Sony Corporation

Sony Electronics Inc

Sony International (Europe) Gmbh

Sony Deutschland Gmbh

Katsuki Minamino

Hiroaki Ogawa

Yasuharu Asano

Kazuo Ishii

Masanori Omote

Kenta Kawamoto

Helmut Lucke

Yoshinori Maeda

Jun Yokono

Kazuo Watanabe

Yasuhiko Kato

Hirotaka Suzuki

Miyuki Tanaka

Masao Watari

Masato Ito

Hiroshi Kakuda

Hideki Shimomura

Kazumi Aoyama

Eiji Yamamoto

Kohtaro Sabe

Kenichi Hidai

Yukiko Yoshiike

Thomas Kemp

Masahiro Fujita

Makoto Akabane

Atsuo Hiroe

Hitoshi Honda

Rika Horinaka

Tetsuya Kagami

Yusuke Iwahashi

Takeshi Ohashi

Tsuyoshi Takagi

Xavier Menendez-Pidal

Ralf Kompe

Mario Tokoro

Kuniaki Noda

Gustavo Hernandez-Abrego

Raquel Tato

Tetsu Natsume

Gabriel Costa

Michael Siegfried Spranger

Satoshi Asakawa

An image processing device includes a difference image generation unit which generates a difference image by obtaining a difference between frames of a cutout image which is obtained by cutting out a predetermined region on a photographed image; a feature amount extracting unit which extracts a feature amount from the difference image; and a recognition unit which recognizes a specific movement of an object on the photographed image based on the feature amount which is obtained from the plurality of difference images which are aligned in time sequence.

Image processing device and method for moving gesture recognition using difference images

An information processing apparatus includes circuitry that is configured to provide a user interface to control a plurality of controllable objects. The user interface is associated with a gesture recognition area that is defined by a predetermined detection area of a sensor. The gesture recognition area is divided into a plurality of gesture recognition sub-areas based on a number of the controllable objects to be controlled by the user interface. The circuitry is further configured to detect a predetermined gesture within the predetermined detection area, determine the gesture recognition sub-area in which the predetermined gesture is detected, and perform an operation on one of the controllable objects based on the detected predetermined gesture and the determined gesture recognition sub-area in which the predetermined gesture is detected.

Gesture recognition areas and sub-areas for interaction with real and virtual objects within augmented reality

There is provided an information processing device including a storage unit configured to store identification data and attribute data of each of a plurality of pieces of content, the attribute data being associated with the identification data, and a retrieval unit configured to specify attribute data corresponding to a retrieval key and perform retrieval of identification data related to another attribute data associated with identification data related to the specified attribute data.

Information processing device, information processing system, information processing method, and program

An information processing apparatus includes: model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor; and controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means.

Information processing apparatus, information processing method, and computer program for controlling state transition

Image processing device, method and program for moving gesture recognition using difference images

There is provided a voice processing device. The device includes: score calculation unit configured to calculate a score indicating compatibility of a voice signal input on the basis of an utterance of a user with each of plural pieces of intention information indicating each of a plurality of intentions; intention selection unit configured to select the intention information indicating the intention of the utterance of the user among the plural pieces of intention information on the basis of the score calculated by the score calculation unit; and intention reliability calculation unit configured to calculate the reliability with respect to the intention information selected by the intention selection unit on the basis of the score calculated by the score calculation unit.

Voice processing device and method, and program

An apparatus, method and program for performing a speech recognition process utilizing contextual information that comprises an estimation of the intention of an utterance of a user. The recognition process includes calculating a pre-score based on observed contextual information according intention models which correspond to a plurality of types of intention information and combining the pre-scoring results with acoustic and linguistic scores to obtain an improved recognition or comprehension of the intent of a user utterance.

Information processing apparatus, information processing method, and program

Information processing apparatus, information processing method, and computer program

An information processing device includes an obtaining unit to obtain two pieces of information that are targets for searching for connections; a connection searching unit to use an action model wherein the manner of obtaining, from input information, obtain related information that relates to the input information is modeled, and find connection information to connect the two pieces of information, thereby searching connections between the two pieces of information; and a search result output unit to output the search results of the connections between the two pieces of information.

Information processing device, information processing method, and program

A learning apparatus includes a storage unit configured to store a network formed by a plurality of nodes each holding dynamics; a learning unit configured to learn the dynamics of the network in a self-organizing manner on the basis of observed time-series data; a winner-node determiner configured to determine a winner node, the winner node being a node having dynamics that best match the time-series data; and a weight determiner configured to determine learning weights for the dynamics held by the individual nodes according to distances of the individual nodes from the winner node. The learning unit is configured to learn the dynamics of the network in a self-organizing manner by degrees corresponding to the learning weights.

Learning apparatus, learning method, and program for efficiently learning dynamics

A speech recognition apparatus in which the accuracy in speech recognition is improved as the resource is prevented from increasing. Such a word which is probable as the result of the speech recognition is selected on the basis of an acoustic score and a linguistic score, while word selection is also performed on the basis of a measure different from the acoustic score, such as the number of phonemes being small, a part of speech being a pre-set one, inclusion in the past results of speech recognition or the linguistic score being not less than a pre-set value. The words so selected are subjected to matching processing.

Speech recognition device and speech recognition method and recording medium utilizing preliminary word selection

An information processing apparatus includes a storage unit configured to store a node holding dynamics; an input-weight-coefficient adjuster configured to adjust input-weight coefficients on a dimension-by-dimension basis, the input-weight coefficients being weight coefficients for individual dimensions of input data input to input units of the node, the input data being observed time-series data having a plurality of dimensions; and an output-weight-coefficient adjuster configured to adjust output-weight coefficients on a dimension-by-dimension basis, the output-weight coefficients being weight coefficients for individual dimensions of output data having a plurality of dimensions and output from output units of the node.

A system and method for an automatic set-up of speech recognition engines may include a speech recognizer configured to perform speech recognition procedures to identify input speech data according to one or more operating parameters. A merit manager may be utilized to automatically calculate merit values corresponding to the foregoing recognition procedures. These merit values may incorporate recognition accuracy information, recognition speed information, and a user-specified weighting factor that shifts the relative effect of the recognition accuracy information and the recognition speed information on the merit values. The merit manager may then automatically perform a merit value optimization procedure to select operating parameters that correspond to an optimal one of the merit values.

System and method for an automatic set-up of speech recognition engines

A learning system is provided, which includes network storage means for storing a network including a plurality of nodes, each of which holds a dynamics; and learning means for self-organizationally updating the dynamics of the network on the basis of measured time-series data.

Apparatus and method for embedding recurrent neural networks into the nodes of a self-organizing map

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Tokyo, Japan

Katsuki Minamino