Abstract: An apparatus for identifying a candidate area in a first image corresponding to an object in a second image, includes a memory and a processor to divide the plurality of candidate areas into a plurality of small candidate areas, divide an image area of the object into a plurality of small areas, perform first comparison processing for a first part, when there is a first candidate area lacking image information of the small candidate area corresponding to the first part, perform second comparison processing for a second part, predict missing result on the small candidate area corresponding to the first part in the first candidate area based on a result of the first comparison processing on a candidate area other than the first candidate area, and a result of the second comparison processing on the plurality of candidate areas, and identify the candidate area based on a prediction.

Abstract: A method includes displaying a first image including a living body on a display apparatus, accepting specifying of a first area on the first image, extracting a first feature point group from an area in the first image, the area being located in a distance more than a threshold from the first area, acquiring a second image including the living body, the second image being captured at different timing from the first image, extracting a second feature point group corresponding to the first feature point group, from the second image, generating, by a processor, transformation information based on a positional relationship between the first feature point group and the second feature point group, for carrying out an image registration between the second image and the first image, executing transformation processing by applying the transformation information to the second image, and displaying a third image generated by the transformation processing.

Abstract: An information processing apparatus includes: a storage unit that stores a table including information on regions respectively occupied by a plurality of solids whose vertices are defined by a plurality of reference colors that are set in a color space, each of the solids having an evaluation value less than a setting value, the evaluation value decreasing as the length of edges thereof decreases, the solids being arranged such that faces thereof do not cross each other; and a computing unit that specifies a solid containing an input color with use of the table, and performs interpolation processing of the input color with use of the reference colors corresponding to the vertices of the specified solid.

Abstract: A device includes a processor configured to execute a process including extracting a pixel value of each of a plurality of areas of a same color that are arranged at different positions on a color chart that is captured in an image, and specifying by using the extracted pixel values of the areas and arrangement positions of the areas of the same color an area that has a pixel value that corresponds to a function that expresses fluctuation of pixel values according to a position due to non-uniformity of an illumination environment that fluctuates the pixel values at a constant rate in one direction, and correcting a pixel value of a correction target area between the areas of the same color according to the pixel value of the specified area.

Abstract: An image processing apparatus receives an input specifying a target in a first captured image group that is obtained by slicing a three-dimensional body into captured images at a first point in time, extracts feature points surrounding the specified target from the captured images of the first captured image group, specifies slice positions of each of the feature points that are extracted in captured images of a second captured image group that is obtained by slicing the three-dimensional body into the captured images at a second point in time, and outputs an image corresponding to a slice position range specified based on the specified slice positions of each of the extracted feature points, and corresponding to a range on a first plane specified based on positions of each of the extracted feature points on a second plane.

Abstract: A computer-readable recording medium storing a program for causing a computer to execute a procedure for managing a system that retrieves a image corresponding to a first type specified by a retrieval request received from a terminal device and another image corresponding to a second type associated with the first type, from an image database storing a plurality of images associated with at least a number of a plurality of types, the procedure includes: referring to a learning state representing whether feature values of images corresponding to each of the plurality of the types have been obtained; retrieving an unlearned type in which the feature value has not been obtained, among the plurality of types; specifying an association type associated with the unlearned type; and outputting the unlearned type in accordance with the learning state of the association type.

Abstract: An image processing apparatus is provided including a storage unit for storing relationships of color coordinates between a plurality of reference colors under each of a plurality of different light sources for each light source, with respect to the plurality of reference colors set in a color space and being different from one another; and a calculation unit for detecting color coordinates of the plurality of reference colors from an object image to be processed, and identifying a light source used in capturing of the object image according to a similarity between relationships of the detected color coordinates and the relationships of color coordinates stored in the storage unit for each light source.

Abstract: A reference color selection device includes a determination unit that compares a first and second magnitudes of a first second candidate colors with respect plural wavelengths and determines whether or not there is any wavelength that provides a reverse magnitude relationship between the first and second magnitudes reverse to a magnitude relationship at other wavelengths, the first and second candidate colors being included in a color group of reference colors used in color correction of a target color; and a selection unit that selects the color group as the reference colors when there is not a combination of the first and second candidate colors about which the determination unit determines that there is the wavelength that provides the reverse magnitude relationship in the color group to be the candidates of the reference colors.

Abstract: A computer-readable recording medium storing a program for causing a computer to execute an image accumulating procedure, the procedure includes: specifying a second image similar to a first image that is associated with text information; displaying the second image in an identifiable manner, and the text information on a display device; and storing the text information associated with image information that is related to the second image, based on instruction information that instructs a use of the text information with respect to the second image.

Abstract: An image processing apparatus includes: a storage configured to store, for a plurality of areas in a target image, attributes and patterns associated with the attributes, each the attributes being assigned to each the plurality of areas, and each the pattern being created from areas having an identical attribute among the attributes; and a processor configured to: obtain an area that is specified in the target image and an attribute that is assigned to the specified area, search the storage for a pattern based on similarity between the pattern and a pattern created from a certain number of areas having the assigned attribute; and search for an area in the target image based on similarity between the area and the certain number of areas in accordance with the searched pattern.

Abstract: An image retrieval method includes reading from a first database a first image group mapped to an object as a retrieval target, and extracting an image feature quantity of a plurality of images of the first image group. A second image group mapped to an object as a search key is read from a second database and an image feature quantity of a plurality of images of the second image group is extracted. Similarity is determined between the first image group and the second image group, based on the image feature quantity of the plurality of images of the first image group and the image feature quantity of the plurality of images of the second image group. On an output device, as retrieval results, the plurality of images of the first image group are displayed in order of similarity of the object as the retrieval target based on determined similarity.

Abstract: An image display apparatus includes a display device and a computer configured to execute a program to cause the computer to serve as a display controlling part. The display part displays a first CT image and a second CT image simultaneously. The first CT image and the second CT image represent the same object but taken in different time periods. The display controlling part performs: displaying the first and second CT images simultaneously on the display device according to a first display mode; determining a target portion designated in the first CT image; and changing a display mode of a corresponding portion of the second CT image from the first display mode into a second display mode, the corresponding portion corresponding to the target portion designated in the first CT image.

Abstract: A device includes a processor configured to execute a process including extracting a pixel value of each of a plurality of areas of a same color that are arranged at different positions on a color chart that is captured in an image, and specifying by using the extracted pixel values of the areas and arrangement positions of the areas of the same color an area that has a pixel value that corresponds to a function that expresses fluctuation of pixel values according to a position due to non-uniformity of an illumination environment that fluctuates the pixel values at a constant rate in one direction, and correcting a pixel value of a correction target area between the areas of the same color according to the pixel value of the specified area.

Abstract: An information processing apparatus includes: a storage unit that stores a table including information on regions respectively occupied by a plurality of solids whose vertices are defined by a plurality of reference colors that are set in a color space, each of the solids having an evaluation value less than a setting value, the evaluation value decreasing as the length of edges thereof decreases, the solids being arranged such that faces thereof do not cross each other; and a computing unit that specifies a solid containing an input color with use of the table, and performs interpolation processing of the input color with use of the reference colors corresponding to the vertices of the specified solid.

Abstract: Embodiments describe an image retrieval apparatus. The image retrieval apparatus includes an unlabelled image selector for selecting one or more unlabelled image(s) from an image database; and a main learner for training in each feedback round of the image retrieval, estimating relevance of images in the image database and a user's intention, and determining retrieval results, wherein the main learner makes use of the unlabelled image(s) selected by the unlabelled image selector in the estimation. In addition, the image retrieval apparatus may also include an active selector for selecting, in each feedback round and according to estimation results of the main learner, one or more unlabelled image(s) from the image database for the user to label.

Abstract: A binarization processing unit generates a binary image by comparing the visual feature of each pixel of an input image with a predetermined binarization threshold and binarizing the value of each pixel of the input image based on the comparison result. The binarization processing unit performs this process while changing the binarization threshold, thereby generating a plurality of binary images. A contour detecting unit calculates the area of a closed region having an overlap between the plurality of binary images, and determines the binarization threshold to be used for detecting a boundary of the corresponding closed region as a contour of an object, based on the area change rate of the corresponding closed region caused by changing the binarization threshold.

Abstract: An image identifying device includes: a setting unit which sets a section having at least one image in a video; a first recognizing unit which calculates a plurality of feature amounts related to at least the one image and which acquires a plurality of identification results corresponding to each of the feature amounts from an identifier which may identify a plurality of objects belonging to a first category; a selecting unit which selects, based on the identification results, a second category of a third category; and a second recognizing unit which calculates another feature amount related to an image included in another section and acquires another identification result corresponding to the feature amount from another identifier which may identify the objects included in the second category.

Abstract: The invention provides a method and apparatus for acquiring descriptive information of a plurality of images and an image matching method. The method for acquiring descriptive information of a plurality of images includes: performing a feature point detection with respect to each image of the plurality of images, so as to obtain a plurality of feature points of each image; acquiring 0-level descriptive information of the plurality of images; and the following steps are performed for each image: performing a division of the image for the (n?1)th time, so as to obtain a plurality of (n?1)-level sub-images of the image; and (n?1)-level descriptive information of the image is generated in accordance with a plurality of nth local feature descriptors for the image and a plurality of nth visual words, where n=2,3, . . . , K+1, and K is a positive integer.

Abstract: An image identifying device includes: a setting unit which sets a section having at least one image in a video; a first recognizing unit which calculates a plurality of feature amounts related to at least the one image and which acquires a plurality of identification results corresponding to each of the feature amounts from an identifier which may identify a plurality of objects belonging to a first category; a selecting unit which selects, based on the identification results, a second category of a third category; and a second recognizing unit which calculates another feature amount related to an image included in another section and acquires another identification result corresponding to the feature amount from another identifier which may identify the objects included in the second category.

Abstract: Embodiments disclose methods and apparatuses for camera motion analysis in a video, wherein one of the methods includes: analyzing, video segments with significant movement characteristics and video segments without any significant movement characteristic; for each segment without any significant movement characteristic, if a first motion type corresponding to a preceding neighboring video segment is different from a second motion type corresponding to a succeeding neighboring video segment, lowering detection criterions of the first type and the second type; judging whether the segment without any significant movement characteristic meets the lowered detection criterions; and merging the segment without any significant movement characteristic with a neighboring video segment according to the result of judgment.