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    • 7. 发明授权
    • Synchronizing multiple hierarchal data structures
    • 同步多层次数据结构
    • US08301994B1
    • 2012-10-30
    • US12209871
    • 2008-09-12
    • Abhishek ShahAnuj Dhawan
    • Abhishek ShahAnuj Dhawan
    • G06F17/00
    • G06F17/30575
    • Synchronization between multiple data repositories is described which retrieves tree structures that represent the hierarchical organization of the data repositories that will be or are synchronized. One of tree structures is parsed for data nodes, while the other tree structures are parsed for each such data node to find matching data nodes having corresponding hierarchies. Moved nodes are identified when a matching node is found that does not have the same hierarchy in its tree structure. Similarly, deleted nodes are identified when a node is found with no match in a controlling tree structure. Data structure lists are compiled noting matching relationships and hierarchies and also noting moved and deleted nodes and their relationships with the rest of the formerly corresponding nodes. Using these data structure lists, a synchronization interface is generated for display to a user that visually compares the synchronization of the multiple data repositories.
    • 描述了多个数据存储库之间的同步,其检索表示将被或同步的数据存储库的层次组织的树结构。 为数据节点解析树结构之一,而为每个这样的数据节点分析其他树结构,以找到具有相应层次结构的匹配数据节点。 当找到在其树结构中不具有相同层次结构的匹配节点时,识别移动的节点。 类似地,当在控制树结构中找到没有匹配的节点时,识别已删除的节点。 编制数据结构列表,注意到匹配的关系和层次结构,并注意到移动和删除的节点及其与以前对应的节点的其余部分的关系。 使用这些数据结构列表,生成一个同步接口,用于显示给可视化地比较多个数据存储库的同步的用户。
    • 8. 发明授权
    • Methods and apparatus for measuring image stability in a video
    • 用于测量视频中的图像稳定性的方法和装置
    • US08254629B1
    • 2012-08-28
    • US12198303
    • 2008-08-26
    • Anuj Dhawan
    • Anuj Dhawan
    • G06K9/00
    • H04N5/144H04N5/147H04N5/23254
    • A system identifies a change in a position of an object from a first frame to a second frame from a plurality of frames. The video is comprised of a plurality of frames. In one embodiment, the plurality is at least three frames. The image stability measuring process identifies a change in direction of the change in the position of the object. The change in direction is determined by utilizing a plurality of adjacent frames located near the first frame and the second frame. The image stability measuring process determines an image stability value for a subset of the plurality of frames. The image stability value is calculated based on the change in direction. The image stability measuring process renders a portion of the video within an automatic editing script. The portion of the video is selected based on a preferred image stability value identified within the automatic editing script.
    • 系统从多个帧识别对象从第一帧到第二帧的位置的变化。 视频由多个帧组成。 在一个实施例中,多个是至少三个帧。 图像稳定性测量处理识别对象位置变化的方向的变化。 通过利用位于第一帧和第二帧附近的多个相邻帧来确定方向的改变。 图像稳定性测量处理确定多个帧的子集的图像稳定性值。 基于方向的变化计算图像稳定性值。 图像稳定性测量过程将视频的一部分呈现在自动编辑脚本内。 基于在自动编辑脚本中识别的优选图像稳定性值来选择视频的该部分。
    • 9. 发明授权
    • Systems and methods of tracking objects in video
    • 在视频中跟踪对象的系统和方法
    • US08249299B1
    • 2012-08-21
    • US12542120
    • 2009-08-17
    • Anuj DhawanAbhinav DarbariRamesh P B
    • Anuj DhawanAbhinav DarbariRamesh P B
    • G06K9/00H04N5/225
    • G06T7/246G06T2207/30196G06T2207/30241
    • Systems and methods for identifying, tracking, and using objects in a video or similar electronic content, including methods for tracking one or more moving objects in a video. This can involve tracking one or more feature points within a video scene and separating those feature points into multiple layers based on motion paths. Each such motion layer can be further divided into different clusters, for example, based on distances between points. These clusters can then be used as an estimate to define the boundaries of the objects in video. Objects can also be compared with one another in cases in which identified objects should be combined and considered a single object. For example, if two objects in the first two frames have significantly overlapping areas, they may be considered the same object. Objects in each frame can further be compared to determine the life of the objects across the frames.
    • 用于识别,跟踪和使用视频或类似电子内容中的对象的系统和方法,包括用于跟踪视频中的一个或多个移动对象的方法。 这可以涉及跟踪视频场景内的一个或多个特征点,并且基于运动路径将这些特征点分成多个层。 每个这样的运动层可以被进一步分成不同的簇,例如基于点之间的距离。 然后可以将这些集群用作估计来定义视频中对象的边界。 在识别的对象应该被组合并被认为是单个对象的情况下,对象也可以相互比较。 例如,如果前两个帧中的两个对象具有显着重叠的区域,则它们可以被认为是相同的对象。 可以进一步比较每个帧中的对象以确定跨帧的对象的寿命。
    • 10. 发明授权
    • Systems and methods of tracking objects in video
    • 在视频中跟踪对象的系统和方法
    • US08620029B2
    • 2013-12-31
    • US13555870
    • 2012-07-23
    • Anuj DhawanAbhinav DarbariRamesh P. B.
    • Anuj DhawanAbhinav DarbariRamesh P. B.
    • G06K9/00H04N5/225
    • G06T7/246G06T2207/30196G06T2207/30241
    • Systems and methods for identifying, tracking, and using objects in a video or similar electronic content, including methods for tracking one or more moving objects in a video. This can involve tracking one or more feature points within a video scene and separating those feature points into multiple layers based on motion paths. Each such motion layer can be further divided into different clusters, for example, based on distances between points. These clusters can then be used as an estimate to define the boundaries of the objects in video. Objects can also be compared with one another in cases in which identified objects should be combined and considered a single object. For example, if two objects in the first two frames have significantly overlapping areas, they may be considered the same object. Objects in each frame can further be compared to determine the life of the objects across the frames.
    • 用于识别,跟踪和使用视频或类似电子内容中的对象的系统和方法,包括用于跟踪视频中的一个或多个移动对象的方法。 这可以涉及跟踪视频场景内的一个或多个特征点,并且基于运动路径将这些特征点分成多个层。 每个这样的运动层可以被进一步分成不同的簇,例如基于点之间的距离。 然后可以将这些集群用作估计来定义视频中对象的边界。 在识别的对象应该被组合并被认为是单个对象的情况下,对象也可以相互比较。 例如,如果前两个帧中的两个对象具有显着重叠的区域,则它们可以被认为是相同的对象。 可以进一步比较每个帧中的对象以确定跨帧的对象的寿命。