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    3:2 Pull-down detection
    2.
    发明授权
    3:2 Pull-down detection 有权
    3：2下拉检测

    公开(公告)号：US07203238B2

    公开(公告)日：2007-04-10

    申请号：US10014974

    申请日：2001-12-11

    申请人： Ming-Chang Liu ,  Wei-Jen Li ,  Ikuo Tsukagoshi

    发明人： Ming-Chang Liu ,  Wei-Jen Li ,  Ikuo Tsukagoshi

    IPC分类号： H04N7/12

    CPC分类号： H04N5/147 ,  H04N5/145 ,  H04N7/0112 ,  H04N19/114 ,  H04N19/142 ,  H04N19/177 ,  H04N19/179 ,  H04N19/51 ,  H04N19/61 ,  H04N19/87

    摘要： In one embodiment, a 3:2 pull-down detection component of a video encoder uses motion vectors to determine whether a repeated field exists in a video sequence. The 3:2 pull-down detection component uses field motion vectors determined by a motion estimator and compares the field motion vectors to a threshold to determine whether a repeated field exists. If a repeated field exists, a video encoder can then eliminate the repeated field.

    摘要翻译： 在一个实施例中，视频编码器的3：2下拉检测组件使用运动矢量来确定视频序列中是否存在重复的场。 3：2下拉检测组件使用由运动估计器确定的场运动矢量，并将场运动矢量与阈值进行比较，以确定是否存在重复场。 如果存在重复的场，则视频编码器可以消除重复的场。

    Method and apparatus for stain separation using vector analysis
    4.
    发明授权
    Method and apparatus for stain separation using vector analysis 有权
    使用向量分析进行染色分离的方法和装置

    公开(公告)号：US09036889B2

    公开(公告)日：2015-05-19

    申请号：US13549019

    申请日：2012-07-13

    申请人： Ming-Chang Liu ,  Ximin Zhang

    发明人： Ming-Chang Liu ,  Ximin Zhang

    IPC分类号： G06K9/00 ,  G06T7/00 ,  G06T7/40

    CPC分类号： G06T7/0081 ,  G06T7/11 ,  G06T7/168 ,  G06T7/90 ,  G06T2207/10056 ,  G06T2207/20048 ,  G06T2207/30024

    摘要： A computer-implemented method and apparatus for stain separation of a pathology image using stain vector analysis comprising converting an original image into an optical domain image, performing stain vector analysis on the optical domain image to obtain one or more stain vectors, deconvoluting the vectors adaptively to produce one or more separated stain images.

    摘要翻译： 一种用于使用染色载体分析对病理图像进行染色分离的计算机实现的方法和装置，包括将原始图像转换为光域图像，对光域图像执行染色矢量分析以获得一个或多个染色载体，自适应地卷积载体 以产生一个或多个分离的污点图像。

    System and method for effectively performing a scene representation procedure
    5.
    发明授权
    System and method for effectively performing a scene representation procedure 有权
    用于有效执行场景表示过程的系统和方法

    公开(公告)号：US08873833B2

    公开(公告)日：2014-10-28

    申请号：US13398948

    申请日：2012-02-17

    申请人： Liangyin Yu ,  Ming-Chang Liu ,  Ximin Zhang

    发明人： Liangyin Yu ,  Ming-Chang Liu ,  Ximin Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00718 ,  G06K9/469

    摘要： A system for performing a scene representation procedure includes an image manager that processes source images from a given scene to define subscenes in the source images. The image manager creates an image understanding graph for each of the source images, and also creates a scene representation graph for each of the source images based upon the corresponding subscenes and certain image characteristics. The image manager further generates an integrated scene representation to represent all of the source images with a single representation. A processor of an electronic device controls the image manager to perform the scene representation procedure.

    摘要翻译： 用于执行场景表示过程的系统包括图像管理器，其处理来自给定场景的源图像以在源图像中定义子信号。 图像管理器为每个源图像创建图像理解图，并且还基于相应的子像素和某些图像特征为每个源图像创建场景表示图。 图像管理器进一步生成集成的场景表示以用单个表示来表示所有源图像。 电子设备的处理器控制图像管理器执行场景表示过程。

    Region description and modeling for image subscene recognition
    6.
    发明授权
    Region description and modeling for image subscene recognition 有权
    图像二次识别的区域描述和建模

    公开(公告)号：US08705866B2

    公开(公告)日：2014-04-22

    申请号：US12962647

    申请日：2010-12-07

    申请人： Ximin Zhang ,  Ming-Chang Liu

    发明人： Ximin Zhang ,  Ming-Chang Liu

    IPC分类号： G06K9/46 ,  G06K9/62 ,  G06K9/00 ,  G06K9/48

    CPC分类号： G06K9/4652 ,  G06K9/00684 ,  G06K9/6221

    摘要： A method and apparatus is described here that categorizes images by extracting regions and describing the regions with a 16-dimensional subscene feature vector, which is a concatenation of color, texture, and spatial feature vectors. By comparing the spatial feature vectors in images with similarly-obtained feature vectors in a Gaussian mixture based model pool (obtained in a subscene modeling phase), the images may be categorized (in a subscene recognition phase) with probabilities relating to each region or subscene. Higher probabilities are likelier correlations. The device may be a single or multiple core CPU, or parallelized vector processor for characterizing many images. The images may be photographs, videos, or video stills, without restriction. When used real-time, the method may be used for visual searching or sorting.

    摘要翻译： 这里描述了一种方法和装置，其通过提取区域并且用具有颜色，纹理和空间特征向量的级联的16维子像素特征向量来描述区域来对图像进行分类。 通过将图像中的空间特征向量与基于高斯混合的模型池（在亚型建模阶段中获得）中的类似获得的特征向量进行比较，可以将图像分类（在子序列识别阶段），其具有与每个区域或子网相关的概率 。 更高的概率是可能的相关性。 该设备可以是用于表征许多图像的单个或多个核心CPU或并行化矢量处理器。 图像可以是照片，视频或视频静止图像，没有限制。 当实时使用时，该方法可用于视觉搜索或排序。

    System and method for “Bokeh-Aji” shot detection and region of interest isolation
    7.
    发明授权
    System and method for “Bokeh-Aji” shot detection and region of interest isolation 有权
    散景 - Aji镜头检测和感兴趣区域分离的系统和方法

    公开(公告)号：US08346005B2

    公开(公告)日：2013-01-01

    申请号：US12566445

    申请日：2009-09-24

    申请人： Ximin Zhang ,  Ming-Chang Liu

    发明人： Ximin Zhang ,  Ming-Chang Liu

    IPC分类号： G06K9/40

    CPC分类号： G06K9/3233 ,  G06T7/0004 ,  G06T2207/20021 ,  G06T2207/30168

    摘要： A “Bokeh-Aji” image is one in which the region of interest is in focus and the background is out of focus. Detection of “Bokeh-Aji” type images and then isolation to the region of interest area in a low complexity way without any human intervention is beneficial. A set of tools for performing this task include SAD and high pass filtering based in-focus/out-of-focus area separation, in-focus/out-of-focus block distribution based “Bokeh-Aji” shot detection and region of interest isolation. By effectively integrating these tools together, the “Bokeh-Aji” images are successfully identified, and the region of interest area is successfully isolated.

    摘要翻译： 散景 - 阿奇图像是感兴趣的区域在焦点中并且背景偏离焦点的图像。 检测散景 - Aji型图像，然后以低复杂度方式分离到感兴趣区域，而无需人为干预是有益的。 用于执行此任务的一组工具包括基于焦点/离焦区域分离的SAD和高通滤波，基于焦点/焦点外块分布的Bokeh-Aji镜头检测和感兴趣区域隔离。 通过有效地将这些工具集成在一起，成功地识别了Bokeh-Aji图像，并且成功地隔离了感兴趣区域。

    Color and intensity based meaningful object of interest detection
    8.
    发明授权
    Color and intensity based meaningful object of interest detection 有权
    基于颜色和强度的有意义的检测对象

    公开(公告)号：US08331684B2

    公开(公告)日：2012-12-11

    申请号：US12723438

    申请日：2010-03-12

    申请人： Ximin Zhang ,  Ming-Chang Liu

    发明人： Ximin Zhang ,  Ming-Chang Liu

    IPC分类号： G06K9/46

    CPC分类号： G06K9/00664 ,  G06K9/3241

    摘要： An apparatus and method for detecting “Object Portraits” (photographs or images with a stand-out object of interest or a set of stand-out objects of interest) is described. A set of tools has been developed for object of interest detection, including “Sunset-like” scene detection, pseudo-color saturation-based detection and object of interest isolation, block intensity based detection and object of interest isolation. By effectively integrating these tools together, the “Object Portrait” images and “Non-Object Portrait” images are successfully identified. Meaningful object of interest areas are thereby successfully isolated in a low complexity manner without human intervention.

    摘要翻译： 描述了用于检测对象肖像（具有引人注目的对象的感兴趣的对象或一组待排除的对象的照片或图像）的装置和方法。 已经开发了一组工具，用于感兴趣的检测对象，包括日落式场景检测，基于伪彩色饱和度检测和感兴趣对象隔离，基于块强度检测和感兴趣对象隔离。 通过有效地将这些工具集成在一起，成功识别对象肖像图像和非对象肖像图像。 因此，有意义的利益领域的对象在没有人为干预的情况下以低复杂度方式被成功隔离。

    Color effects for compressed digital video
    9.
    发明授权
    Color effects for compressed digital video 有权
    压缩数字视频的色彩效果

    公开(公告)号：US08233709B2

    公开(公告)日：2012-07-31

    申请号：US12399214

    申请日：2009-03-06

    申请人： Mark A. Robertson ,  Ming-Chang Liu

    发明人： Mark A. Robertson ,  Ming-Chang Liu

    IPC分类号： G06K9/36

    CPC分类号： G06T11/001 ,  H04N19/159 ,  H04N19/176 ,  H04N19/18 ,  H04N19/196 ,  H04N19/40 ,  H04N19/61 ,  H04N19/85

    摘要： Implementing color effects in compressed digital video is improved upon by re-using the original video's compression parameters during the re-encoding stage, such that the parameters do not need to be re-estimated by the encoder. This improved method reduces complexity and also improves quality. Quality is improved due to re-use of the compression parameters since accumulated error which is common when re-encoding compressed video is prevented. For digital negatives, the effect is able to be implemented even more efficiently.

    摘要翻译： 通过在重新编码阶段重新使用原始视频的压缩参数来改进压缩数字视频中的色彩效果，使得参数不需要被编码器重新估计。 这种改进的方法降低了复杂性并提高了质量。 由于重新使用压缩参数，质量得到改善，因为防止重新编码压缩视频时常见的累积误差。 对于数字底片，效果可以更有效地实现。

    GEOMETRIC FEATURE BASED IMAGE DESCRIPTION AND FAST IMAGE RETRIEVAL
    10.
    发明申请
    GEOMETRIC FEATURE BASED IMAGE DESCRIPTION AND FAST IMAGE RETRIEVAL 有权
    基于几何特征的图像描述和快速图像检索

    公开(公告)号：US20120155752A1

    公开(公告)日：2012-06-21

    申请号：US12970806

    申请日：2010-12-16

    申请人： Ximin Zhang ,  Ming-Chang Liu

    发明人： Ximin Zhang ,  Ming-Chang Liu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/4647 ,  G06K9/4652 ,  G06K9/685

    摘要： An apparatus and method for processing pictures (images, graphics or video frames) for image representation and comparison on the basis of a geometric feature description built from histograms of pseudo-color saturation. The feature description can also include normalized centroid variance, as well as an intensity map. The descriptions allow various matching comparisons to be performed between an input image and a set of comparison images, such as to find matching (or mismatching, or other relationship) images. The comparison can be sped using staged comparisons, whereby an image failing one level of comparison need not be considered in subsequent phases. A set of efficient image feature descriptors are described for use in a fast image retrieval scheme, which is efficient for searching of images spanning different image types, rotations and scales.

    摘要翻译： 一种用于根据由伪彩色饱和度的直方图构建的几何特征描述来处理用于图像表示和比较的图像（图像，图形或视频帧）的装置和方法。 特征描述还可以包括归一化质心方差以及强度图。 这些描述允许在输入图像和一组比较图像之间执行各种匹配比较，例如找到匹配（或不匹配或其他关系）图像。 可以使用分阶段比较来比较比较，从而在后续阶段不需要考虑失败一级比较的图像。 描述了一组高效的图像特征描述符用于快速图像检索方案，其对于搜索跨越不同图像类型，旋转和尺度的图像是有效的。