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    • 1. 发明申请
    • Video data processing
    • 视频数据处理
    • US20090278937A1
    • 2009-11-12
    • US12386693
    • 2009-04-22
    • Ralf BotchenDaniel WeiskopfThomas ErtlMin Chen
    • Ralf BotchenDaniel WeiskopfThomas ErtlMin Chen
    • G06T11/20H04N5/225
    • G06T11/00G06K9/00771G06T7/20G06T2207/10016
    • An embodiment of the present invention relates to systems and methods for dynamically detecting and visualizing actions and/or events in video data streams. In one embodiment, a method involves dynamically detecting and extracting objects and attributes relating to the objects from a video data stream by using action recognition filtering for attribute detection and time series analysis for relation detection among the extracted objects. In addition, the method may involve dynamically generating a multi-field video visualization along a time axis by depicting the video data stream as a series of frames at a relatively sparse or dense interval, and by continuously rendering the attributes relating to the objects with substantially continuous abstract illustrations. Finally, a method may also involve dynamically combining detection, and extraction of objects and combining with multi-field visualization in a video perpetuo gram (VPG), which may show a video stream in parallel, and which allows for real-time display and interaction.
    • 本发明的实施例涉及用于动态地检测和可视化视频数据流中的动作和/或事件的系统和方法。 在一个实施例中,一种方法包括通过使用用于属性检测的动作识别过滤和提取的对象之间的关系检测的时间序列分析来动态地检测和提取与视频数据流相关的对象和属性。 此外,该方法可以包括通过将视频数据流描绘为相对稀疏或密集间隔的一系列帧来动态地生成沿着时间轴的多视场视频可视化,并且通过连续呈现与物体相关的属性 连续的抽象插图。 最后,一种方法还可以包括动态地组合检测和提取对象,并结合视频永久化(VPG)中的多场可视化,其可以并行地显示视频流,并且允许实时显示和交互 。