Fujitsu Corporation

Shugo Nakamura

Takayuki Baba

Yusuke Uehara

Susumu Endo

Daiki Masumoto

Masaki Ishihara

Masahiko Sugimura

Hirohisa Naito

Akira Miyazaki

Shigemi Nagata

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.

Computer-readable recording medium storing system management program, device, and method

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.

Program, method and apparatus for accumulating images that have associated text information

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.

Image processing apparatus and image processing method

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.

Image recognition device, image recognizing method, storage medium that stores computer program for image recognition

A computer-readable storage medium storing an image processing program that causes a computer to execute a process includes acquiring the same object identification information included in a plurality of image data items by referring to a storage unit that stores each of the image data items, object identification information that identifies an object included in the image data item, and a location information item that identifies a location of the object in the image data item in association with one another; acquiring the location of the object identified by the acquired object identification information in each of the image data items by referring to the storage unit; computing a difference between the acquired location information items; comparing the difference between the location information items with a predetermined location threshold value; and determining whether the image data items are to be in the same group.

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Yokohama, Japan

Shugo Nakamura