Sony Corporation

Binsted-mckay Yugen-kaisha

Hideki Shimomura

Kazumi Aoyama

Masahiro Fujita

Katsuki Minamino

Atsushi Okubo

Tsuyoshi Takagi

Ugo Di Profio

Seiji Kobayashi

Kohtaro Sabe

Jun Yokono

Takayuki Yoshigahara

Yoshihiro Wakita

Keiichi Yamada

Yasuhiro Sutou

Akichika Tanaka

Yukiko Yoshiike

Rika Horinaka

Gabriel Costa

Kenta Kawamoto

Hiroaki Ogawa

Yasuharu Asano

Shoichi Ikenoue

Shinya Ohtani

Osamu Hanagata

Kazuhiko Tajima

Seiichi Aoyagi

Rika Hasegawa

Justin McKay

Kimberly Binsted

Provided is an image processing device including an acquisition unit configured to acquire information on an imaging position and an imaging direction in units of frame images that constitute a moving image obtained through capturing by an imaging unit, a converted image generation unit configured to generate converted images having different imaging directions for each frame image that constitutes the moving image based on the frame image itself and preceding and succeeding frame images of the frame image, an evaluation value calculation unit configured to calculate an evaluation value for each converted moving image constituted by combining the converted image and the original frame image, the evaluation value being used to evaluate a blur between the converted images or between the original frame images, and a selection unit configured to select a converted moving image with less blur based on an evaluation value calculated by the evaluation value calculation unit.

Image processing device and method, and program for correcting an imaging direction

Provided is an information processing apparatus including a learning part performing learning of a model of an environment in which an agent performs action, using an observed value observed in the agent when the agent capable of action performs action, an action determining part determining action to be performed by the agent, based on the model, and a user instruction output part outputting instruction information representing an instruction from a user according to the instruction from the user, wherein the action determining part determines the action performed by the agent according to the instruction information when there is an instruction from the user.

Information processing to provide entertaining agent for a game character

An information processing device, and method use an attribute control unit to change an association between a detected object and an attribute stored in association with the detected object in response to a detected physical action between the detected object and another detected object. By changing an association of an attribute between detected objects allows for an autonomous tracking of substances that are moved between objects.

Information processing device and an information processing method

Image processing device and method, and program for correcting a blurred moving image

There is provided an image processing device including a recognition unit that recognizes exercise of a person reflected in an input image, and a display control unit that superimposes on the input image a virtual object varying according to effectiveness of the exercise recognized by the recognition unit. The image processing device further includes a score calculation unit that calculates a score denoting the effectiveness of the exercise recognized by the recognition unit, and the display control unit superimposes on the input image the virtual object representing greatness of the score calculated by the score calculation unit.

Image processing device, image processing method, and program

This invention realizes a speech communication system and method, and a robot apparatus capable of significantly improving entertainment property. A speech communication system with a function to make conversation with a conversation partner is provided with a speech recognition means for recognizing speech of the conversation partner, a conversation control means for controlling conversation with the conversation partner based on the recognition result of the speech recognition means, an image recognition means for recognizing the face of the conversation partner, and a tracking control means for tracing the existence of the conversation partner based on one or both of the recognition result of the image recognition means and the recognition result of the speech recognition means. The conversation control means controls conversation so as to continue depending on tracking of the tracking control means.

Speech communication system and method, and robot apparatus

A robot can make a dialog customized for the user by first storing various pieces of information appendant to an object as values of the corresponding items of the object. A topic that is related to the topic used in the immediately preceding conversation is then selected. Then, an acquisition conversation for acquiring the value of the item of the selected topic or a utilization conversation for utilizing the value of the item of the topic that is already stored is generated as the next conversation. The value acquired by the acquisition conversation is stored as the value of the corresponding item.

Dialog control device and method, and robot device

A data processing device for processing time-sequence data includes a data extracting unit extracting time-sequence data for a predetermined time unit from time-sequence data; and a processing unit obtaining scores for nodes of an SOM configured from multiple nodes provided with a spatial array configuration, the scores showing applicability to time-sequence data for a predetermined time unit thereof. The node with the best score is determined to be the winning node which is the node most applicable. The processing unit obtains scores as to the time-sequence data for one predetermined time unit, regarding a distance-restricted node wherein distance from the winning node as to the time-sequence for a predetermined time unit immediately preceding the time-sequence data of one predetermined time unit is within a predetermined distance. The distance-restricted node with the best the score is determined to be the winning node.

Identifying temporal sequences using a recurrent self organizing map

Conventional robot apparatus etc. can not perform name-learning naturally. Learning the name of an object is performed such a manner that the name of a target object is obtained through dialog with a human being, the name is stored in association with plural items of different characteristic data detected for the target object, and a new object is recognized based on the stored data and associative information, the name and characteristic data of the new person are obtained and this associative information is stored.

Learning equipment and learning method, and robot apparatus

An information processing apparatus includes a first learning unit adapted to learn a first SOM (self-organization map), based on a first parameter extracted from an observed value, a winner node determination unit adapted to determine a winner node on the first SOM, a searching unit adapted to search for a generation node on a second SOM having highest connection strength with the winner node, a parameter generation unit adapted to generate a second parameter from the generation node, a modification unit adapted to modify the second parameter generated from the generation node, a first connection weight modification unit adapted to modify the connection weight when end condition is satisfied, a second connection weight modification unit adapted to modify the connection weight depending on evaluation made by a user, and a second learning unit adapted to learn the second SOM based on the second parameter obtained when the end condition is satisfied.

Information processing apparatus, information processing method, and program

A sentence generating method and apparatus for generating a joke sentence set having a dual meaning. A predetermined word in a selected first idiom is stored in a W list. A word of analogous sound having the pronunciation same as or analogous with the word in the W list and also being of the same word class as the word in the W list is stored in a RW list. It is then checked whether or not the subject word stored in the P list has a semantic relationship with the word of the analogous sound in the RW list. If the result of check is affirmative, a first joke sentence having the subject word in the P list and composed of the subject word of the P list and the first idiom is generated. A second idiom, corresponding to the first idiom, in which the word in the W list is replaced by the word of the analogous sound in the RW list, is generated, and a second joke sentence composed of the subject word of the P list and the second idiom is generated.

Sentence creation apparatus and creation method

A robot apparatus that is able to determine whether to ask a user for help, according to robot's situations. The robot apparatus determines based on an external or internal situation of the robot and its serious level whether to ask for help. When the robot apparatus decides to ask for help, it selects an action asking for help, according to the external or internal situation and the serious level, and takes the action.

Robot apparatus and control method thereof

The present invention relates to a program that allows a conversation to be performed with a user in a natural and human-like manner. Each of response candidate generating modulesthroughgenerates response candidate data based on its own rule, in response to voice data input from the outside through an input moduleand a response selecting module, and calculates a score of the response candidate data based on the response candidate data, the voice data and internal status data recorded in an internal status recording module, and then supplies the score to a response selecting module. In response to the supplied score, the response selecting moduleselects, as response data responsive to the input voice data, one piece of response candidate data, and outputs the one piece of response candidate data through a response output module. The present invention is applicable to a voice interactive apparatus mounted on a robot, etc.

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Kanagawa, Japan

Hideki Shimomura