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    • 1. 发明授权
    • Video field labeling
    • 视频字段标签
    • US06624844B1
    • 2003-09-23
    • US09643309
    • 2000-08-21
    • Kevin ManbeckChengda YangDonald GemanStuart Geman
    • Kevin ManbeckChengda YangDonald GemanStuart Geman
    • H04N718
    • H04N7/0112G06F17/3028G06F17/30781G06K9/00711G06K9/6297G11B27/031G11B27/28
    • A method for determining labels for video fields by identifying the state of the field is disclosed. Some examples of a video field's state include the origin of the field as film or video, its relative location with respect to edit points, and in the case of film-originating material, the location within the standard sequential pattern which results from converting film to video. To determine the label of a video field, the conditional probability distribution for a particular sequence of states given the entire video sequence is calculated. This may be optimized by using dynamic programing to maximize the conditional probability function and thus the labels. To determine the conditional probability, first the joint probability distribution is determined for the observed video fields and the states. This joint probability is calculated by creating a data model and a structure model for the video sequence. From the joint probability distribution an equation representing the conditional probability of having a particular sequence of states given a particular video field is determined. By maximizing this distribution over all states, which may be performed through dynamic programming the most likely state is determined which is consistent with the given video sequence data. Once the states are determined, labels corresponding to the states may be inserted within the video sequence.
    • 公开了通过识别场的状态来确定视频场的标签的方法。 视频场的状态的一些示例包括作为电影或视频的场的起源,其相对于编辑点的相对位置,以及在电影来源材料的情况下,标准顺序图案中的位置由转换成电影到 视频。 为了确定视频场的标签,计算给定整个视频序列的特定状态序列的条件概率分布。 这可以通过使用动态编程来最大化条件概率函数和因此的标签来优化。 为了确定条件概率,首先确定观察到的视频场和状态的联合概率分布。 通过创建视频序列的数据模型和结构模型来计算该联合概率。 从联合概率分布中,确定表示给定特定视频场的特定状态序列的条件概率的方程式。 通过最大化这种可以通过动态编程执行的状态的这种分布,确定与给定的视频序列数据一致的最可能的状态。 一旦状态被确定,与状态对应的标签可以插入在视频序列内。
    • 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。
    • 7. 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。
    • 10. 发明授权
    • Capturing event information using a digital video camera
    • 使用数码摄像机捕获事件信息
    • US09241094B2
    • 2016-01-19
    • US12050811
    • 2008-03-18
    • Matthew AdilettaChengda Yang
    • Matthew AdilettaChengda Yang
    • H04N5/782H04N5/14G08B13/196H04N5/77H04N7/18
    • 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 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 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 。 EAVS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。