Patents by Inventor Kohtaro Sabe

Kohtaro Sabe has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20120134577
    Abstract: An information processing apparatus includes: a distinguishing unit which, by using an ensemble classifier, which includes a plurality of weak classifiers outputting weak hypotheses which indicates whether a predetermined subject is shown in an image in response to inputs of a plurality of features extracted from the image, and a plurality of features extracted from an input image, sequentially integrates the weak hypotheses output by the weak classifiers in regard to the plurality of features and distinguishes whether the predetermined subject is shown in the input image based on the integrated value. The weak classifier classifies each of the plurality of features to one of three or more sub-divisions based on threshold values, calculates sum divisions of the sub-divisions of the plurality of features as whole divisions into which the plurality of features is classified, and outputs, as the weak hypothesis, a reliability degree of the whole divisions.
    Type: Application
    Filed: November 3, 2011
    Publication date: May 31, 2012
    Applicant: SONY CORPORATION
    Inventors: Kohtaro SABE, Kenichi HIDAI, Kiyoto ICHIKAWA
  • Publication number: 20120084237
    Abstract: A data processing device includes a state value calculation unit which calculates a state value of which the value increases as much as a state with a high transition probability for each state of the state transition model, an action value calculation unit which calculates an action value, of which the value increases as a transition probability increases for each state of the state transition model and each action that the agent can perform, a target state setting unit which sets a state with great unevenness in the action value among states of the state transition model to a target state that is the target to reach by action performed by the agent, and an action selection unit which selects an action of the agent so as to move toward the target state.
    Type: Application
    Filed: September 29, 2011
    Publication date: April 5, 2012
    Applicant: SONY CORPORATION
    Inventors: Takashi HASUO, Kohtaro SABE, Kenta KAWAMOTO, Yukiko YOSHIKE
  • Publication number: 20120072141
    Abstract: A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data.
    Type: Application
    Filed: September 13, 2011
    Publication date: March 22, 2012
    Applicant: SONY CORPORATION
    Inventors: Kenichi Hidai, Kohtaro Sabe, Takashi Hasuo, Naoki Ide
  • Publication number: 20120057775
    Abstract: An information processing device includes a feature amount extracting unit configured to extract the feature amount of each frame of an image of a content for detector learning of interest that is a content to be used for learning of a highlight detector which is a model for detecting a scene in which the user is interested as a highlight scene; a clustering unit configured to use cluster information that is the information of the cluster obtained by performing cluster learning; a highlight label generating unit configured to generate a highlight label sequence; and a highlight detector learning unit configured to perform learning of the highlight detector.
    Type: Application
    Filed: March 31, 2011
    Publication date: March 8, 2012
    Inventors: Hirotaka Suzuki, Masato Ito, Kohtaro Sabe
  • Publication number: 20110319094
    Abstract: There is provided an information processing apparatus including: a positioning unit acquiring positioning information on a latitude and longitude showing a position of the positioning unit; a transmission unit transmitting a time-series log, which includes the positioning information acquired by the positioning unit, to a server; a reception unit receiving an activity model showing an activity state of a user, the activity model being obtained by a learning process carried out by the server based on the time-series log; a recognition unit recognizing a present activity state of the user using the positioning information acquired by the positioning unit and the activity model received by the reception unit; and a prediction unit predicting behavior of the user from the present activity state of the user recognized by the recognition unit.
    Type: Application
    Filed: June 16, 2011
    Publication date: December 29, 2011
    Applicant: Sony Corporation
    Inventors: TAKASHI USUI, SHINICHIRO ABE, MASAYUKI TAKADA, NAOKI IDE, MASATO ITO, KOHTARO SABE
  • Publication number: 20110305384
    Abstract: An information processing apparatus includes a first generation unit that generates learning images corresponding to a learning moving image, a first synthesis unit that generates a synthesized learning image such that a plurality of the learning images is arranged at a predetermined location and synthesized, a learning unit that computes a feature amount of the generated synthesized learning image, and performs statistical learning using the feature amount to generate a classifier, a second generation unit that generates determination images, a second synthesis unit that generates a synthesized determination image such that a plurality of the determination images is arranged at a predetermined location and synthesized, a feature amount computation unit that computes a feature amount of the generated synthesized determination image, and a determination unit that determines whether or not the determination image corresponds to a predetermined movement.
    Type: Application
    Filed: April 29, 2011
    Publication date: December 15, 2011
    Applicant: Sony Corporation
    Inventors: Kazumi AOYAMA, Kohtaro Sabe
  • Publication number: 20110302116
    Abstract: A data processing device including a learning section which expresses user movement history data obtained as learning data as a probability model which expresses activities of a user and learns parameters of the model; a destination and stopover estimation section which estimates a destination node and a stopover node from state nodes of the probability model; a current location estimation section which inputs the user movement history data in the probability model and estimates a current location node which is equivalent to the current location of the user; a searching section which searches for a route from the current location of the user to a destination using information on the estimated destination node and stopover node and the current location node and the probability model obtained by learning; and a calculating section which calculates an arrival probability and a necessary time to the searched destination.
    Type: Application
    Filed: May 26, 2011
    Publication date: December 8, 2011
    Inventors: Naoki Ide, Masato Ito, Kohtaro Sabe
  • Publication number: 20110299731
    Abstract: An information processing device includes a first calculation unit which calculates a score of each sample image including a positive image in which an object as an identification object is present and a negative image in which the object as the identification object is not present, for each weak identifier of an identifier including a plurality of weak identifiers, a second calculation unit which calculates the number of scores when the negative image is processed, which are scores less than a minimum score among scores when the positive image is processed; and an realignment unit which realigns the weak identifiers in order from a weak identifier in which the number calculated by the second calculation unit is a maximum.
    Type: Application
    Filed: May 26, 2011
    Publication date: December 8, 2011
    Applicant: Sony Corporation
    Inventors: Jun Yokono, Kohtaro Sabe
  • Publication number: 20110249863
    Abstract: An information processing device includes a face detection unit that detects a face area from a target image, a feature point detection unit that detects a feature point of the detected face area, a determination unit that determines an attention area that is an area to which attention is paid in the face area based on the detected feature point, a reference color extraction unit that extracts a reference color that is color setting obtained from the target image in the determined attention area, an adjustment unit that adjusts the extracted reference color to a color setting for a modified image generated from the target image as a base, and a generation unit that generates the modified image from the target image by drawing the attention area using the color setting for the modified image.
    Type: Application
    Filed: March 25, 2011
    Publication date: October 13, 2011
    Applicant: Sony Corporation
    Inventors: Takeshi OHASHI, Kohtaro Sabe
  • Patent number: 7979364
    Abstract: A learning control apparatus for an autonomous agent including a functional module having a function of multiple inputs and multiple outputs, the function receiving at least one variable and outputting at least one value, includes an estimating unit for estimating a causal relationship of at least one variable, a grouping unit for grouping at least one variable into a variable group in accordance with the estimated causal relationship, a determining for determining a behavior variable corresponding to each of the variable groups, and a layering unit for layering, in accordance with the variable group and the behavior variable, the function corresponding to each variable group, the function receiving the variable grouped into the variable group and outputting the behavior variable.
    Type: Grant
    Filed: January 22, 2009
    Date of Patent: July 12, 2011
    Assignee: Sony Corporation
    Inventors: Kenichi Hidai, Kohtaro Sabe
  • Publication number: 20110137833
    Abstract: The data processing apparatus includes a state series generation unit and a computing unit. The state series generation unit generates a time series data of state nodes from a time series data of event. The state transition model of the event is expressed as a stochastic state transition model. The computing unit computes the parameters for the stochastic state transition model of events by computing parameters of time series data corresponding to an appearance frequency of the state nodes, the appearance frequency of transitions among the state nodes and the like.
    Type: Application
    Filed: November 24, 2010
    Publication date: June 9, 2011
    Inventors: Naoki IDE, Masato Ito, Kohtaro Sabe
  • Publication number: 20110137834
    Abstract: A learning apparatus includes: a location acquiring section for acquiring time series data on locations of a user; a time acquiring section for acquiring time series data on times; and learning section for learning an activity model indicating an activity state of the user as a probabilistic state transition model, using the respective acquired time series data on the locations and the times as an input.
    Type: Application
    Filed: November 24, 2010
    Publication date: June 9, 2011
    Inventors: Naoki IDE, Masato Ito, Kohtaro Sabe
  • Publication number: 20110137835
    Abstract: An information processing device includes an acquisition unit acquiring a viewing log including information representing content of an operation for viewing content and time of the operation, a learning unit learning, based on the viewing log acquired by the acquisition unit, a viewing behavior model which is a stochastic state transition model representing a viewing behavior of a user, a recognition unit recognizing, using the viewing behavior model obtained through learning by the learning unit, a current viewing state of the user, a prediction unit predicting, using the viewing behavior model, the viewing behavior of the user after a predetermined period of time with the current viewing state of the user recognized by the recognition unit as a starting point, and a display control unit displaying information relating to content predicted to be viewed through the viewing behavior predicted by the prediction unit.
    Type: Application
    Filed: November 24, 2010
    Publication date: June 9, 2011
    Inventors: Masato ITO, Hirotaka Suzuki, Naoki Ide, Kohtaro Sabe
  • Publication number: 20110137831
    Abstract: A learning apparatus includes: an interpolating section which interpolates data missing in time series data; an estimating section which estimates a Hidden Markov Model from the time series data; and a likelihood calculating section which calculates the likelihood of the estimated Hidden Markov Model. The likelihood calculating section calculates the likelihood for normal data which does not have missing data and the likelihood for interpolation data which is interpolated data in different conditions and calculates the likelihood of the Hidden Markov Model for the time series data in which the data is interpolated. The estimating section updates the Hidden Markov Model so that the likelihood calculated by the likelihood calculating section becomes high.
    Type: Application
    Filed: November 2, 2010
    Publication date: June 9, 2011
    Inventors: Naoki IDE, Masato Ito, Kohtaro Sabe
  • Publication number: 20110112997
    Abstract: An information processing device includes a model learning unit that carries out learning for self-organization of internal states of a state transition prediction model which is a learning model having internal states, a transition model of the internal states, and an observation model where observed values are generated from the internal states, by using first time series data, wherein the model learning unit learns the observation model of the state transition prediction model after the learning using the first time series data, by fixing the transition model and using second time series data different from the first time series data, thereby obtaining the state transition prediction model having a first observation model where each sample value of the first time series data is observed and a second observation model where each sample value of the second time series data is observed.
    Type: Application
    Filed: October 29, 2010
    Publication date: May 12, 2011
    Inventor: Kohtaro SABE
  • Publication number: 20110091071
    Abstract: An information processing apparatus including an image acquisition unit that acquires a target image; a face part extraction unit that extracts a face region including a face part from the target image; an identification unit that identifies a model face part by comparing the face part to a plurality of model face parts stored in a storage unit; and an illustration image determination unit that determines an illustration image corresponding to the identified model face part.
    Type: Application
    Filed: October 12, 2010
    Publication date: April 21, 2011
    Applicant: Sony Corporation
    Inventors: Kohtaro SABE, Takeshi OHASHI
  • Patent number: 7912583
    Abstract: An environment map building method and an environment map building apparatus can express the surrounding embodiment with a high resolution in the height direction in a manner robust relative to observation noises.
    Type: Grant
    Filed: June 24, 2005
    Date of Patent: March 22, 2011
    Assignee: Sony Corporation
    Inventors: Steffen Gutmann, Masaki Fukuchi, Kohtaro Sabe, James R. Bruce
  • Publication number: 20110060709
    Abstract: A data processing apparatus includes an action learning unit configured to train a user activity model representing activity states of a user in the form of a probabilistic state transition model using time-series location data items of the user, an action recognizing unit configured to recognize a current location of the user using the user activity model obtained through the action learning unit, an action estimating unit configured to estimate a possible route for the user from the current location recognized by the action recognizing unit and a selection probability of the route, and a travel time estimating unit configured to estimate an arrival probability of the user arriving at a destination and a travel time to the destination using the estimated route and the estimated selection probability.
    Type: Application
    Filed: September 2, 2010
    Publication date: March 10, 2011
    Inventors: Naoki Ide, Masato Ito, Kohtaro Sabe
  • Publication number: 20110029465
    Abstract: A data processing apparatus includes an obtaining unit configured to obtain time-series data from a wearable sensor, an activity model learning unit configured to learn an activity model representing a user activity state as a stochastic state transition model from the obtained time-series data, a recognition unit configured to recognize a current user activity state by using the activity model of the user obtained by the activity model learning unit, and a prediction unit configured to predict a user activity state after a predetermined time elapses from a current time from the current user activity state recognized by the recognition unit.
    Type: Application
    Filed: July 19, 2010
    Publication date: February 3, 2011
    Inventors: Masato ITO, Kohtaro Sabe, Hirotaka Suzuki, Jun Yokono, Kazumi Aoyama, Takashi Hasuo
  • Publication number: 20110010176
    Abstract: An HMM (Hidden Markov Model) learning device includes: a learning unit for learning a state transition probability as the function of actions that an agent can execute, with learning with HMM performed based on actions that the agent has executed, and time series information made up of an observation signal; and a storage unit for storing learning results by the learning unit as internal model data including a state-transition probability table and an observation probability table; with the learning unit calculating frequency variables used for estimation calculation of HMM state-transition and HMM observation probabilities; with the storage unit holding the frequency variables corresponding to each of state-transition probabilities and each of observation probabilities respectively, of the state-transition probability table; and with the learning unit using the frequency variables held by the storage unit to perform learning, and estimating the state-transition probability and the observation probability bas
    Type: Application
    Filed: July 2, 2010
    Publication date: January 13, 2011
    Inventors: Yukiko YOSHIIKE, Kenta Kawamoto, Kuniaki Noda, Kohtaro Sabe