipse separability filter having an inside region and an outside region located outside of the inside region, an estimating portion for estimating a set of a center position, major axis, minor axis and inclination angle of the inside region, the set resulting in a maximum separability by changing the center position, major axis, minor axis and inclination angle of the inside region, as a set of a center position, major axis, minor axis and inclination angle of the ball image, and a speed calculating portion for calculating a speed of the ball based on a difference between the center positions of the ball images estimated by the estimating portion, a number of frames between the frame images and a frame rate.

Abstract: In an object searching apparatus for searching through a database of objects, an image pickup unit repeatedly shoots a subject with the optical axis moved to obtain plural pieces of image data. A distance from the image pickup unit to the subject is calculated based on the plural pieces of image data, and a main object of the subject is clipped from the obtained image data. A calculating unit calculates a real size of the main object of the subject based on a size of the clipped main object on the image data, the calculated distance from the image pickup unit to the subject and a focal length of the image pickup unit. A searching unit accesses the database to search for a sort of the main object of the subject, using the calculated real size of the main object.

Abstract: A video with a high satisfaction level of user is generated from multi-aspect images. For each frame of the output video, a provisional video creator creates a provisional video with provisional images reconstructed using default values from LFIs as the frames. Then this is output to an output device. A designation acquirer acquires information designating coordinates of the target object on the provisional video. A list creator acquires the depth value of the target object using a depth map created from the LFI of the current frame, and records this in a designation list after obtaining the reconstruction distance from the depth value. A corrector corrects the designation list. A main video creator creates a main video with reconstructed images focused at a focal length designated by the post-correction designation list as frames, and outputs this to an output device.

Abstract: A multi-class identifier identifies a kind of an imager, and identifies in detail with respect to a specified kind of a group. The multi-class identifier includes: an identification fault counter providing the image for test that includes any of class labels to the kind identifiers so that the kind identifiers individually identify the kind of the provided image, and counting, for a combination of arbitrary number of kinds among the plurality of kinds, the number of times of incorrect determination in the arbitrary number of kinds that belongs to the combination; a grouping processor, for a group of the combination for which count result is equal to or greater than a predetermined threshold, adding a group label corresponding to the group to the image for learning that includes the class label corresponding to any of the arbitrary number of kinds that belongs to the group.

Abstract: In an interpolation image generation apparatus, an input unit acquires photographed images obtained from viewpoints and imaging setting information thereof, the EPI generation unit generates an EPI from the images, an angle estimation unit estimates an angle of a straight line to which each EPI actual pixel corresponds on the EPI, an interpolation image setting unit places an interpolation image on the EPI, a correspondence detection unit detects correspondence between an actual pixel and a pixel of the interpolation image (interpolation pixel), and the correspondence detection unit evaluates likelihood of correspondence relationship between the actual pixel and the interpolation pixel, and a pixel value addition unit adds a pixel value of the interpolation pixel on the basis of the likelihood of the correspondence relationship, thereby generating an interpolation image.

Abstract: An image capture device (1) includes an image acquiring unit (71), image specifying unit (72), image selecting unit (73), and combined image generating unit (74). The image acquiring unit (71) acquires data of a plurality of images indicative of a sequence of actions of an object. The image specifying unit (72) specifies a partial predetermined action in the sequence of the actions of the object from the plurality of images acquired by the image acquiring unit (71). The image selecting unit (73) selects data of a plurality of images corresponding to the predetermined action from among the data of the plurality of images based on a specifying result by the image specifying unit (72). The composite image generating unit (74) generates one composite image from the data of a plurality of images selected by the image selecting unit (73).

Abstract: The image acquisition unit 41 acquires an image including an object. By comparing information related to the shape of a relevant natural object that is included as the object in the target image acquired by the image acquisition unit 41, and information related to respective shapes of a plurality of types prepared in advance, at least one flower type for the natural object in question is selected. The secondary selection unit 43 then selects data of a representative image from among data of a plurality of images of different color, of the same flower type as prepared in advance, for each of at least one flower type selected by the primary selection unit 42, based on information related to color of the relevant natural object included as the object in the image acquired by the image acquisition unit 41.

Abstract: In the present invention, a database has feature information stored in association with flower sample images flower names, leaf sample images, and images indicating attention points for narrowing down the flower names. An extracting section extracts flower sample images having a high similarity to the image of the imaged flower as candidate images by comparing feature information of the image of the imaged flower and feature information stored in the database. A control section causes the image of the imaged flower, the extracted candidate images, flower names corresponding to the candidate images, and attention points for narrowing down the candidate images to be arranged and displayed on a display section, and changes the candidate images to their respective leaf sample images for display. The control section also changes the candidate images to images indicating their respective attention points and causes them to be displayed on the display section.

Abstract: A reconstructed image with less noise is reconstructed from a lens array image. An image reconstructing device acquires the lens array image formed by a lens array comprising an array of multiple sub-lenses for an optical image of an object formed by a main lens. The image reconstructing device comprises an interpolation part interpolating a third sub-image formed by a third sub-lens based on the first sub-image and the second sub-image constituting the acquired lens array image, wherein the third sub-lens is positioned between the first sub-lens forming the first sub-image and the second sub-lens forming the second sub-image. The image reconstructing device comprises a reconstructing part reconstructing an image of the object formed by the main lens focused on a point at a given distance from the interpolated third sub-image, the first sub-image and the second sub-image.

Abstract: In an interpolation image generation apparatus, an input unit acquires photographed images obtained from viewpoints and imaging setting information thereof, the EPI generation unit generates an EPI from the images, an angle estimation unit estimates an angle of a straight line to which each EPI actual pixel corresponds on the EPI, an interpolation image setting unit places an interpolation image on the EPI, a correspondence detection unit detects correspondence between an actual pixel and a pixel of the interpolation image (interpolation pixel), and the correspondence detection unit evaluates likelihood of correspondence relationship between the actual pixel and the interpolation pixel, and a pixel value addition unit adds a pixel value of the interpolation pixel on the basis of the likelihood of the correspondence relationship, thereby generating an interpolation image.