Fujitsu Corporation

Iemoto, Osamu

Noriaki Ozawa

Katsuhito Fujimoto

Hiroaki Takebe

Hiroshi Tanaka

Yusaku Fujii

Yoshinobu Hotta

Akihiro Minagawa

Satoshi Naoi

Yutaka Katsuyama

Taichi Murase

Nobuyuki Hara

Takehiro Nakai

Seiji Takahashi

Atsunori Moteki

Yoshio Fukasawa

Osamu Iemoto

Junichi Hirai

Kiichiro Watanabe

Masaki Inami

Hiroto Toda

An information processing apparatus includes an image capturing section to capture an image of a hand; an extracting section to extract a hand area from the captured image; a reference line determining section to determine a reference pushdown line in the image on the hand area; a determining section to determine a pushdown move if the bottom part of the hand area comes below the reference pushdown line; a first position determining section to determine a depth position based on an aspect ratio of the hand area if the pushdown move is determined; a second position determining section to determine a lateral position based on a position of the bottom part of the hand area if the pushdown move is determined; and an input key determining section to determine an input key from the determined depth position and lateral position.

Information processing apparatus and input control method

An image processing device that accesses a storage unit that stores a feature point of a recognition-target object, the device includes an obtaining unit mounted with a user and configured to obtain image data in a direction of a field of view of the user; a recognizing unit configured to recognize the recognition-target object included in the image data by extracting a feature point from the image data and associating the extracted feature point and the feature point of the recognition-target object stored in the storage unit with each other; a calculating unit configured to calculate a location change amount of the feature point corresponding to the recognition-target object recognized by the recognizing unit from a plurality of the image data obtained at different times and calculate a motion vector of the recognition-target object from the location change amount; and a determining unit configured to determine a movement.

Image processing device and method

A program causes a computer to function as a document recognition apparatus, having an extraction unit for extracting connected components of pixels from an input image, a generation unit for generating a reference element that is connected components of pixels extracted by the extraction unit and combined elements obtained by combining the reference element and connected components of pixels adjacent to the reference element as an element to be estimated, a calculation unit for calculating a degree of certainty that indicates how much the element to be estimated generated by the generation unit seems to be a character, and a determination unit for identifying elements that seem to be characters among the elements to be estimated based on the degree of certainty calculated by the calculation unit.

Storage medium, apparatus and method for recognizing characters in a document image using document recognition

An image recognition apparatus recognizes the correspondence between character strings and logical elements composing a logical structure in an image in which the character strings are described as the logical elements to recognize each logical element. The image recognition apparatus includes outputting means for outputting the recognized logical elements when the correspondence is recognized or re-recognized; first determining means for determining a certain logical element to be correct when input of a determination request to determine the logical element is received from a user; second determining means for determining the correctness of all the logical elements output before the logical element determined by the first determining means and is positioned according to confirmation by the user; and re-recognizing means for re-recognizing the correspondence between logical elements that have not been determined to be correct and the character strings on the basis of the determination content for each logical element.

Image recognition apparatus, image recognition method, and storage medium recording image recognition program

The form data extracting apparatus, even input form does not have a logical structure stored in the generic logical structure DB, by using logical elements in the existing logical structure and a registered form obtained on the basis of (a) the logical structure, (b) pieces of position information of the logical elements, and (c) a relation between the logical elements. A logical element and a logical structure are extracted from the input form, and the extracted logical structure can be defined as a new registered form or a new logical structure.

Computer readable recording medium on which form data extracting program is recorded, form data extracting apparatus, and form data extracting method

A method for assisting in the creation of a logical structure model, which stores, from an image in which character strings associated respectively with a plurality of logical elements constituting a logical structure are described, the logical elements, character strings associated with the logical elements, and the logical structure, wherein character strings in an input image and the logical structure among the character strings in the input image are extracted, a logical element is selected among the plurality of logical elements according to the degrees of similarity between the extracted character strings and the character string associated respectively with the plurality of logical elements stored in the logical structure model, a character string associated with the selected logical element and a character string in the input image associated with the logical element based on the logical structure among the extracted character strings in the input image are extracted.

Recording medium for recording logical structure model creation assistance program, logical structure model creation assistance device and logical structure model creation assistance method

An image recognition method is conducted by recognizing logical elements based on a logical structure model set to correspond to the logical structure of an image of individual character strings, collecting information processed with the logical structure model of images of a logical structure, acquiring a recognition result when recognizing an image of a logical structure by processing information collected with a post-update logical structure model, and outputting warning information about the post-update logical structure model to an output unit when a result of the comparison is a non-match.

Image recognition apparatus, method and system for realizing changes in logical structure models

A document recognizing apparatus includes a display control unit which displays a document data including a character string related to a character string selected by a user, and an area that includes at least a character string of the document data.

Document recognizing apparatus and method

A pointing information extraction unit extracts pointing information indicating a pointing position and a pointing time on a slide from a slide file used in a lecture and a video file of a lecture video using a pointing device. A word information generation unit analyzes a text sentence extracted from the slide file to generate a word information file indicating a word and a position thereof. A word pointing information generation unit estimates a word closest to the pointing position on the slide to generate a word pointing information file with the pointing time assigned. A fill-in-the-blank word extraction unit extracts a word having a pointing time equal to or longer than a predetermined time from the word pointing information as a fill-in-the-blank word file. A fill-in-the-blank test question is generated by setting the fill-in-the-blank word of the slide information as a blank region.

Program, method and apparatus for generating fill-in-the-blank test questions

The present invention as disclosed hereby is to provide an apparatus and method for allowing images to correspond to each other and a program therefore to automatically perform or make synchronous correspondence of images. According to the apparatus on the condition that there are OHP files and a moving image photographing a lecture or the like using such OHP files, resemblances between the OHP files and OHP image regions of frame images constituting the moving image is calculated such that the correspondence processing between the OHP files and the frame images can be performed based on the calculated resemblances.

Apparatus and method for allowing images to correspond to each other and program therefor

In an apparatus for analyzing a layout of a document, a character candidate element generator generates character candidate elements from black pixel linkage components of a document image. A horizontally oriented line rectangle generator sets a plurality of character candidate elements as a line candidate rectangle, among character candidate elements aligned in horizontal line orientation, when each amount of displacement of the set character candidate elements in a vertical orientation with respect to the horizontal line orientation, is smaller than or equal to a threshold value. A horizontally oriented paragraph-box generator sets a plurality of line candidate elements having approximately the same length as each other in the vertical orientation, as a paragraph candidate element.

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Kawasaki, Japan

Noriaki Ozawa