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    • 3. 发明申请
    • Video Processing System, Video Processing Method, Video Processing Device for Mobile Terminal or Server and Control Method and Control Program Thereof
    • 视频处理系统,视频处理方法,移动终端或服务器的视频处理设备及其控制方法和控制程序
    • US20140376815A1
    • 2014-12-25
    • US14362561
    • 2012-12-04
    • Toshiyuki NomuraAkio YamadaKota IwamotoRyota Mase
    • Toshiyuki NomuraAkio YamadaKota IwamotoRyota Mase
    • G06K9/00G06K9/62
    • G06K9/00744G06F17/30784G06K9/4604G06K9/6232
    • The present invention is to notify a recognition result with respect to a recognition object in a video in real time while maintaining recognition accuracy. A recognition object and m-number of first local characteristic quantities which are respectively 1-dimensional to i-dimensional characteristic vectors are stored in association with each other, and n-number of second local characteristic quantities which are respectively 1-dimensional to j-dimensional characteristic vectors are generated for n-number of local areas respectively including n-number of characteristic points from an image in a video. In addition, a smaller dimension is selected from the dimension i and the dimension j, a recognition that the recognition object exists in an image in the video is made when it is determined that a prescribed proportion or more of the m-number of first local characteristic quantities which are characteristic vectors up to the selected number of dimensions correspond to the n-number of second local characteristic quantities which are characteristic vectors up to the selected number of dimensions, and information representing the recognition object is displayed in superposition on an image in which the recognition object exists in the video.
    • 本发明是在保持识别准确性的同时实时地通知视频中的识别对象的识别结果。 相互关联地存储分别为1维到i维特征向量的识别对象和m个第一局部特征量,并且分别分别为1维到j维的n个第二局部特征量, 对于n个局部区域分别包括来自视频中的图像的n个特征点生成三维特征向量。 另外,从尺寸i和尺寸j选择较小的尺寸,当确定在视频中的图像中存在识别对象的确认是在确定第m个第一局部的规定比例或更多 作为选定维数的特征向量的特征量对应于作为选定维数的特征向量的n个第二局部特征量,表示识别对象的信息被叠加显示在图像上 识别对象存在于视频中。
    • 4. 发明授权
    • Content reproduction control system and method and program thereof
    • 内容再现控制系统及其方法和程序
    • US08913873B2
    • 2014-12-16
    • US13001398
    • 2009-06-22
    • Kota IwamotoRyoma OamiYuzo SendaTakahiro KimotoTakami SatoYasufumi Hirakawa
    • Kota IwamotoRyoma OamiYuzo SendaTakahiro KimotoTakami SatoYasufumi Hirakawa
    • H04N9/80H04N5/93H04N5/76G11B27/034G11B27/28H04N21/432H04N19/30H04N21/44G11B27/32
    • G11B27/28G11B27/034G11B27/329H04N5/76H04N19/15H04N19/30H04N21/4325H04N21/44008
    • Provided is a content reproduction control system equipped with: a signal characterizing quantity sequence extraction means that, for each content item stored in a content group storage unit that stores at least more than one content item, extracts a signal characterizing quantity sequence which is the sequence of the signal characterizing quantities associated with the content positions on the time axis; a common section group detection means that detects, as a common section group in the signal characterizing quantity sequence for each content item, a common section group for which the signal characterizing quantities for different content items are similar to each other; a content reproduction quality information collection means that, for each common section group, collects content reproduction quality information which indicates the reproduction quality of the content to which each common section of a common section group belongs; and a content reproduction control means that, when the content contained in the content group storage unit is reproduced, switches the content reproduced for the content to be reproduced for the sections included in the common section group and performs reproduction such that the reproduction quality of the content will be higher, based on the content reproduction quality information for the content to which each common section of a common section group belongs.
    • 提供一种内容再现控制系统,其具备:信号特征量序列提取装置,对于存储在存储至少多于一个内容项目的内容组存储单元中的每个内容项目,提取作为所述序列的信号表征量序列 与时间轴上的内容位置相关联的信号表征量; 公共部分组检测装置,检测用于每个内容项目的信号特征量序列中的公共部分组,用于不同内容项目的信号特征量彼此相似的公共部分组; 内容再现质量信息收集意味着,对于每个公共部分组,收集指示公共部分组的每个公共部分所属的内容的再现质量的内容再现质量信息; 并且内容再现控制装置,当再现包含在内容组存储单元中的内容时,切换为包含在共同部分组中的部分将被再现的内容再现的内容,并进行再现,使得再现 基于公共部分组的每个公共部分所属的内容的内容再现质量信息,内容将更高。
    • 5. 发明授权
    • Image identity scale calculation stystem
    • 图像身份比例计算系统
    • US08897566B2
    • 2014-11-25
    • US13061618
    • 2009-07-14
    • Kota IwamotoRyoma Oami
    • Kota IwamotoRyoma Oami
    • G06K9/46H04N19/124G06F17/30H04N19/17G06K9/38H04N19/14G06K9/62
    • G06F17/30247G06F17/30256G06K9/38G06K9/6215H04N19/124H04N19/126H04N19/137H04N19/14H04N19/17
    • This image identity scale calculation system can calculate an identity scale representing a degree of identity of two images in consideration of identification capability and robustness. An image feature comparison unit is supplied with hierarchical quantization index codes, which are encodings allowing unique specification of quantization indexes of a plurality of hierarchies calculated by hierarchical quantization for each quantization target region of the two images, and selects a quantization index set used for comparison as a comparing quantization index set based on additionally supplied information in accordance with a previously defined hierarchical quantization method. Then, the image feature comparison unit compares the hierarchical quantization index codes of the two images by using the comparing quantization index set, and calculates an identity scale of the two images.
    • 考虑到识别能力和鲁棒性,该图像身份比例计算系统可以计算出表示两个图像的身份的身份比例。 图像特征比较单元被提供有分级量化索引代码,它们是允许对两个图像的每个量化目标区域的分层量化计算的多个层次的量化索引的唯一指定的编码,并且选择用于比较的量化索引集 作为基于根据先前定义的分层量化方法的附加提供的信息的比较量化索引集合。 然后,图像特征比较单元通过使用比较量化索引集合比较两个图像的分层量化索引码,并计算两个图像的身份比例。
    • 6. 发明授权
    • Feature selection device
    • 特征选择装置
    • US08620087B2
    • 2013-12-31
    • US13056767
    • 2010-01-19
    • Kota IwamotoRyoma Oami
    • Kota IwamotoRyoma Oami
    • G06K9/46G06K9/62
    • G06K9/623
    • The feature selection device includes a feature extraction unit that extracts M types of features from each of a plurality of original images and each of a plurality of altered images obtained by applying an alteration process to the plurality of original images; and a feature selection unit that handles an original image and an altered image of the original image as identical images and handles altered images of the same original image as identical images, while handles other images as different images, and with use of discrimination capability which is a degree of discriminating different images and robustness which is a degree that a value of a feature does not vary due to the alteration process applied to an image as evaluation criteria, evaluates the M types of features extracted from the respective images, and selects a collection of N types of features, the N types being smaller in number than that of the M types, from the M types of features as features for discriminating images.
    • 特征选择装置包括特征提取单元,其从多个原始图像中的每一个提取M种特征,并且通过对多个原始图像应用改变处理而获得的多个改变图像中的每一个; 以及特征选择单元,其处理原始图像和原始图像的改变图像作为相同图像,并处理与相同图像相同的原始图像的改变图像,同时处理其他图像作为不同图像,并且使用区分能力 识别不同图像和鲁棒性的程度,其特征的值由于应用于图像的改变过程而不会改变作为评估标准,评估从各个图像提取的M种类型的特征,并且选择集合 的N种特征,N类型的数量比M类型的数量少,从M种类型的特征作为区分图像的特征。