HIERARCHICAL IMAGE CLASSIFICATION SYSTEM
    1.
    发明申请
    HIERARCHICAL IMAGE CLASSIFICATION SYSTEM 审中-公开
    分层图像分类系统

    公开(公告)号:US20140270347A1

    公开(公告)日:2014-09-18

    申请号:US13798760

    申请日:2013-03-13

    Abstract: A technique for image processing that includes receiving a model image, an input image, and registering the input image with the model image. A modified input image is determined that includes a first component that is substantially free of error components with respect to the model image and a second component that is substantially free of non-error aspects with respect to the model image. The technique determines an improved alignment of the modified input image with the model image where the improved alignment and the first and second components are determined jointly.

    Abstract translation: 一种用于图像处理的技术,包括接收模型图像,输入图像,以及使用模型图像注册输入图像。 确定修改的输入图像,其包括基本上没有相对于模型图像的误差分量的第一分量和相对于模型图像基本上没有非误差方面的第二分量。 该技术确定改进的输入图像与模型图像的改进的对准,其中改进的对准以及第一和第二分量被联合确定。

    TASK LIGHT BASED SYSTEM AND GESTURE CONTROL
    7.
    发明申请
    TASK LIGHT BASED SYSTEM AND GESTURE CONTROL 有权
    任务灯系统和姿态控制

    公开(公告)号:US20150181679A1

    公开(公告)日:2015-06-25

    申请号:US14138826

    申请日:2013-12-23

    CPC classification number: H05B37/0227

    Abstract: A system that determines the task of the viewer and/or gestures made by the user. Based upon the determined task and/or the gestures, the lighting provided to the viewer may be modified.

    Abstract translation: 确定用户做出的观看者的任务和/或手势的系统。 基于确定的任务和/或手势,可以修改提供给观看者的照明。

    SUPER RESOLUTION IMAGE ENHANCEMENT TECHNIQUE
    8.
    发明申请
    SUPER RESOLUTION IMAGE ENHANCEMENT TECHNIQUE 有权
    超分辨率图像增强技术

    公开(公告)号:US20170046816A1

    公开(公告)日:2017-02-16

    申请号:US14827030

    申请日:2015-08-14

    Abstract: A method for image enhancement may include selecting a plurality of patches of an image and determining at least one dimensionally reduced feature for each of the plurality of patches. The system may further determine a generally closest cluster from a set of clusters for each of the dimensionally reduced features and select a corresponding set of regression coefficients for each of the set of generally closest cluster. The system may also apply the selected set of regression coefficients to a corresponding patch to enhance the image.

    Abstract translation: 用于图像增强的方法可以包括选择图像的多个斑块并且确定多个斑块中的每一个的至少一个尺寸减小的特征。 该系统还可以针对尺寸减小的特征中的每一个确定来自一组聚类的通常最接近的聚类,并且为该集合中最接近的集合中的每一个选择相应的一组回归系数。 该系统还可以将所选择的一组回归系数应用于相应的补丁以增强图像。

    SYSTEM FOR ENHANCED IMAGES
    9.
    发明申请
    SYSTEM FOR ENHANCED IMAGES 审中-公开
    增强图像系统

    公开(公告)号:US20160343113A1

    公开(公告)日:2016-11-24

    申请号:US14715492

    申请日:2015-05-18

    Abstract: A system for enhancing an image includes a cadence detection process that detects a cadence of a series of frames and a scene cut detection process that detects a scene cut of the series of frames. The system also includes a noise monitoring process that detects noise in the series of frames based upon the cadence detection process. The process further includes a temporal filter temporally filtering the series of frames wherein the temporal filtering is modified based upon the scene cut detection process and the noise monitoring process. The system also includes a spatial noise reduction process reducing spatial noise in the series of frames wherein the reducing spatial noise is modified based upon the modified temporally filtered frames and the noise monitoring process.

    Abstract translation: 用于增强图像的系统包括检测一系列帧的节奏的踏频检测处理和检测该系列帧的场景切换的场景切换检测处理。 该系统还包括基于节奏检测处理来检测一系列帧中的噪声的噪声监测过程。 该过程还包括对时间滤波器的时间滤波器进行时间滤波,其中基于场景切断检测处理和噪声监测处理来修改时间滤波。 该系统还包括降低空间噪声的空间噪声降低过程,其中基于经过修改的时间滤波的帧和噪声监测过程来修改降低空间噪声的一系列帧中的空间噪声。

    SYSTEM FOR VIDEO SUPER RESOLUTION USING SEMANTIC COMPONENTS
    10.
    发明申请
    SYSTEM FOR VIDEO SUPER RESOLUTION USING SEMANTIC COMPONENTS 有权
    使用语义组件的视频超分辨率系统

    公开(公告)号:US20160253784A1

    公开(公告)日:2016-09-01

    申请号:US15154058

    申请日:2016-05-13

    Abstract: A method for increasing the resolution of a series of low resolution frames of a low resolution video sequence to a series of high resolution frames of a high resolution video sequence includes receiving the series of low resolution frames of the video sequence. The system determines a first plurality of semantically relevant key points of a first low resolution frame of the series of low resolution frames and determines a second plurality of semantically relevant key points of a second low resolution frame of the series of low resolution frames. The system temporally processes the first plurality of key points based upon the second plurality of key points to determine a more temporally consistent set of key points for the first plurality of key points.

    Abstract translation: 一种用于将低分辨率视频序列的一系列低分辨率帧的分辨率提高到高分辨率视频序列的一系列高分辨率帧的方法包括接收视频序列的一系列低分辨率帧。 所述系统确定所述一系列低分辨率帧的第一低分辨率帧的第一多个语义上相关的关键点,并且确定所述一系列低分辨率帧的第二低分辨率帧的第二多个语义上相关的关键点。 系统基于第二多个关键点在时间上处理第一多个关键点以确定第一多个关键点的更时间上一致的关键点集合。

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