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    • 9. 发明授权
    • Apparatus, method, and program for predicting user activity state through data processing
    • 用于通过数据处理预测用户活动状态的装置,方法和程序
    • US08560467B2
    • 2013-10-15
    • US12839321
    • 2010-07-19
    • Masato ItoKohtaro SabeHirotaka SuzukiJun YokonoKazumi AoyamaTakashi Hasuo
    • Masato ItoKohtaro SabeHirotaka SuzukiJun YokonoKazumi AoyamaTakashi Hasuo
    • G06F15/18
    • G06K9/00335G06K9/00664G06K9/00778
    • 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.
    • 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。
    • 10. 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
    • US20130183022A1
    • 2013-07-18
    • US13814181
    • 2011-08-02
    • Hirotaka SuzukiMasato Ito
    • Hirotaka SuzukiMasato Ito
    • H04N9/87
    • H04N9/87G06F17/30796G06F17/30843G06F17/30852G06K9/00718G06K2209/27
    • The present invention relates to an information processing device, an information processing method, and a program capable of easily adding an annotation to content and providing an application, which utilizes the annotation.A learning device 312 extracts an image feature amount of each frame of an image of learning content and extracts word frequency information regarding a frequency of appearance of each word in a description text describing a content of the image of the learning content as a text feature amount of the description text, and learns an annotation model, which is a multi-stream HMM, by using a multi-stream including the image feature amount and the text feature amount. A browsing control device 314 extracts a scene, which is a group of one or more temporally continuous frames, from target content by using the annotation model and displays representative images of the scenes so as to be arranged in chronological order. The present invention may be applied to a case of adding the annotation to the content, for example.
    • 本发明涉及一种信息处理设备,信息处理方法以及能够容易地添加注释到内容并提供应用的程序,该应用利用该注释。 学习装置312提取学习内容的图像的每帧的图像特征量,并且将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提取为文本特征量 并且通过使用包括图像特征量和文本特征量的多流来学习作为多流HMM的注释模型。 浏览控制装置314通过使用注释模型从目标内容提取作为一个或多个时间上连续的帧的一个场景,并且以时间顺序排列场景的代表性图像。 例如,本发明可以应用于将注释添加到内容的情况。