STATIONARY CAMERA DETECTION AND VIRTUAL TRIPOD TRANSITION FOR VIDEO STABILIZATION
    1.
    发明申请
    STATIONARY CAMERA DETECTION AND VIRTUAL TRIPOD TRANSITION FOR VIDEO STABILIZATION 审中-公开
    静态摄像机检测和虚拟三维转换视频稳定

    公开(公告)号:WO2013184379A1

    公开(公告)日:2013-12-12

    申请号:PCT/US2013/042427

    申请日:2013-05-23

    Applicant: APPLE INC.

    CPC classification number: H04N5/23248

    Abstract: An apparatus, method, and computer-readable medium for motion sensor-based video stabilization. A motion sensor may capture motion data of a video sequence. A controller may compute instantaneous motion of the camera for a current frame of the video sequence and accumulated motion of the camera corresponding to motion of a plurality of frames of the video sequence. The controller may compare the instantaneous motion to a first threshold value, compare the accumulated motion to a second threshold value, and set a video stabilization strength parameter for the current frame based on the results of the comparison. A video stabilization unit may perform video stabilization on the current frame according to the frame's strength parameter.

    Abstract translation: 一种用于基于运动传感器的视频稳定的装置,方法和计算机可读介质。 运动传感器可以捕获视频序列的运动数据。 控制器可以计算摄像机对视频序列的当前帧的瞬时运动以及对应于视频序列的多个帧的运动的照相机的累积运动。 控制器可以将瞬时运动与第一阈值进行比较,将累积运动与第二阈值进行比较,并且基于比较结果为当前帧设置视频稳定强度参数。 视频稳定单元可以根据帧的强度参数在当前帧上执行视频稳定。

    TIME-LAPSE VIDEO CAPTURE WITH OPTIMAL IMAGE STABILIZATION
    2.
    发明申请
    TIME-LAPSE VIDEO CAPTURE WITH OPTIMAL IMAGE STABILIZATION 审中-公开
    具有最佳图像稳定性的时间偏移视频捕获

    公开(公告)号:WO2016054182A1

    公开(公告)日:2016-04-07

    申请号:PCT/US2015/053182

    申请日:2015-09-30

    Applicant: APPLE INC.

    Abstract: Traditionally, time-lapse videos are constructed from images captured at time intervals called "temporal points of interests" or "temporal POIs." Disclosed herein are systems and methods of constructing improved, motion-stabilized time-lapse videos using temporal points of interest and image similarity comparisons. According to some embodiments, a "burst" of images may be captured, centered around the aforementioned temporal points of interest. Then, each burst sequence of images may be analyzed, e.g., by performing an image similarity comparison between each image in the burst sequence and the image selected at the previous temporal point of interest. Selecting the image from a given burst that is most similar to the previous selected image, while minimizing the amount of motion with the previous selected image, allows the system to improve the quality of the resultant time-lapse video by discarding "outlier" or other undesirable images captured in the burst sequence and motion stabilizing the selected image.

    Abstract translation: 传统上,延时视频是从被称为“时间兴趣点”或“时间POI”的时间间隔拍摄的图像构建的。 本文公开了使用时间兴趣点和图像相似性比较来构建改进的,运动稳定的延时视频的系统和方法。 根据一些实施例,可以以上述时间感兴趣点为中心捕获图像的“突发”。 然后,可以例如通过在突发序列中的每个图像和在先前的时间点选择的图像之间执行图像相似性比较来分析图像的每个突发序列。 选择与先前选择的图像最相似的给定脉冲串中的图像,同时使用先前选择的图像最小化运动量,允许系统通过丢弃“异常值”或其他信号来提高合成的延时视频的质量 在突发序列中捕获的不期望的图像和稳定所选择的图像的运动。

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