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    Automatic extraction method of the structure of a video sequence
    33.
    发明授权
    Automatic extraction method of the structure of a video sequence 失效
    视频序列结构的自动提取方法

    公开(公告)号：US06842197B1

    公开(公告)日：2005-01-11

    申请号：US09610712

    申请日：2000-07-06

    Applicant: Joan Llach-Pinsach ,  Philippe Salembier

    Inventor： Joan Llach-Pinsach ,  Philippe Salembier

    IPC: H04N5/91 ,  G06F17/30 ,  G06K9/00 ,  G11B27/28 ,  H04N5/14 ,  G06K9/62

    CPC classification number: G06K9/00711 ,  G06F17/30811 ,  G06F17/30858 ,  G11B27/28 ,  H04N5/147

    Abstract: The invention relates to a method intended to automatically create a description of a video sequence—i.e. its table of contents—by analyzing the video sequence. First is a temporal segmentation of the video shots of the sequence, using camera motion parameters. This segmentation uses a similarity criterion involving, for sub-entities of each shot, the level of homogeneity of these sub-entities on the motion parameters of the camera used to acquire the original images and generate the bitstream constituting the processed sequence.

    Abstract translation: 本发明涉及一种旨在自动创建视频序列的描述的方法，即， 其目录 - 通过分析视频序列。 首先是使用相机运动参数对序列的视频镜头进行时间分割。 该分割使用相似性标准，对于每个拍摄的子实体，涉及用于获取原始图像的相机的运动参数上的这些子实体的均匀性的水平，并且生成构成经处理的序列的比特流。

    Zone-based tone mapping
    37.
    发明授权
    Zone-based tone mapping 有权
    基于区域的色调映射

    公开(公告)号：US09087382B2

    公开(公告)日：2015-07-21

    申请号：US13381224

    申请日：2010-06-29

    Applicant: Jiefu Zhai ,  Joan Llach

    Inventor： Jiefu Zhai ,  Joan Llach

    IPC: G09G5/02 ,  G06T5/00

    CPC classification number: G06T5/008 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20208

    Abstract: A method of tone mapping high dynamic range images for display on low dynamic range displays wherein a high dynamic range image is first accessed. The high dynamic range image is segmented into different regions such that each region is represented by a matrix, where each element of the matrix is a weight or probability of a pixel. An exposure of each region is determined or calculated and the exposure values are applied to the regions responsive to the weight or probability. The different regions are then fused together to obtain a final tone mapped image.

    Abstract translation: 一种色调映射高动态范围图像的方法，用于在低动态范围显示器上显示，其中首先访问高动态范围图像。 高动态范围图像被分割成不同的区域，使得每个区域由矩阵表示，其中矩阵的每个元素是像素的权重或概率。 确定或计算每个区域的曝光，并且将曝光值应用于响应于重量或概率的区域。 然后将不同的区域融合在一起以获得最终的色调映射图像。

    Video matting based on foreground-background constraint propagation
    38.
    发明授权
    Video matting based on foreground-background constraint propagation 有权
    基于前景背景约束传播的视频消隐

    公开(公告)号：US08611728B2

    公开(公告)日：2013-12-17

    申请号：US13138384

    申请日：2010-01-05

    Applicant: Sitaram Bhagavathy ,  Joan Llach

    Inventor： Sitaram Bhagavathy ,  Joan Llach

    IPC: H04N5/93 ,  H04N9/80 ,  G11B27/00 ,  G06K9/34 ,  G06K9/00 ,  G06K9/74 ,  G06G5/00

    CPC classification number: G06T7/254 ,  G06T7/174 ,  G06T2207/10016 ,  G06T2207/20092 ,  G06T2207/20096

    Abstract: A method for propagating user-provided foreground-background constraint information for a first video frame to subsequent frames allows extraction of moving foreground objects with minimal user interaction. Video matting is performed wherein constraints derived from user input with respect to a first frame are propagated to subsequent frames using the estimated alpha matte of each frame. The matte of a frame is processed in order to arrive at a rough foreground-background segmentation which is then used for estimating the matte of the next frame. At each frame, the propagated constraints are used by an image matting method for estimating the corresponding matte which is in turn used for propagating the constraints to the next frame, and so on.

    Abstract translation: 用于将第一视频帧的用户提供的前景 - 背景约束信息传播到后续帧的方法允许以最小的用户交互提取移动的前景对象。 执行视频消隐，其中从相对于第一帧的用户输入导出的约束使用每帧的估计的α遮罩传播到后续帧。 处理帧的哑光以便获得粗糙的前景 - 背景分割，然后将其用于估计下一帧的无光泽。 在每个帧处，通过图像消隐方法使用传播的约束来估计相应的无光泽，其依次用于将约束传播到下一帧，等等。

    Automatic parameter estimation for adaptive pixel-based filtering
    39.
    发明授权
    Automatic parameter estimation for adaptive pixel-based filtering 有权

    公开(公告)号：US08467626B2

    公开(公告)日：2013-06-18

    申请号：US12311452

    申请日：2007-06-25

    Applicant: Sitaram Bhagavathy ,  Joan Llach

    Inventor： Sitaram Bhagavathy ,  Joan Llach

    IPC: G06K9/40 ,  G06K9/20

    CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10016 ,  G06T2207/20182

    Abstract: One particular automatic parameter estimation method and apparatus estimates low level filtering parameters from one or more user controlled high-level filtering parameters. The high level filtering parameters are strength and quality, where strength indicates how much noise reduction will be performed, and quality indicates a tolerance which controls the balance between filtering uniformity and loss of detail. The low level filtering parameters that can be estimated include the spatial neighborhood and/or temporal neighborhood size from which pixel candidates are selected, and thresholds used to verify the “goodness” of the spatially or temporally predicted candidate pixels. More generally, a criterion for filtering digital image data is accessed, and a value is determined for a parameter for use in filtering digital image data, the value being determined based on whether the value results in the criterion being satisfied for at least a portion of a digital image.

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