Fujitsu Corporation

Kentaro Murase

Kazuhiro Watanabe

Takuya Noda

Masaki Watanabe

Masakiyo Tanaka

Hiroshi Nakayama

Jun Takahashi

Satoshi Nakashima

Junichi Odagiri

Nobuyuki Katae

Akira Nakagawa

Shinji Kikuchi

Hitoshi Sasaki

Seiji Okura

Akinori Taguchi

Takuya Kamimura

Toshiyuki Fukuoka

Junya Saito

Ryosuke Kawamura

An image processing method executed by a computer, the method includes detecting a plurality of feature points of a face from an input image, referring to importance information that indicates an importance of a region within an image in a process of detecting a predetermined facial motion from the image, selecting, from the plurality of feature points detected by the detecting, one or more points that correspond to an image region including an importance indicated by the importance information equal to or smaller than a first threshold value, correcting the input image by using the one or more points selected by the selecting, to generate a corrected image; and determining whether or not the predetermined facial motion is occurring in the input image, based on an output obtained by inputting the corrected image to a recognition model.

Facial motion detection and image correction method and apparatus

An apparatus receives, via an input device, query input data including a word or a phrase, and acquires search result set data using the query input data. The apparatus acquires, for a value indicating a strength of a relationship between each impression word included in an impression word group and each word included in the query input data, and extracts the first feature word group according to the value indicating the strength of the relationship with each word, from the impression word group. The apparatus displays the search result set data using the first feature word group as an item.

Search method and search device

A pointing support device detects user's gaze position on a screen, sets the gaze position as an initial position of a pointer, displays a path starting from the initial position on the screen on the basis of path definition information, which defines the path to move the pointer and a movement pattern of the path and moves the pointer along the path.

Pointing support device, pointing support method, and non-transitory computer-readable recording medium

A pointing support apparatus includes a memory, and a processor coupled to the memory and configured to detect a line-of-sight position of a user on a screen, extract a command included in a search range of the screen with reference to the line-of-sight position, generate a table in which the command and speech information of the command are associated with each other, and decide, when speech information from outside is accepted, a command based on comparison of the recognized speech information and the speech information of the table.

Pointing support apparatus and pointing support method

A presentation supporting device extracts a first word from a character string included in each region divided from a page of a document file, and calculates a score, for each region in a page currently-displayed, based on the first word and a second word acquired as a result of a sound recognition, and calculates, when the highest score of scores is equal to or higher than a first threshold, a distance between a first region in which the highlight display is currently executed and a second region in which the highest score is equal to or higher than the first threshold, and executes a highlight display in the second region when a frequency corresponding to the distance between the first region and the second region is equal to or higher than a second threshold, and executes a highlight display in the first region, when the second threshold is not reached.

Presentation supporting device, presentation supporting method, and computer-readable recording medium

A synthetic speech text-input device is provided that allows a user to intuitively know an amount of an input text that can be fit in a desired duration. A synthetic speech text-input deviceincludes: an input unit that receives a set duration in which a speech to be synthesized is to be fit, and a text for a synthetic speech; a text amount calculation unit that calculates an acceptable text amount based on the set duration received by the input unit, the acceptable text amount being an amount of a text acceptable as a synthetic speech of the set duration; and a text amount output unit that outputs the acceptable text amount calculated by the text amount calculation unit, when the input unit receives the text.

Synthetic speech text-input device and program

A prosody modification device includes: a real voice prosody input part that receives real voice prosody information extracted from an utterance of a human; a regular prosody generating part that generates regular prosody information having a regular phoneme boundary that determines a boundary between phonemes and a regular phoneme length of a phoneme by using data representing a regular or statistical phoneme length in an utterance of a human with respect to a section including at least a phoneme or a phoneme string to be modified in the real voice prosody information; and a real voice prosody modification part that resets a real voice phoneme boundary by using the generated regular prosody information so that the real voice phoneme boundary and a real voice phoneme length of the phoneme or the phoneme string to be modified in the real voice prosody information are approximate to an actual phoneme boundary and an actual phoneme length of the utterance of the human, thereby modifying the real voice prosody information.

Prosody modification device, prosody modification method, and recording medium storing prosody modification program

An information presenting apparatus, based on display status on a screen, estimates text blocks that a user is likely to classify as poor-legibility blocks and is likely to wish to be read aloud. A simple device that allows selecting from the text blocks is provided. A poor-legibility-block extractor divides text to be displayed on the screen into blocks corresponding to individual text blocks, classifies blocks including characters of sizes less than or equal to a predetermined size as poor-legibility blocks, and assigns block numbers to the poor-legibility blocks. A document display unit displays areas of the respective poor-legibility blocks as distinguished from other areas, with block numbers assigned to the respective poor-legibility blocks. When the user presses a numeric key corresponding to a block number, text in the corresponding block is read aloud.

Apparatus for presenting information and method thereof

The present invention provides wave signal processing systems and methods that estimate a wave source direction and use that information to realize sharp directivity even in the case of a device that is compact or that has limited calculating capacity. A wave signal processing system of the present invention is provided with at least one sensor group made of at least two sensors, determines a difference signal between wave signals detected by any two sensors in at least one of the sensor groups and determines a differential signal of a wave signal detected by at least one sensor, and based on a combination of a sign of the difference signal and a sign of the differential signal and a positional relationship of the sensors, determines the sign of a delay time between the wave signals that are detected by the two sensors and determines the direction of the wave source based on whether the sign of the delay time is positive or negative.

Wave signal processing system and method

An input signal is input via an input part. A plurality of signal section candidate detecting parts having different detection algorithms detect an intended signal section candidate and a noise signal section candidate from the input signal. A signal section classifying part is notified of detection results from the respective signal section candidate detecting parts, and classifies the respective signal section candidates based on a combination of the detection results. The signal section classifying part classifies a signal section candidate, which is detected as an intended signal section candidate by all the signal section candidate detecting parts, as an intended signal section, classifies a signal section candidate, which is detected as a noise signal section candidate by all the signal section candidate detecting parts, as a stationary noise signal section, and classifies a signal section candidate, which is detected as an intended signal section candidate by any of the signal section candidate detecting parts and detected as a noise signal section candidate by either of the signal section candidate detecting parts, as a non-stationary noise signal section.

System and method for determining an intended signal section candidate and a type of noise section candidate

A user confirmation system using a recording medium capable of storing information includes a biological information obtaining part for obtaining first biological information on a user at a time of first use of a recording medium, an owner registration part for registering the first biological information in the recording medium, considering the user as an owner of the recording medium, and an owner confirmation part for detecting second biological information on a user at a time of second and later use of the recording medium, and determining whether or not the user using the recording medium is identical with the owner registered in the recording medium, based on the first and second biological information.

User confirmation system and method

An image sensor, a voice sensor, an auxiliary sensor part (infrared sensor, etc.), a total analyzing part, and an application communicate with each other through data/control signal communication units. Each sensor provides feedback on its signal detection results and control information used by the other sensors for determining a range of a detection target and a detection sensitivity at a time of subsequent signal acquisition, to the other sensors through the communication units. The total analyzing part investigates whether or not there is inconsistency among the results detected by the respective sensors, and provide control information to each sensor. Each sensor determines a range of a signal detection target and a detection sensitivity based on the obtained information, and acquires a signal in accordance with the determination.

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Kawasaki, Japan

Kentaro Murase