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公开(公告)号：US09509903B2
公开(公告)日：2016-11-29
申请号：US14558027
申请日：2014-12-02
Applicant: Sony Corporation
Inventor： Masaya Kinoshita , Yutaka Yoneda , Takashi Kameya
CPC classification number: H04N5/23222 , G03B15/00 , G06K9/00771 , H04N5/232
Abstract: An image processing apparatus, method and non-transitory computer program storage device cooperate to process successive images. Respective frames are created and positioned within the successive images, where each frame has a border. When changes between the frame borders are detected, a controller triggers the capturing of an image. This approach results in the capturing of interesting moments, even if the subject is not a human subject. The change in frame boundaries may be categorized in a variety of ways, including change in aspect ratio, shape, orientation, and position, for example. By detecting the changes in this way, an imaging device can capture images of interesting events automatically.
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2.发明申请公开(公告)号：US20150168811A1
公开(公告)日：2015-06-18
申请号：US14558027
申请日：2014-12-02
Applicant: Sony Corporation
Inventor： Masaya KINOSHITA , Yutaka Yoneda , Takashi Kameya
CPC classification number: H04N5/23222 , G03B15/00 , G06K9/00771 , H04N5/232
Abstract: An image processing apparatus, method and non-transitory computer program storage device cooperate to process successive images. Respective frames are created and positioned within the successive images, where each frame has a border. When changes between the frame borders are detected, a controller triggers the capturing of an image. This approach results in the capturing of interesting moments, even if the subject is not a human subject. The change in frame boundaries may be categorized in a variety of ways, including change in aspect ratio, shape, orientation, and position, for example. By detecting the changes in this way, an imaging device can capture images of interesting events automatically
Abstract translation: 图像处理装置，方法和非暂时性计算机程序存储装置协作来处理连续的图像。 创建相应的帧并定位在连续图像中，其中每个帧具有边界。 当检测到帧边界之间的变化时，控制器触发图像的捕获。 这种方法导致捕获有趣的时刻，即使主题不是人类主体。 帧边界的变化可以以各种方式分类，例如，包括纵横比，形状，方向和位置的变化。 通过以这种方式检测变化，成像设备可以自动捕获有趣事件的图像
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