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    • 51. 发明申请
    • Image Processing System, Learning Device and Method, and Program
    • 图像处理系统,学习装置和方法以及程序
    • US20090041340A1
    • 2009-02-12
    • US11813404
    • 2005-12-26
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • G06K9/46
    • G06K9/00288G06K9/6211G06K9/623G06T7/00
    • The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section 23. Similarly, feature points are extracted from a learning-use input image containing a model object contained in the learning-use model image, feature amounts are extracted based on these feature points, and these feature amounts are compared with the feature amounts registered in a learning-use model registration section 23. A feature amount that has formed a pair the greatest number of times as a result of the comparison is registered in the model dictionary registration section 12 as the feature amount to be used in the recognition process. The present invention is applicable to a robot.
    • 本发明涉及图像处理系统,学习装置和方法以及能够容易地提取在识别处理中使用的特征量的程序。 从学习用模型图像提取特征点,基于特征点提取特征量,并且将特征量登记在学习用模型字典注册部23中。同样,从学习用途中提取特征点 基于这些特征点提取含有包含在学习用模型图像中的模型对象的输入图像,并将这些特征量与在学习用模型登记部23中登记的特征量进行比较。特征量 作为比较的结果,在模型字典登记部12中登记了作为识别处理中使用的特征量的最大次数的对。 本发明可应用于机器人。
    • 55. 发明授权
    • Image processing system, learning device and method, and program
    • 图像处理系统,学习装置和方法,程序
    • US08582887B2
    • 2013-11-12
    • US11813404
    • 2005-12-26
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • G06K9/00
    • G06K9/00288G06K9/6211G06K9/623G06T7/00
    • The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section 23. Similarly, feature points are extracted from a learning-use input image containing a model object contained in the learning-use model image, feature amounts are extracted based on these feature points, and these feature amounts are compared with the feature amounts registered in a learning-use model registration section 23. A feature amount that has formed a pair the greatest number of times as a result of the comparison is registered in the model dictionary registration section 12 as the feature amount to be used in the recognition process. The present invention is applicable to a robot.
    • 本发明涉及图像处理系统,学习装置和方法以及能够容易地提取在识别处理中使用的特征量的程序。 从学习用模型图像提取特征点,基于特征点提取特征量,并且将特征量登记在学习用模型字典注册部23中。同样,从学习用途中提取特征点 基于这些特征点提取含有包含在学习用模型图像中的模型对象的输入图像,并将这些特征量与在学习用模型登记部23中登记的特征量进行比较。特征量 作为比较的结果,在模型字典登记部12中登记了作为识别处理中使用的特征量的最大次数的对。 本发明可应用于机器人。
    • 56. 发明申请
    • Information Processing Device, Information Processing Method and Program
    • 信息处理装置,信息处理方法和程序
    • US20130163860A1
    • 2013-06-27
    • US13814170
    • 2011-08-02
    • Hirotaka SuzukiMasato Ito
    • Hirotaka SuzukiMasato Ito
    • G06K9/18
    • G06K9/00718G06F17/30796G06F17/30843G06F17/30852G06K9/18G06K2209/27
    • The present invention relates to an information processing device, an information processing method, and a program capable of easily adding an annotation to content.A feature amount extracting unit 21 extracts an image feature amount of each frame of an image of learning content and extracts word frequency information regarding frequency of appearance of each word in a description text describing a content of the image of the learning content (for example, a text of a caption) as a text feature amount of the description text. A model learning unit 22 learns an annotation model, which is a multi-stream HMM, by using an annotation sequence for annotation, which is a multi-stream including the image feature amount of each frame and the text feature amount. The present invention may be applied when adding the annotation to the content such as a television broadcast program, for example.
    • 本发明涉及一种信息处理设备,信息处理方法和能够容易地向内容添加注释的程序。 特征量提取单元21提取学习内容的图像的每帧的图像特征量,并且提取关于描述学习内容的图像的内容的描述文本中的每个单词的出现频率的词频信息(例如, 文字的文本)作为描述文本的文本特征量。 模型学习单元22通过使用注释的注释序列来学习作为多流HMM的注释模型,注释序列是包括每个帧的图像特征量和文本特征量的多流。 例如,当将注释添加到诸如电视广播节目的内容时,可以应用本发明。
    • 57. 发明授权
    • Display control device, display control method, and program
    • 显示控制装置,显示控制方式和程序
    • US08457469B2
    • 2013-06-04
    • US13000803
    • 2010-04-22
    • Hirotaka Suzuki
    • Hirotaka Suzuki
    • H04N9/80
    • G06K9/00711G11B27/105G11B27/28H04N5/765
    • The present invention relates to a display control device, a display method, and a program, whereby a new thumbnail method can be provided.A clustering unit 611 subjects each frame of a content to clustering into any cluster of a plurality of clusters, and a scene classifying unit 612 classifies, regarding each of a plurality of clusters, a frame belonging to a cluster into a scene that is a group of one or more frames that temporally continue. A thumbnail creating unit 613 creates the thumbnail of a scene, and a display control unit 614 displays the thumbnail thereof on a display device 603.
    • 显示控制装置,显示方法和程序技术领域本发明涉及一种可以提供新的缩略图方法的显示控制装置,显示方法和程序。 聚类单元611使内容的每一帧对多个聚类中的任何一个聚类进行聚类,并且场景分类单元612将属于聚类的每一个集合中的每一个分类为作为组的场景 一个或多个帧暂时继续。 缩略图创建单元613创建场景的缩略图,并且显示控制单元614将其缩略图显示在显示设备603上。
    • 58. 发明申请
    • INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
    • 信息处理设备,信息处理方法和程序
    • US20130054166A1
    • 2013-02-28
    • US13571719
    • 2012-08-10
    • Hirotaka SuzukiKenta Kawamoto
    • Hirotaka SuzukiKenta Kawamoto
    • G06F19/00G01R21/00
    • G06Q50/06H02J2003/007Y02E60/76Y04S40/22
    • In some embodiments, a system comprising a first and a second computing device is disclosed. The first computing device, comprising at least one processor, is configured to obtain, from a second computing device, data related to power consumption by at least a first electrical device located in a first region of a plurality of regions, and classify the first region, based at least in part on the obtained data, into a first group of regions of a plurality of groups of regions. The second computing device, comprising at least another processor, is configured to transmit, to the first computing device, the data related to power consumption by at least the first electrical device, and receive, from the first computing device information related to power consumption by a second electrical device located in a second region, wherein the second region is in the first group of regions.
    • 在一些实施例中,公开了包括第一和第二计算设备的系统。 包括至少一个处理器的第一计算设备被配置为从第二计算设备获得与位于多个区域的第一区域中的至少第一电气设备相关的功耗的数据,并且将第一区域 至少部分地基于所获得的数据,转换成多组区域的第一组区域。 包括至少另一个处理器的第二计算设备经配置以向至少第一电气设备向第一计算设备发送与功耗有关的数据,并且从第一计算设备接收与功率消耗相关的信息, 位于第二区域中的第二电气设备,其中所述第二区域处于所述第一组区域中。
    • 60. 发明授权
    • Robot apparatus and method of controlling the behavior thereof
    • 机器人装置及其行为控制方法
    • US08315454B2
    • 2012-11-20
    • US11224154
    • 2005-09-12
    • Fumihide TanakaHiroaki OgawaHirotaka SuzukiOsamu HanagataTsutomu SawadaMasato Ito
    • Fumihide TanakaHiroaki OgawaHirotaka SuzukiOsamu HanagataTsutomu SawadaMasato Ito
    • G06F19/00G05B19/04
    • G06N3/008
    • The present invention provides a robot apparatus that can perform appropriate actions in accordance with the ambient conditions, and a method of controlling the behavior of the robot apparatus. The robot apparatus includes a data-acquiring unit that acquires data, externally and/or internally, a subject-identifying unit that identifies a subject performing an action, by using the data externally acquired, a condition-recognizing unit that recognizes external conditions and/or internal conditions, by using the data externally acquired and/or the data internally acquired, an action-pattern acquiring unit that acquires an action pattern of the subject, by using the data externally acquired, a storage unit that stores action data representing the action of the subject, in association with condition data and subject identification data, the condition data representing conditions external and/or internal of the robot apparatus, and the subject identification data identifying the subject, and an action-performing unit that performs actions, wherein the action-performing unit performs an action represented by the action data stored in the storage unit, in accordance with the identification data and the external and/or internal condition data, when the subject-identifying unit identifies the subject.
    • 本发明提供一种能够根据环境条件执行适当动作的机器人装置,以及控制机器人装置的动作的方法。 机器人装置包括数据获取单元,其通过使用外部获取的数据来获取识别执行动作的对象的对象识别单元的外部和/或内部的数据,识别外部条件的条件识别单元和/ 或内部条件,通过使用外部获取的数据和/或内部获取的数据,动作模式获取单元,通过使用外部获取的数据来获取对象的动作模式;存储单元,存储表示动作的动作数据 与条件数据和对象识别数据相关联的条件数据表示机器人装置的外部和/或内部的条件以及标识对象的对象识别数据,以及执行动作的动作执行单元,其中, 动作执行单元根据识别符执行由存储在存储单元中的动作数据表示的动作 阳性数据和外部和/或内部条件数据,当主体识别单元识别对象时。