公开(公告)号：US08560467B2

公开(公告)日：2013-10-15

申请号：US12839321

申请日：2010-07-19

申请人： Masato Ito ,  Kohtaro Sabe ,  Hirotaka Suzuki ,  Jun Yokono ,  Kazumi Aoyama ,  Takashi Hasuo

发明人： Masato Ito ,  Kohtaro Sabe ,  Hirotaka Suzuki ,  Jun Yokono ,  Kazumi Aoyama ,  Takashi Hasuo

IPC分类号： G06F15/18

CPC分类号： G06K9/00335 ,  G06K9/00664 ,  G06K9/00778

摘要： A data processing apparatus includes an obtaining unit for obtaining time-series data, an activity model learning unit for learning an activity model representing a user activity state as a stochastic state transition model from the obtained time-series data, a recognition unit for recognizing a current user activity state by using the learned activity model, and a prediction unit for predicting a user activity state after a predetermined time elapses from a current time from the recognized current user activity state, wherein the prediction unit predicts the user activity state as an occurrence probability, and calculates the occurrence probabilities of the respective states on the basis of the state transition probability of the stochastic state transition model to predict the user activity state, while it is presumed that observation probabilities of the respective states at the respective times of the stochastic state transition model are an equal probability.

摘要翻译： 数据处理装置包括：获取单元，用于获取时间序列数据;活动模型学习单元，用于从所获得的时间序列数据中学习表示用户活动状态的活动模型作为随机状态转换模型;识别单元，用于识别 通过使用所学习的活动模型的当前用户活动状态，以及预测单元，用于在从所识别的当前用户活动状态起从当前时间经过预定时间之后预测用户活动状态，其中，所述预测单元将所述用户活动状态预测为发生 概率，并且基于随机状态转换模型的状态转移概率来计算各个状态的发生概率以预测用户活动状态，同时假设在随机的各个时间的各个状态的观察概率 状态转换模型是相等的概率。

公开(公告)号：US08736457B2

公开(公告)日：2014-05-27

申请号：US13487166

申请日：2012-06-02

申请人： Takashi Hasuo ,  Kohtaro Sabe ,  Masato Ito ,  Yoshiyuki Kobayashi

发明人： Takashi Hasuo ,  Kohtaro Sabe ,  Masato Ito ,  Yoshiyuki Kobayashi

IPC分类号： G08B21/00 ,  G01R21/00 ,  H02J13/00 ,  G01R15/14

CPC分类号： H02J13/001 ,  G01R15/14 ,  G01R19/2513 ,  G08B21/0484

摘要： There is provided an information processing apparatus including a current waveform acquisition unit which acquires a current waveform from when a predetermined electric appliance is used, a communication unit which transmits the acquired current waveform of the electric appliance to a server apparatus, and receives control information on a character corresponding to the electric appliance from the server apparatus, and a display control unit which performs control of causing a predetermined display unit to display the character based on the received control information on the character.

摘要翻译： 提供了一种信息处理设备，包括：电流波形获取单元，其从使用预定的电器时获取电流波形;通信单元，其将所获取的电器的电流波形发送到服务器设备，并且接收控制信息 从服务器装置对应于电器的字符，以及显示控制单元，其执行使预定显示单元基于所接收的关于字符的控制信息来显示字符的控制。

公开(公告)号：US20120313789A1

公开(公告)日：2012-12-13

申请号：US13487166

申请日：2012-06-02

申请人： Takashi Hasuo ,  Kohtaro Sabe ,  Masato Ito ,  Yoshiyuki Kobayashi

发明人： Takashi Hasuo ,  Kohtaro Sabe ,  Masato Ito ,  Yoshiyuki Kobayashi

IPC分类号： G08B21/18

CPC分类号： H02J13/001 ,  G01R15/14 ,  G01R19/2513 ,  G08B21/0484

摘要： There is provided an information processing apparatus including a current waveform acquisition unit which acquires a current waveform from when a predetermined electric appliance is used, a communication unit which transmits the acquired current waveform of the electric appliance to a server apparatus, and receives control information on a character corresponding to the electric appliance from the server apparatus, and a display control unit which performs control of causing a predetermined display unit to display the character based on the received control information on the character.

摘要翻译： 提供了一种信息处理设备，包括：电流波形获取单元，其从使用预定的电器时获取电流波形;通信单元，其将所获取的电器的电流波形发送到服务器设备，并且接收控制信息 从服务器装置对应于电器的字符，以及显示控制单元，其执行使预定显示单元基于所接收的关于字符的控制信息来显示字符的控制。

公开(公告)号：US08849017B2

公开(公告)日：2014-09-30

申请号：US13427199

申请日：2012-03-22

申请人： Masato Ito ,  Kohtaro Sabe ,  Jun Yokono

发明人： Masato Ito ,  Kohtaro Sabe ,  Jun Yokono

IPC分类号： G06K9/62 ,  G06T7/00

CPC分类号： G06T7/0042 ,  G06T7/12 ,  G06T7/174 ,  G06T7/194 ,  G06T7/73 ,  G06T2207/20081 ,  G06T2207/20164

摘要： An image processing apparatus includes: an image feature outputting unit that outputs each of image features in correspondence with a time of the frame; a foreground estimating unit that estimates a foreground image at a time s by executing a view transform as a geometric transform on a foreground view model and outputs an estimated foreground view; a background estimating unit that estimates a background image at the time s by executing a view transform as a geometric transform on a background view model and outputs an estimated background view; a synthesized view generating unit that generates a synthesized view by synthesizing the estimated foreground and background views; a foreground learning unit that learns the foreground view model based on an evaluation value; and a background learning unit that learns the background view model based on the evaluation value by updating the parameter of the foreground view model.

摘要翻译： 一种图像处理装置包括：图像特征输出单元，其与帧的时间相对应地输出每个图像特征; 前景估计单元，其通过在前景视图模型上执行视角变换作为几何变换来估计时间s的前景图像，并输出估计的前景视图; 背景估计单元，其通过在背景视图模型上执行视图变换作为几何变换来估计在时间s的背景图像，并输出估计的背景视图; 合成视图生成单元，其通过合成估计的前景和背景视图来生成合成视图; 前景学习单元，其基于评估值学习前景视图模型; 以及背景学习单元，通过更新前景视图模型的参数，基于评估值来学习背景视图模型。

公开(公告)号：US08494984B2

公开(公告)日：2013-07-23

申请号：US12954381

申请日：2010-11-24

申请人： Masato Ito ,  Hirotaka Suzuki ,  Naoki Ide ,  Kohtaro Sabe

发明人： Masato Ito ,  Hirotaka Suzuki ,  Naoki Ide ,  Kohtaro Sabe

IPC分类号： G06F15/18

CPC分类号： G06K9/6297 ,  G06K9/00335 ,  H04N21/466 ,  H04N21/4663

摘要： 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.

摘要翻译： 一种信息处理设备，包括：获取单元，其获取包括表示用于观看内容和操作时间的操作的内容的信息的观看日志;基于由所述获取单元获取的观看日志的学习单元学习观看行为模型，所述观看行为模型是 表示用户的观看行为的随机状态转换模型，识别单元，使用通过学习单元的学习获得的观看行为模型识别用户的当前观看状态，预测单元，使用观看行为模型， 在由识别单元识别的用户的当前观看状态作为起点的预定时间段之后的用户的观看行为，以及显示控制单元，显示与通过由 预测单元。

公开(公告)号：US20120057775A1

公开(公告)日：2012-03-08

申请号：US13076744

申请日：2011-03-31

申请人： Hirotaka Suzuki ,  Masato Ito ,  Kohtaro Sabe

发明人： Hirotaka Suzuki ,  Masato Ito ,  Kohtaro Sabe

IPC分类号： G06K9/62 ,  G06K9/00

CPC分类号： H04N5/76 ,  G06K9/00711 ,  H04N5/775 ,  H04N5/781 ,  H04N5/783 ,  H04N9/8211

摘要： 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.

摘要翻译： 信息处理装置包括特征量提取单元，其被配置为提取作为用于学习高亮检测器的内容的感兴趣的用于检测器学习的内容的图像的每个帧的特征量，该高亮检测器是用于检测 用户感兴趣的场景作为高亮场景; 聚类单元，被配置为使用作为通过进行群集学习而获得的群集的信息的群集信息; 高亮标签生成单元，被配置为生成高亮标签序列; 以及高亮度检测器学习单元，被配置为执行高光检测器的学习。

公开(公告)号：US09589082B2

公开(公告)日：2017-03-07

申请号：US13878920

申请日：2011-11-07

申请人： Naoki Ide ,  Masato Ito ,  Kohtaro Sabe

发明人： Naoki Ide ,  Masato Ito ,  Kohtaro Sabe

IPC分类号： G06F17/50 ,  G01C21/34 ,  G01C21/36 ,  G08G1/01 ,  G06F17/18 ,  G01S5/00 ,  G06N99/00

CPC分类号： G06F17/5009 ,  G01C21/3484 ,  G01C21/3617 ,  G01S5/0009 ,  G06F17/18 ,  G06F17/50 ,  G06N99/005 ,  G08G1/0129

摘要： The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction. With estimation of state node series, an observation probability less contribution of data than actual data is employed regarding interpolated data. The present invention may be applied to a data processing device configured to predict a destination from movement history data, for example.

摘要翻译： 数据处理装置，数据处理方法和程序技术领域本发明涉及即使在实时获取的当前位置数据存在间隙的情况下也能进行预测的数据处理装置，数据处理方法和程序。 学习主处理器23表示作为用于学习的数据的运动历史数据，作为表示用户的活动的概率模型，并且获得其参数。 预测主处理器33使用通过学习获得的概率模型来实时地获得的移动历史数据来估计用户的当前位置。 在要实时获取的移动历史数据中包含数据缺失部分的情况下，预测主处理器33通过内插处理生成其数据缺失部分，并且估计与用于预测的内插数据相对应的状态鼻序列。 通过估计状态节点序列，对于内插数据采用数据比实际数据更少的观测概率。 本发明可以应用于例如被配置为从移动历史数据预测目的地的数据处理装置。

公开(公告)号：US09285235B2

公开(公告)日：2016-03-15

申请号：US14005648

申请日：2012-03-16

申请人： Naoki Ide ,  Yoshiyuki Kobayashi ,  Masato Ito ,  Kohtaro Sabe

发明人： Naoki Ide ,  Yoshiyuki Kobayashi ,  Masato Ito ,  Kohtaro Sabe

IPC分类号： G01C21/00 ,  G01C21/36 ,  G01C21/34 ,  G06N5/00

CPC分类号： G01C21/3617 ,  G01C21/3484

摘要： The present technique relates to an information processing device, an information processing method and a program which can accumulate sufficient movement history data with a little power consumption. A similarity search unit searches for a past route similar to the immediate movement history which is acquired by a position sensor unit and which has time series position data, from the search data stored in a past history DB. A fitness determination unit determines whether or not goodness of fit of the past route searched by the similarity search unit and the immediate movement history is a predetermined threshold or more. A sensor control unit controls an acquisition interval of the position data of the position sensor unit according to a determination result of the fitness determination unit. The technique of this disclosure is applicable to a prediction device which, for example, acquires position data and predicts a predicted route.

摘要翻译： 本技术涉及一种信息处理装置，信息处理方法和程序，其能够以少量功耗累积足够的运动历史数据。 相似度搜索单元从存储在过去历史DB中的搜索数据中搜索类似于由位置传感器单元获取并具有时间序列位置数据的即时移动历史的过去路线。 适应度确定单元确定由相似性搜索单元搜索的过去路线的适合度和即时移动历史是否为预定阈值以上。 传感器控制单元根据适应度判定单元的确定结果控制位置传感器单元的位置数据的采集间隔。 本公开的技术可应用于例如获取位置数据并预测预测路线的预测装置。

公开(公告)号：US20130197890A1

公开(公告)日：2013-08-01

申请号：US13878920

申请日：2011-11-07

申请人： Naoki Ide ,  Masato Ito ,  Kohtaro Sabe

发明人： Naoki Ide ,  Masato Ito ,  Kohtaro Sabe

IPC分类号： G06F17/50

CPC分类号： G06F17/5009 ,  G01C21/3484 ,  G01C21/3617 ,  G01S5/0009 ,  G06F17/18 ,  G06F17/50 ,  G06N99/005 ,  G08G1/0129

摘要： The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction. With estimation of state node series, an observation probability less contribution of data than actual data is employed regarding interpolated data. The present invention may be applied to a data processing device configured to predict a destination from movement history data, for example.

摘要翻译： 数据处理装置，数据处理方法和程序技术领域本发明涉及即使在实时获取的当前位置数据存在间隙的情况下也能进行预测的数据处理装置，数据处理方法和程序。 学习主处理器23表示作为用于学习的数据的运动历史数据，作为表示用户的活动的概率模型，并且获得其参数。 预测主处理器33使用通过学习获得的概率模型来实时地获得的移动历史数据来估计用户的当前位置。 在要实时获取的移动历史数据中包含数据缺失部分的情况下，预测主处理器33通过内插处理生成其数据缺失部分，并且估计与用于预测的内插数据相对应的状态鼻序列。 通过估计状态节点序列，对于内插数据采用数据比实际数据更少的观测概率。 本发明可以应用于例如被配置为从移动历史数据预测目的地的数据处理装置。

公开(公告)号：US20110302116A1

公开(公告)日：2011-12-08

申请号：US13116940

申请日：2011-05-26

申请人： Naoki Ide ,  Masato Ito ,  Kohtaro Sabe

发明人： Naoki Ide ,  Masato Ito ,  Kohtaro Sabe

IPC分类号： G06F15/18

CPC分类号： G08G1/096844 ,  G01C21/3484 ,  G06N20/00

摘要： 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.

摘要翻译： 一种数据处理装置，包括学习部，其将作为学习数据获取的用户移动历史数据表示为表示用户的活动并学习模型的参数的概率模型; 目的地和中途停留估计部，其从所述概率模型的状态节点估计目的地节点和中途停止节点; 当前位置估计部分，其输入概率模型中的用户移动历史数据，并估计与当前用户的当前位置相当的当前位置节点; 搜索部，其使用关于所估计的目的地节点和中继节点以及当前位置节点的信息和通过学习获得的概率模型来搜索从用户的当前位置到目的地的路线; 以及计算部分，其计算到所搜索到的目的地的到达概率和必要时间。