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    • 1. 发明授权
    • Method and apparatus for video coding by ABT-based just noticeable difference model
    • 基于ABT的视频编码方法和装置只是显着的差异模型
    • US08559511B2
    • 2013-10-15
    • US12750401
    • 2010-03-30
    • King Ngi NganLin MaWai-Kuen ChamYu Liu
    • King Ngi NganLin MaWai-Kuen ChamYu Liu
    • H04B1/66H04N7/12H04N11/02H04N11/04
    • H04N19/137H04N19/119H04N19/122H04N19/14H04N19/147H04N19/159H04N19/61
    • The present invention relates to method and apparatus for video coding by ABT-based just noticeable difference (JND). For building the just noticeable difference model, spatial content information (SCI) is used to represent the spatial appearance similarity between one macroblock and its sub-blocks and the motion characteristic distance (MCD) is used to represent the motion characteristics similarity between one macroblock and its sub-blocks. For intra frames, the balance strategy based on the obtained SCI of the macroblock is used to generate the ABT-based JND model. For inter frames, the balanced strategy based on the obtained SCI and MCD of the macroblock is used to generate the ABT-based JND model. Using the ABT-based JND model, the residual coefficients for each block in a frame is filtered to obtain a reduced set of residual coefficients for transmission without degradation in visual quality.
    • 本发明涉及基于ABT的仅显着差异(JND)的视频编码方法和装置。 为了构建正确的差异模型,使用空间内容信息(SCI)来表示一个宏块与其子块之间的空间外观相似度,运动特征距离(MCD)用于表示一个宏块与 其子块。 对于帧内帧,使用基于获得的宏块的SCI的平衡策略来生成基于ABT的JND模型。 对于帧间帧,使用基于获得的宏块的SCI和MCD的平衡策略来生成基于ABT的JND模型。 使用基于ABT的JND模型,对帧中的每个块的残差系数进行滤波以获得用于传输的残差系数的减少集,而不会降低视觉质量。
    • 4. 发明授权
    • Method and apparatus of de-interlacing video
    • 去隔行视频的方法和装置
    • US08165211B2
    • 2012-04-24
    • US12129891
    • 2008-05-30
    • King Ngi NganJie DongYan Huo
    • King Ngi NganJie DongYan Huo
    • H04N7/12
    • H04N19/61H04N7/012H04N7/014H04N7/0142H04N19/80
    • The presently claimed invention adaptively selects a local de-interlacing method according to information from a compressed video bitstream. According to one embodiment, successive images from a video bitstream are first reconstructed. Syntax elements, selected from a macroblock type, a macroblock partition, a motion vector, a distance from a reference frame, the existence of non-zero transform coefficients and the distribution of transform coefficients, are then extracted from this bitstream. Based on the syntax elements, a de-interlacing algorithm is decided from an algorithm set for each image region in a video frame. Algorithms in the algorithm set include motion compensation, edge-based line averaging, and line averaging. Each image region is thereby interpolated using the de-interlacing algorithm and complementary motion compensation. The complementary motion compensation de-interlaces the image region using an inverse of motion vectors extracted from a bitstream clip representing neighboring frames.
    • 目前要求保护的发明根据来自压缩视频比特流的信息自适应地选择局部去隔行方法。 根据一个实施例,首先重构来自视频位流的连续图像。 然后从该比特流中提取从宏块类型,宏块分区,运动矢量,距参考帧的距离,非零变换系数的存在和变换系数的分布中选出的语法元素。 基于语法元素,从针对视频帧中的每个图像区域的算法确定去隔行算法。 算法集中的算法包括运动补偿,基于边缘的线平均和线平均。 因此,使用去隔行算法和互补运动补偿来内插每个图像区域。 补充运动补偿使用从表示相邻帧的比特流片段提取的运动矢量的倒数来去交织图像区域。
    • 5. 发明授权
    • Real-time body segmentation system
    • 实时身体分割系统
    • US08233676B2
    • 2012-07-31
    • US12044416
    • 2008-03-07
    • King Ngi NganHongliang Li
    • King Ngi NganHongliang Li
    • G06K9/00
    • G06K9/6257G06K9/00234G06K9/00248G06K9/00369G06K9/4614
    • In a human feature recognition system that is intended to provide substantially real-time recognition of body segments, various methods and structures are provided to facilitate real-time recognition with reduced computation requirements, including a face detection module employing an active boosting procedure and a lazy boosting procedure on a hybrid cascade structure, a human body segmentation module and a boundary matting module. The hybrid cascade structure is in the form of a tree where one type of node represents a strong classifier learned from active boosting, another type of classifier is obtained by low-computation-load lazy boosting, and weak classifiers are obtained from the previous layers.
    • 在旨在提供身体部分的基本上实时识别的人类特征识别系统中,提供了各种方法和结构以便于减少计算需求的实时识别,包括使用主动增强过程和懒惰的面部检测模块 混合级联结构的增强程序,人体分割模块和边界消光模块。 混合级联结构是树的形式,其中一种类型的节点表示从主动升压学习的强分类器,另一种类型的分类器通过低计算负载延迟增强获得,并且从以前的层获得弱分类器。
    • 6. 发明申请
    • METHOD AND APPARATUS FOR RECOGNIZING AND LOCALIZING LANDMARKS FROM AN IMAGE ONTO A MAP
    • 用于识别和定位地图从地图上的图像的方法和装置
    • US20110150324A1
    • 2011-06-23
    • US12644328
    • 2009-12-22
    • King Ngi NganBangsheng Cheng
    • King Ngi NganBangsheng Cheng
    • G06K9/62
    • G06K9/00704G06K9/4671
    • Method and apparatus for recognizing landmark buildings in an image and then locating the recognized landmark buildings onto a map together with related information wherein a first database is employed to store models formed by mathematical set descriptions of landmark buildings which are learned from a set of training images of a model-learning module captured by an imaging device for each building, and a second database is employed to store the related information of each landmark building. The model of each landmark building is represented as a set of features and the geometric relationship between them by clustering the salient features extracted from a set of training images of the landmark building.
    • 用于识别图像中的地标建筑物,然后将识别的地标建筑物与相关信息一起定位到地图上的方法和装置,其中使用第一数据库来存储由一组训练图像学习的地标建筑物的数学集描述形成的模型 由每个建筑物的成像装置捕获的模型学习模块,并且使用第二数据库来存储每个地标建筑物的相关信息。 每个地标建筑的模型通过聚集从地标建筑的一组训练图像提取的显着特征来表示为一组特征及其几何关系。
    • 7. 发明授权
    • Method and apparatus for recognizing and localizing landmarks from an image onto a map
    • 用于识别和定位从地图上的图像到地图上的方法和装置
    • US08180146B2
    • 2012-05-15
    • US12644328
    • 2009-12-22
    • King Ngi NganBangsheng Cheng
    • King Ngi NganBangsheng Cheng
    • G06K9/62
    • G06K9/00704G06K9/4671
    • Method and apparatus for recognizing landmark buildings in an image and then locating the recognized landmark buildings onto a map together with related information wherein a first database is employed to store models formed by mathematical set descriptions of landmark buildings which are learned from a set of training images of a model-learning module captured by an imaging device for each building, and a second database is employed to store the related information of each landmark building. The model of each landmark building is represented as a set of features and the geometric relationship between them by clustering the salient features extracted from a set of training images of the landmark building.
    • 用于识别图像中的地标建筑物,然后将识别的地标建筑物与相关信息一起定位到地图上的方法和装置,其中使用第一数据库来存储由一组训练图像学习的地标建筑物的数学集描述形成的模型 由每个建筑物的成像装置捕获的模型学习模块,并且使用第二数据库来存储每个地标建筑物的相关信息。 每个地标建筑的模型通过聚集从地标建筑的一组训练图像提取的显着特征来表示为一组特征及其几何关系。
    • 10. 发明授权
    • Parametric interpolation filter for motion-compensated prediction
    • 用于运动补偿预测的参数插值滤波器
    • US08548065B2
    • 2013-10-01
    • US12899768
    • 2010-10-07
    • King Ngi NganJie Dong
    • King Ngi NganJie Dong
    • H04N7/18
    • H04N19/59H04N19/117H04N19/196H04N19/46H04N19/463H04N19/523
    • In a motion compensated prediction process, a parametric interpolation filter (PIF) device is provided that takes into account the time-variant statistics of video sources, the filter being represented by a model determined by five parameters instead of by individual coefficients. The parameters are calculated and coded on a frame-by-frame basis to minimize the energy of the prediction error for each frame. The model design is based on the fact that high frequency energy of an HD video source is mainly distributed along the vertical and horizontal directions of a frame. A PIF device with the method according to the invention overcomes this obstacle because it represents each filter using only five parameters, all of which are encoded using sufficiently high precision without substantially increasing overhead.
    • 在运动补偿预测过程中,提供了考虑视频源的时变统计的参数内插滤波器(PIF)设备,该滤波器由由五个参数而不是由各个系数确定的模型表示。 在逐帧的基础上计算和编码参数以最小化每帧的预测误差的能量。 模型设计基于以下事实:HD视频源的高频能量主要沿着帧的垂直和水平方向分布。 具有根据本发明的方法的PIF设备克服了这个障碍,因为它仅使用五个参数来表示每个滤波器,所有这些参数都使用足够高的精度进行编码,而不会大大增加开销。