Fujitsu Corporation

Shigemi Nagata

Daiki Masumoto

Takayuki Baba

Susumu Endo

Yusuke Uehara

Shuichi Shiitani

Rujie Liu

Masaki Ishihara

Takashi Kimoto

Hiroshi Yamakawa

Masahiko Sugimura

Naoki Sashida

Minoru Sekiguchi

Shugo Nakamura

Tamami Sugasaka

Hiroki Kitagawa

Satoshi Naoi

Hirotaka Chiba

Hirohisa Naito

Masahiro Mori

Jun Moroo

Kazuo Asakawa

Kazuhiko Sato

Akira Miyazaki

Katsuhiko Nishikawa

Yoshinori Yaginuma

Tomohisa Mikami

Shigeyoshi Nakamura

Toshio Konaka

Kazushige Saga

Shuchi Shiitani

Akira Inoue

Yuehong Wang

Dai Miyawaki

Susumu Endou

This invention discloses an image retrieval apparatus. The image retrieval apparatus comprises 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.

Image retrieval apparatus

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.

Apparatus and method for retrieving image

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.

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.

Computer-readable storage medium storing image processing program, image processing method, and image processing device

A playback apparatus that divides the content into scenes;

Playback apparatus and playback method

A computer readable recording medium stores an information attachment program for attaching meta-information to multimedia data executed by a computer. The program causes the computer to perform an acquisition step of acquiring a search word of a text search done at a search site; a monitoring step of monitoring whether or not a search frequency of the search word acquired in the acquisition step satisfies a predetermined criterion; a determination step of determining whether or not at least a portion of the search word matches a character recognition processing result of the multimedia data when the search frequency of the search word is determined to satisfy the predetermined criterion in the monitoring step; and a registration step of registering the search word as meta-information of the multimedia data when, as a determination result of the determination step, the search word matches the character recognition processing result.

Recording medium storing information attachment program, information attachment apparatus, and information attachment method

A computer-readable recording medium that stores a program for causing a computer to edit an electronic document including a plurality of hierarchically arranged objects. The program makes a computer execute extracting an object from the electronic document including the hierarchically arranged objects representing one of a text, an image, a drawing and a table; determining whether the extracted object is superimposed by a user specified area serving as a masking area of a target document input by a user; and converting, into different information, information included in an area of the object determined to be superimposed by the user specified area.

Document editing to prevent leaking secret information by masking an area including hierarchically arranged objects

The present invention relates to three-dimensional model retrieval apparatus and method. The three-dimensional model retrieval apparatus according to the present invention comprises a model normalizing unit for rotating and/or translating a three-dimensional model so that main axis directions of the three-dimensional model are consistent with coordinate axes of a system coordinate system, and barycenter of the three-dimensional model is consistent with origin of the system coordinate system; a two-dimensional image generating unit for projecting said three-dimensional model respectively in a positive direction and a negative direction of each coordinate axis of said system coordinate system to generate a plurality of two-dimensional images; a model describing unit for generating a model descriptor of the three-dimensional model from said two-dimensional images; and a retrieving unit for retrieving, based on said model descriptor, a three-dimensional model which most matches an input query from a model database.

Apparatus and method for three-dimensional model retrieval

A multimedia integrated retrieval apparatus includes a feature value extracting unit calculating a feature value of single media data; a media information storage unit storing the feature value and storing composite media data in association with the single media data; a retrieval processing unit identifying other pieces of single media data corresponding to the single media data; a retrieval controlling unit, generating structural body data that includes a first node indicative of the single media data, a second node indicative of the another piece of single media data, a first link connecting the first node to the second node, a third node indicative of another composite media data, and a second link connecting the third node to the second node, if the another piece of composite media data including the another piece of single media data is present; and a display unit displaying the structural body data.

Apparatus for multimedia integrated retrieval and storage medium storing a multimedia integrated retrieval program

According to an aspect of an embodiment, a method for searching image data representing an image from a database by using a query image, the image data including information indicative of a shape of a contour of the image, comprising: obtaining a query image data representing the query image; extracting information indicative of a shape of a contour of the query image; and determining the image data in the database on the basis of correlation of the topological characteristics of the shapes of the contours of the images and the query image.

Image search method, apparatus, and program

A design support apparatus extracts feature data corresponding to design data to be searched upon receiving the design data to be searched. The apparatus checks the extracted feature data against the feature data associated with the feature associated information, ordering the design data associated with the feature associated information in descending order of similarity to the design data to be searched, retrieving one piece of the ordered design data. The apparatus generates a classification hierarchy consisting of pieces of classification data obtained by classifying a set of the retrieved design data based on a degree of feature similarity using the feature data associated with the feature associated information. The apparatus selects the design information closely associated with the classification data by fetching the design information corresponding to the design data contained in the classification data from the design associated information associating the design data and the design information.

Recording medium storing a design support program, design support method, and design support apparatus

This invention is to enable retrieving of a content the searcher imagines in mind. The search method includes: obtaining a query brain image representing a brain activity state of a searcher when perceiving or imagining the content to be retrieved; identifying the content corresponding to the query brain image by using a structure associating a content with a brain image representing the brain activity state when perceiving the content; and outputting the content corresponding to the query brain image. Thus, by using the query brain image, without specifically indicating the content such as a drawing, the searcher can extract the pertinent content only by imaging the content.

Content search method and apparatus

A pattern retrieving unit includes an acquiring unit that acquires a representative pattern image; a setting unit that sets a use condition of a type of shape feature of the representative pattern image; a receiving unit that receives a query pattern image used as a query; a determining unit that determines the type of shape feature of the representative pattern image to be the type of shape feature of the query pattern image, based on the use condition; a retrieving unit that retrieves a pattern image identical or similar to the query pattern image, using determined type of shape feature; and an output unit configured to output a result of retrieval by the retrieving unit.

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Kawasaki, Japan

Shigemi Nagata