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    • 12. 发明授权
    • Extracting key frame candidates from video clip
    • 从视频剪辑中提取关键帧候选
    • US07889794B2
    • 2011-02-15
    • US11346708
    • 2006-02-03
    • Jiebo LuoChristophe E. Papin
    • Jiebo LuoChristophe E. Papin
    • H04N3/36H04N5/14
    • G11B27/28G06F17/30811G06F17/30843G11B27/105
    • A method of analyzing a digital video clip to determine candidate frames for subsequent key frame selection, includes: performing a global motion estimate on the video clip that indicates translation of a scene or camera, or scaling of the scene; and forming a plurality of video segments based on the global motion estimate and labeling each segment in accordance with a predetermined series of camera motion classes. The method further includes extracting key frame candidates from the labeled segments and computing a confidence score for each candidate by using rules corresponding to each camera motion class and a rule corresponding to object motion. An important feature of the invention is that the rules corresponding to camera motion include extracting a candidate frame for a pan segment with a confidence score related to a translation amount during the pan, and not extracting candidate frames for object motion based frames for fast pan and zoom segments, and the rule corresponding to object motion includes extracting a candidate frame for a fixed segment with a confidence score related to the segment length.
    • 一种分析数字视频剪辑以确定用于后续关键帧选择的候选帧的方法包括:对指示场景或相机的翻译或场景的缩放的视频剪辑执行全局运动估计; 以及基于全局运动估计形成多个视频片段,并根据预定的一系列相机运动类别对每个片段进行标记。 该方法还包括从标记的片段提取关键帧候选,并通过使用与每个相机运动类别相对应的规则和对应于对象运动的规则来计算每个候选者的置信度分数。 本发明的一个重要特征是与摄像机运动相对应的规则包括在平移期间提取与平移量相关的置信度分数的平移段的候选帧,而不提取用于快盘的基于对象运动的帧的候选帧, 缩放片段,并且与物体运动对应的规则包括以与片段长度相关的置信度得分为固定片段提取候选帧。