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    • 91. 发明授权
    • Methods and systems for video retargeting using motion saliency
    • 使用运动显着性进行视频重新定位的方法和系统
    • US09167221B2
    • 2015-10-20
    • US14058411
    • 2013-10-21
    • Google Inc.
    • Matthias GrundmannVivek Kwatra
    • H04N5/93G11B27/00H04N9/80H04N9/87H04N21/2187H04N21/234H04N21/2343H04N21/854H04N9/64H04N5/14H04N5/225H04N21/4728
    • H04N9/87H04N5/145H04N5/225H04N21/2187H04N21/23418H04N21/234345H04N21/4728H04N21/854
    • Methods and systems for video retargeting and view selection using motion saliency are described. Salient features in multiple videos may be extracted. Each video may be retargeted by modifying the video to preserve the salient features. A crop path may be estimated and applied to a video to retarget each video and generate a modified video preserving the salient features. An action score may be assigned to portions or frames of each modified video to represent motion content in the modified video. Selecting a view from one of the given modified videos may be formulated as an optimization subject to constraints. An objective function for the optimization may include maximizing the action score. This optimization may also be subject to constraints to take into consideration optimal transitioning from a view from a given video to another view from another given video, for example.
    • 描述了使用运动显着的视频重定向和视图选择的方法和系统。 可以提取多个视频中的显着特征。 可以通过修改视频来重定向每个视频以保持显着特征。 可以估计裁剪路径并将其应用于视频以重新定位每个视频,并生成保留显着特征的修改的视频。 可以将动作得分分配给每个经修改的视频的部分或帧以表示经修改的视频中的运动内容。 从给定的修改的视频之一选择视图可以被制定为受约束的优化。 优化的目标函数可以包括最大化动作得分。 例如,这种优化也可能受到约束,以考虑从给定视频的视图到另一给定视频的另一视图的最佳转换。