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    • 4. 发明授权
    • Cadence editing
    • Cadence编辑
    • US06542199B1
    • 2003-04-01
    • US09643084
    • 2000-08-21
    • Kevin ManbeckChengda YangDonald GemanStuart Geman
    • Kevin ManbeckChengda YangDonald GemanStuart Geman
    • H04N701
    • H04N7/0112G11B27/031
    • A method for reordering an edited digital video sequence composed of digital video fields from multiple sources is disclosed. When the digital video sequence is reordered temporal cadence is provided which will allow for the conversion to a digital film format through a reverse 3:2 pulldown. Let Fold=(F1old,F2old, . . . ,FNold) be the given edited sequence of video fields. In one embodiment, the method calculates an instruction set which is then used to transform Fold into a new sequence of video fields, denoted Fnew, where most of the fields in Fnew come from Fold and the remaining fields are “upconverted” fields from Fold. This reconstitution of Fold is obtained by optimizing a set of instructions based on various constraints which express the characteristics of the pattern AaBbBcCdDd. By assigning a cost to each violation of the constraints, and to each disruption of the natural flow of time, and to other undesirable properties, a real-valued function is constructed. This real valued function can then be optimized through dynamic programming.
    • 公开了一种用于对由多个源的数字视频场组成的编辑数字视频序列进行重排序的方法。 当数字视频序列被重新排序时,提供了时间节奏,这将允许通过反向3:2下拉转换成数字电影格式。 让Fold =(F1old,F2old,...,FNold)是给定的编辑的视频字段序列。 在一个实施例中,该方法计算一个指令集,该指令集然后用于将折叠变换成新的视频字段序列,表示为Fnew,其中Fnew中的大多数字段来自折叠,其余字段是从“折叠”的“上变频”字段。 通过基于表达图案AaBbBcCdDd的特征的各种约束优化一组指令来获得Fold的这种重建。 通过为每个约束的违规分配成本,以及对自然时间流的每个中断以及其他不期望的属性,构建了实值函数。 然后可以通过动态规划来优化此实值函数。
    • 6. 发明申请
    • CAPTURING EVENT INFORMATION USING A DIGITAL VIDEO CAMERA
    • 使用数字视频摄像机捕获事件信息
    • US20090238542A1
    • 2009-09-24
    • US12050811
    • 2008-03-18
    • Matthew AdilettaChengda Yang
    • Matthew AdilettaChengda Yang
    • H04N5/00
    • H04N5/145G08B13/19606G08B13/19663G08B13/19682H04N5/77H04N5/782H04N7/181H04N7/188
    • An event aware video system (EAVS) is to capture video frames during a first time period and process event portion of the video frames before transferring the processed data to a central computing system. The EAVS may establish a present no-event frame from the video frames, wherein a last frame of the video frames is marked as the present no-event frame if the difference between adjacent pair of frames of the video frames is less than a threshold value. The EVAS may establish an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame captured prior to the present frame is greater than the threshold value. The EAVS may generate the processed data by processing the event of the event frame.
    • 事件感知视频系统(EAVS)是在将处理后的数据传送到中央计算系统之前,在第一时间段内捕获视频帧和视频帧的处理事件部分。 EAVS可以建立来自视频帧的当前无事件帧,其中如果视频帧的相邻帧对之间的差小于阈值,则视频帧的最后一帧被标记为当前无事件帧 。 EVAS可以建立事件帧,其中如果当前帧与在当前帧之前捕获的先前帧之间的差异大于阈值,则在建立无事件帧之后捕获的当前帧被标记为事件帧。 EAVS可以通过处理事件帧的事件来生成处理的数据。
    • 9. 发明授权
    • Estimating motion of an event captured using a digital video camera
    • 估计使用数码摄像机拍摄的事件的运动
    • US09256789B2
    • 2016-02-09
    • US12053328
    • 2008-03-21
    • Matthew J. AdilettaChengda Yang
    • Matthew J. AdilettaChengda Yang
    • G06K9/00G06T5/50G06T7/20G08B13/196H04N7/18
    • G06K9/00771G06K2009/00738G06T5/50G06T7/254G06T2207/10016G06T2207/10024G06T2207/20076G06T2207/30232G08B13/19608H04N7/188
    • An event aware video system (EAVS) is to capture video frames during a first time period and process events in the video frames before transferring the processed data to a central computing system. The EAVS may establish a present no-event frame from the video frames by marking the last frame as the present no-event frame if the difference between adjacent pair of video frames is less than a threshold value. The EAVS may establish an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame is greater than the threshold value. The EAVS may provide event information including motion vectors to a central computing system by performing one-dimensional search on a moving object of the event frame, wherein the motion vectors may represent displacement of objects moving within the moving object.
    • 事件感知视频系统(EAVS)是在第一时间段内捕获视频帧,并且在将处理后的数据传送到中央计算系统之前,在视频帧中处理事件。 如果相邻视频帧对之间的差小于阈值,则EAVS可以通过将最后一帧标记为当前无事件帧来从视频帧建立当前无事件帧。 EAVS可以建立事件帧,其中如果当前帧和先前帧之间的差大于阈值,则在建立无事件帧之后捕获的当前帧被标记为事件帧。 EAVS可以通过对事件帧的移动对象执行一维搜索来向中央计算系统提供包括运动向量的事件信息,其中运动矢量可以表示在运动对象内移动的对象的位移。
    • 10. 发明授权
    • Estimating motion of an event captured using a digital video camera
    • 估计使用数码摄像机拍摄的事件的运动
    • US09251423B2
    • 2016-02-02
    • US12053319
    • 2008-03-21
    • Matthew J. AdilettaChengda Yang
    • Matthew J. AdilettaChengda Yang
    • G06K9/00G06T5/50G06T7/20H04N7/18G08B13/196
    • G06K9/00771G06K2009/00738G06T5/50G06T7/246G06T2207/10016G06T2207/30232G08B13/19608H04N7/188
    • An event aware video system (EAVS) is to capture video frames during a first time period and process events in the video frames before transferring the processed data to a central computing system. The EAVS may establish a no-event frame by marking a last frame as the no-event frame if the difference between adjacent pair of video frames is less than a threshold value. The EVAS may mark a present frame captured after establishing the no-event frame as the event frame if the difference between the present and a previous frame is greater than the threshold value. The EAVS may provide event information to the central computing system by performing temporal blending, which includes linearly combining the movement of objects within the moving object in adjacent event frames to generate blurred images. The difference between the blurred images may represent displacement of objects moving within the moving object.
    • 事件感知视频系统(EAVS)是在第一时间段内捕获视频帧,并且在将处理的数据传送到中央计算系统之前,在视频帧中处理事件。 如果相邻视频帧对之间的差小于阈值,EAVS可以通过将最后一帧标记为无事件帧来建立无事件帧。 如果当前帧和前一帧之间的差大于阈值,则EVAS可以将建立无事件帧之后捕获的当前帧标记为事件帧。 EAVS可以通过执行时间混合来向中央计算系统提供事件信息,其包括在相邻事件帧中线性组合移动对象内的对象的移动以产生模糊图像。 模糊图像之间的差异可以表示在移动物体内移动的物体的位移。