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    • 1. 发明申请
    • SYSTEM AND METHOD HAVING TRANSPARENT COMPOSITE MODEL FOR TRANSFORM COEFFICIENTS
    • 具有变形系数的透明复合材料模型的系统和方法
    • US20140348438A1
    • 2014-11-27
    • US14273636
    • 2014-05-09
    • En-hui Yang
    • En-hui YangXiang YuJin MengChang Sun
    • G06T9/00
    • G06T9/00H04N19/126H04N19/136H04N19/18H04N19/625
    • To better handle the flat tail phenomenon commonly seen in transform coefficients such as DCT coefficients, a system and method having a model dubbed a transparent composite model (TCM) are described. Given a sequence of transform coefficients, a TCM first separates the tail of the sequence from the main body of the sequence. A first distribution such as a uniform, truncated Laplacian, or truncated geometric distribution can be used to model transform coefficients in the flat tail while at least one parametric distribution (e.g. truncated Laplacian, generalized Gaussian (GG), and geometric distributions) can be used to model data in the main body. A plurality of boundary values can be used to bound a plurality of distribution models. The plurality of boundary values and other parameters of the TCM can be estimated via maximum likelihood (ML) estimation or greedy estimation.
    • 为了更好地处理DCT系数等变换系数中常见的平尾现象,描述了具有被称为透明复合模型(TCM)的模型的系统和方法。 给定一系列变换系数,TCM首先将序列的尾部与序列的主体分离。 可以使用诸如均匀的,截断的拉普拉斯算子或截断几何分布的第一分布来建模平尾中的变换系数,而可以使用至少一个参数分布(例如截断拉普拉斯算子,广义高斯(GG)和几何分布)) 在主体中建模数据。 可以使用多个边界值来界定多个分布模型。 可以通过最大似然(ML)估计或贪心估计来估计TCM的多个边界值和其他参数。
    • 4. 发明授权
    • Method and encoder for constrained soft-decision quantization in data compression
    • 数据压缩中约束软判决量化的方法和编码器
    • US08675726B2
    • 2014-03-18
    • US12707729
    • 2010-02-18
    • Jinwen ZanDake HeEn-Hui Yang
    • Jinwen ZanDake HeEn-Hui Yang
    • H04N7/12H04N11/02
    • H04N19/194H04N19/126H04N19/147H04N19/18H04N19/61
    • A method of encoding a video using constrained soft-decision quantization. The soft-decision quantization includes first performing hard-decision quantization to obtain hard quantized coefficients and, then, obtaining a soft quantized coefficient using a rate-distortion calculation over a search range of quantization levels for a transform domain coefficient, wherein the search range of quantization levels for that transform domain coefficient is constrained within a number of quantization levels of a corresponding hard quantized coefficient. The search range may be based upon a fixed threshold, the coefficient position, the hard quantized coefficient magnitude, a threshold value less accumulated distortion, or other factors, including combinations of these factors. The accumulated distortion may be measured by an L1 norm.
    • 一种使用受限的软判决量化对视频进行编码的方法。 软判决量化包括首先执行硬判决量化以获得硬量化系数,然后使用在变换域系数的量化级的搜索范围上的速率失真计算来获得软量化系数,其中搜索范围 该变换域系数的量化级别被限制在对应的硬量化系数的量化级数中。 搜索范围可以基于固定阈值,系数位置,硬量化系数幅度,阈值较小累积失真或其它因素,包括这些因素的组合。 可以通过L1范数来测量累积的失真。
    • 5. 发明申请
    • METHODS AND SYSTEMS FOR AUTOMATICALLY AND EFFICIENTLY CATEGORIZING, TRANSMITTING, AND MANAGING MULTIMEDIA CONTENTS
    • 自动高效分类,传输和管理多媒体内容的方法和系统
    • US20130339362A1
    • 2013-12-19
    • US13918030
    • 2013-06-14
    • En-hui Yang
    • En-hui Yang
    • G06F17/30
    • G06F16/40G06K9/6215H04N19/625
    • Methods and systems for automatically and efficiently categorizing, securely transmitting, and managing multimedia contents generated from a network connection enabled digital data generating device by way of multimedia transcoding, compression, and/or classification. Content similarity between multimedia data units with one unit corresponding to one image, one video frame, or one audio frame is first detected and identified, and then used to help encode conditionally one unit given another. Based on the identified content similarity and/or the resulting compression efficiency, these multimedia units are automatically categorized in terms of their contents along with their locations, occasions, events, and/or features. Whenever network connections selected by a user are available, these encoded and categorized multimedia data units along with their metadata containing side information including their locations, occasions, events, features, and other information specified by the user are then automatically and securely transmitted to networks, cloud servers, and/or other network connected devices.
    • 用于通过多媒体代码转换,压缩和/或分类自动和有效地分类,安全地发送和管理由启用网络连接的数字数据产生装置产生的多媒体内容的方法和系统。 首先检测和识别与一个图像,一个视频帧或一个音频帧对应的一个单位的多媒体数据单元之间的内容相似性,然后用于帮助有条件地编码一个给定另一个单元的单元。 基于所识别的内容相似性和/或所得到的压缩效率,这些多媒体单元根据其内容及其位置,场合,事件和/或特征自动分类。 每当由用户选择的网络连接可用时,这些编码和分类的多媒体数据单元及其包含侧面信息的元数据(包括其位置,场合,事件,特征和用户指定的其他信息)然后被自动且安全地传送到网络, 云服务器和/或其他网络连接的设备。
    • 6. 发明授权
    • Method, system and computer program product for entropy constrained color splitting for palette images with pixel-wise splitting
    • 用于具有像素分割的调色板图像的熵约束色彩分割的方法,系统和计算机程序产品
    • US08503807B2
    • 2013-08-06
    • US13559854
    • 2012-07-27
    • En-hui YangLongji Wang
    • En-hui YangLongji Wang
    • G06K9/46
    • H04N1/64H04N19/103H04N19/147H04N19/182H04N19/186H04N19/19H04N19/91H04N19/94H04N19/96
    • A method, system and computer program product are provided for progressively encoding a digitized color image using a data processing system, the digitized color image being provided by assigning each of the M distinct colors to at least one pixel in the set of pixels. This involves initializing and growing the tree structure by selecting a leaf node n to become a non-leaf node n linked to two new leaf nodes based on an associated achievable cost, wherein the associated achievable cost is based on 1) a determined associated change in distortion resulting from turning the leaf node into the non-leaf node linked to the two new leaf nodes; and 2) a determined associated increase in entropy rate resulting from turning the leaf node into the non-leaf node linked to the two new leaf nodes.
    • 提供了一种方法,系统和计算机程序产品,用于使用数据处理系统逐行编码数字化彩色图像,通过将M个不同颜色中的每一个分配给该像素组中的至少一个像素来提供数字化彩色图像。 这涉及到通过基于相关的可实现成本选择叶节点n来变成链接到两个新叶节点的非叶节点n来初始化和增长树结构,其中相关联的可实现成本基于1)确定的相关联的变化 将叶节点转换为与两个新叶节点相连的非叶节点产生的失真; 和2)通过将叶节点转换为链接到两个新叶节点的非叶节点而导致的确定的熵率的相关联的增加。