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    • 1. 发明授权
    • Data processing device for automatically classifying a plurality of images into predetermined categories
    • 用于将多个图像自动分类为预定类别的数据处理装置
    • US08583647B2
    • 2013-11-12
    • US13146253
    • 2010-12-24
    • Ryouichi KawanishiTsutomu UenoyamaAkira Ishida
    • Ryouichi KawanishiTsutomu UenoyamaAkira Ishida
    • G06F17/30
    • G06K9/00664G06F17/30256G06K9/4676
    • A data processing device provides a result of categorization that is satisfactory to a user. The data processing device: stores model data pieces indicating detection counts of feature amounts; judges, for each target data piece, whether the target data piece is a non-categorization data piece including an uncategorizable object, using the model data pieces and the detection count of each of at least two feature amounts detected in the target data piece; when two or more of the target data pieces are judged to be non-categorization data pieces, specifies at least two feature amounts that are included and detected the same number of times, in a predetermined number or more of the non-categorization data pieces; and newly creates a model data piece based on the at least two specified feature amounts, using a class creation method, and stores the model data piece into the storage unit.
    • 数据处理设备提供对用户令人满意的分类结果。 数据处理装置:存储表示特征量的检测计数的模型数据; 对于每个目标数据片段,使用所述模型数据片段和所述目标数据片段中检测到的至少两个特征量中的每一个的检测计数来判断所述目标数据片段是否是包括不可分类对象的非分类数据片段; 当两个以上的目标数据被判断为非分类数据时,指定在预定数量以上的非分类数据中包含并检测相同次数的至少两个特征量; 并且使用类创建方法基于所述至少两个指定的特征量新创建模型数据块,并将模型数据块存储到存储单元中。
    • 2. 发明申请
    • DATA PROCESSING DEVICE
    • 数据处理设备
    • US20120117069A1
    • 2012-05-10
    • US13146253
    • 2010-12-24
    • Ryouichi KawanishiTsutomu UenoyamaAkira Ishida
    • Ryouichi KawanishiTsutomu UenoyamaAkira Ishida
    • G06F17/30
    • G06K9/00664G06F17/30256G06K9/4676
    • The present invention aims to provide a data processing device that provides a result of categorization that is satisfactory to a user, even when user data includes an object specific to the user. The data processing device stores therein model data pieces each indicating detection counts of feature amounts; judges, for each target data piece, whether the target data piece is a non-categorization data piece including an uncategorizable object, using the model data pieces and the detection count of each of at least two feature amounts detected in the target data piece; when, as a result of the judgment, two or more of the target data pieces are judged to be non-categorization data pieces, specifies at least two feature amounts that are each included, and detected the same number of times, in a predetermined number or more of the non-categorization data pieces, and newly creates a model data piece based on the at least two feature amounts that have been specified, using a class creation method, and stores the model data piece into the storage unit.
    • 本发明的目的在于提供一种数据处理装置,即使在用户数据包括用户特有的对象的情况下,也能够提供用户满意的分类结果。 数据处理装置存储各自表示特征量的检测计数的模型数据; 对于每个目标数据片段,使用所述模型数据片段和所述目标数据片段中检测到的至少两个特征量中的每一个的检测计数来判断目标数据片段是否是包括不可分类对象的非分类数据片段; 当作为判断的结果,判断两个或更多个目标数据片段是非分类数据片段时,以预定数量指定每个被包括并检测相同次数的至少两个特征量 或更多的非分类数据,并且使用类创建方法,基于已经指定的至少两个特征量新创建模型数据片,并将模型数据片存储到存储单元中。