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    • 11. 发明授权
    • Method and apparatus for Intra mode coding in HEVC
    • HEVC内模式编码的方法和装置
    • US09363511B2
    • 2016-06-07
    • US13810205
    • 2012-08-28
    • Ximin ZhangShan Liu
    • Ximin ZhangShan Liu
    • H04N19/50H04N19/463H04N19/593H04N19/11H04N7/32H04N7/26H04N19/61
    • H04N19/593H04N19/11H04N19/463H04N19/50H04N19/61
    • A method and apparatus for Intra prediction mode encoding or decoding based on multi-level most probable modes (MPMs) are disclosed. In one embodiment according to the present invention, the method and apparatus for encoding or decoding Intra prediction mode for 4×4 prediction unit (PU) use 19 Intra mode candidates to have full directional coverage or 35 Intra mode candidates as used by 8×8, 16×16 and 32×32 PUs. In another embodiment of the present invention, three MPMs are used to code the Intra modes. Various methods to derive the three MPMs based on the Intra modes of neighboring blocks are disclosed. In yet another embodiment of the present invention, the coding method for the remaining modes comprises fixed length coding. In addition, variable length coding for the remaining modes are also disclosed.
    • 公开了一种基于多级最可能模式(MPM)的帧内预测模式编码或解码的方法和装置。 在根据本发明的一个实施例中,用于编码或解码用于4×4预测单元(PU)的帧内预测模式的方法和装置使用19个模式内候选以具有全方位覆盖或35×8模式候选,如8×8 ,16×16和32×32 PU。 在本发明的另一实施例中,使用三个MPM来编码内部模式。 公开了基于相邻块的帧内模式导出三个MPM的各种方法。 在本发明的另一个实施例中,其余模式的编码方法包括固定长度编码。 此外,还公开了其余模式的可变长度编码。
    • 14. 发明授权
    • Region description and modeling for image subscene recognition
    • 图像二次识别的区域描述和建模
    • US08705866B2
    • 2014-04-22
    • US12962647
    • 2010-12-07
    • Ximin ZhangMing-Chang Liu
    • Ximin ZhangMing-Chang Liu
    • G06K9/46G06K9/62G06K9/00G06K9/48
    • G06K9/4652G06K9/00684G06K9/6221
    • 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.
    • 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。
    • 16. 发明授权
    • Color and intensity based meaningful object of interest detection
    • 基于颜色和强度的有意义的检测对象
    • US08331684B2
    • 2012-12-11
    • US12723438
    • 2010-03-12
    • Ximin ZhangMing-Chang Liu
    • Ximin ZhangMing-Chang Liu
    • G06K9/46
    • G06K9/00664G06K9/3241
    • 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.
    • 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。
    • 17. 发明申请
    • GEOMETRIC FEATURE BASED IMAGE DESCRIPTION AND FAST IMAGE RETRIEVAL
    • 基于几何特征的图像描述和快速图像检索
    • US20120155752A1
    • 2012-06-21
    • US12970806
    • 2010-12-16
    • Ximin ZhangMing-Chang Liu
    • Ximin ZhangMing-Chang Liu
    • G06K9/00
    • G06K9/4647G06K9/4652G06K9/685
    • 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.
    • 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。
    • 18. 发明申请
    • REGION DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION
    • 图像识别的区域描述和建模
    • US20120141019A1
    • 2012-06-07
    • US12962647
    • 2010-12-07
    • Ximin ZhangMing-Chang Liu
    • Ximin ZhangMing-Chang Liu
    • G06K9/62
    • G06K9/4652G06K9/00684G06K9/6221
    • 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.
    • 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。
    • 19. 发明授权
    • Orientation-based approach for forming a demosaiced image, and for color correcting and zooming the demosaiced image
    • 用于形成去马赛克图像的基于方向的方法,以及用于颜色校正和缩放去马赛克图像的方法
    • US08189080B2
    • 2012-05-29
    • US12418207
    • 2009-04-03
    • Gazi AliMing-Chang LiuXimin Zhang
    • Gazi AliMing-Chang LiuXimin Zhang
    • H04N3/14G06K9/00
    • H04N9/045G06T3/4015H04N2209/045
    • A method and apparatus for forming a demosaiced image from a color-filter-array (“CFA”) image is provided. The CFA image comprises a first set of pixels colored according to a first (e.g., a green) color channel, a second set of pixels colored according to a second (e.g., a red) color channel and a third set of pixels colored according to a third (e.g., blue) color channel. The method may include obtaining an orientation map, which includes, for each pixel of the color-filter-array image, an indicator of orientation of an edge bounding such pixel. The method may further include interpolating the first color channel at the second and third sets of pixels as a function of the orientation map so as to form a fourth set of pixels. The method may also include interpolating the second color channel at the first and third sets of pixels as a function of the orientation map and the fourth set of pixels; and interpolating the third color channel at the first and second sets of pixels as a function of the orientation map and the fourth set of pixels.
    • 提供了一种用于从彩色滤光片阵列(“CFA”)图像形成去马赛克图像的方法和装置。 CFA图像包括根据第一(例如,绿色)颜色通道着色的第一组像素,根据第二(例如,红色)颜色通道着色的第二组像素,以及根据第 第三(例如蓝色)彩色通道。 该方法可以包括获得方位图,其包括对于彩色滤波器阵列图像的每个像素的边界边界的方向的指示符。 该方法可以进一步包括根据取向图来插值第二和第三组像素处的第一颜色通道,以便形成第四组像素。 该方法还可以包括根据取向图和第四组像素来内插第一和第三组像素处的第二颜色通道; 以及作为所述取向图和所述第四组像素的函数,在所述第一和第二像素组处插入所述第三颜色通道。