会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 21. 发明申请
    • IMAGE CLASSIFICATION
    • 图像分类
    • US20120141020A1
    • 2012-06-07
    • US13371719
    • 2012-02-13
    • Gang HuaPaul Viola
    • Gang HuaPaul Viola
    • G06K9/62
    • G06F17/3025G06F17/30262G06K9/00664G06K9/4642G06K9/4652G06K9/6256G06K9/6285
    • Images are classified as photos (e.g., natural photographs) or graphics (e.g., cartoons, synthetically generated images), such that when searched (online) with a filter, an image database returns images corresponding to the filter criteria (e.g., either photos or graphics will be returned). A set of image statistics pertaining to various visual cues (e.g., color, texture, shape) are identified in classifying the images. These image statistics, combined with pre-tagged image metadata defining an image as either a graphic or a photo, may be used to train a boosting decision tree. The trained boosting decision tree may be used to classify additional images as graphics or photos based on image statistics determined for the additional images.
    • 图像被分类为照片(例如,自然照片)或图形(例如,漫画,综合生成的图像)​​,使得当用过滤器搜索(在线)时,图像数据库返回与过滤标准相对应的图像(例如,照片或 图形将被返回)。 在对图像进行分类时,识别关于各种视觉提示(例如,颜色,纹理,形状)的一组图像统计信息。 这些图像统计信息与将图像定义为图形或照片的预先标记的图像元数据可以用于训练增强决策树。 经训练的增强决策树可以用于基于为附加图像确定的图像统计来将附加图像分类为图形或照片。
    • 22. 发明申请
    • RECOGNITION OF FACES USING PRIOR BEHAVIOR
    • 使用先前的行为识别物质
    • US20110142299A1
    • 2011-06-16
    • US12637494
    • 2009-12-14
    • Amir AkbarzadehGang Hua
    • Amir AkbarzadehGang Hua
    • G06K9/00
    • G06K9/00288G06K9/00677G06K9/6212
    • Face recognition may be performed using a combination of visual analysis and social context. In one example, a web site such as a social networking site or photo-sharing site allows users to upload photos, and allows faces that appear in the photo to be tagged with users' names. When user A uploads a new photo, two analyses may be performed. First, a face in the photo is compared with known faces of users to determine similarity. Second, it is determined which other users user A frequently uploads photos of. Two probability distributions are created. One distribution assigns high probabilities to users whose photos are similar to the new photo. The other assigns high probabilities to users who frequently appear in photos uploaded by user A. These probability distributions are combined, and the person in the photo is identified as being the person with the highest probability.
    • 可以使用视觉分析和社会语境的组合来执行面部识别。 在一个示例中,诸如社交网站或照片共享网站的网站允许用户上传照片,并且允许照片中出现的脸部被用户的姓名标记。 当用户A上传新照片时,可能会执行两次分析。 首先,将照片中的脸部与用户的已知脸部进行比较,以确定相似性。 其次,确定哪些其他用户A经常上传照片。 创建两个概率分布。 一个分配对于照片类似于新照片的用户分配高概率。 另一方则将频繁出现在用户A上传的照片中的用户分配给高概率。这些概率分布相结合,照片中的人被识别为具有最高概率的人。
    • 24. 发明授权
    • Segmentation of objects by minimizing global-local variational energy
    • 通过最小化全局局部变分能量来分割对象
    • US07706610B2
    • 2010-04-27
    • US11291309
    • 2005-11-29
    • Zhengyou ZhangZicheng LiuGang Hua
    • Zhengyou ZhangZicheng LiuGang Hua
    • G06K9/34G06K9/46G06K9/66G06K9/48
    • G06K9/38G06K9/6226G06T7/11G06T7/143G06T7/149G06T2207/20116
    • An “Image Segmenter” provides a variational energy formulation for segmentation of natural objects from images. In general, the Image Segmenter operates by adopting Gaussian mixture models (GMM) to capture the appearance variation of objects in one or more images. A global image data likelihood potential is then computed and combined with local region potentials to obtain a robust and accurate estimation of pixel foreground and background distributions. Iterative minimization of a “global-local energy function” is then accomplished by evolution of a foreground/background boundary curve by level set, and estimation of a foreground/background model by fixed-point iteration, termed “quasi-semi-supervised EM.” In various embodiments, this process is further improved by providing general object shape information for use in rectifying objects segmented from the image.
    • “图像分割器”提供了用于从图像中分割自然对象的变分能量公式。 通常,图像分割器通过采用高斯混合模型(GMM)来捕获一个或多个图像中的对象的外观变化来操作。 然后计算全局图像数据可能性电位并与局部区域电位组合以获得对像素前景和背景分布的鲁棒且准确的估计。 “全局局部能量函数”的迭代最小化通过水平集演化前景/背景边界曲线,并通过称为“准半监督EM”的定点迭代估计前景/背景模型来实现。 “在各种实施例中,通过提供用于整流从图像分割的对象的一般对象形状信息来进一步改进该过程。
    • 25. 发明申请
    • IMAGE CLASSIFICATION
    • 图像分类
    • US20090252413A1
    • 2009-10-08
    • US12098026
    • 2008-04-04
    • Gang HuaPaul Viola
    • Gang HuaPaul Viola
    • G06K9/00G06K9/62
    • G06F17/3025G06F17/30262G06K9/00664G06K9/4642G06K9/4652G06K9/6256G06K9/6285
    • Images are classified as photos (e.g., natural photographs) or graphics (e.g., cartoons, synthetically generated images), such that when searched (online) with a filter, an image database returns images corresponding to the filter criteria (e.g., either photos or graphics will be returned). A set of image statistics pertaining to various visual cues (e.g., color, texture, shape) are identified in classifying the images. These image statistics, combined with pre-tagged image metadata defining an image as either a graphic or a photo, may be used to train a boosting decision tree. The trained boosting decision tree may be used to classify additional images as graphics or photos based on image statistics determined for the additional images.
    • 图像被分类为照片(例如,自然照片)或图形(例如,漫画,综合生成的图像)​​,使得当用过滤器搜索(在线)时,图像数据库返回与过滤标准相对应的图像(例如,照片或 图形将被返回)。 在对图像进行分类时,识别关于各种视觉提示(例如,颜色,纹理,形状)的一组图像统计信息。 这些图像统计信息与将图像定义为图形或照片的预先标记的图像元数据可以用于训练增强决策树。 经训练的增强决策树可以用于基于为附加图像确定的图像统计来将附加图像分类为图形或照片。
    • 26. 发明申请
    • RECOVERING PARAMETERS FROM A SUB-OPTIMAL IMAGE
    • 从子最佳图像恢复参数
    • US20080279423A1
    • 2008-11-13
    • US11747695
    • 2007-05-11
    • Zhengyou ZhangZicheng LiuGang HuaYang Wang
    • Zhengyou ZhangZicheng LiuGang HuaYang Wang
    • G06K9/00
    • G06K9/00268G06K9/4661G06T7/11G06T2207/30201
    • A subregion-based image parameter recovery system and method for recovering image parameters from a single image containing a face taken under sub-optimal illumination conditions. The recovered image parameters (including albedo, illumination, and face geometry) can be used to generate face images under a new lighting environment. The method includes dividing the face in the image into numerous smaller regions, generating an albedo morphable model for each region, and using a Markov Random Fields (MRF)-based framework to model the spatial dependence between neighboring regions. Different types of regions are defined, including saturated, shadow, regular, and occluded regions. Each pixel in the image is classified and assigned to a region based on intensity, and then weighted based on its classification. The method decouples the texture from the geometry and illumination models, and then generates an objective function that is iteratively solved using an energy minimization technique to recover the image parameters.
    • 一种基于子区域的图像参数恢复系统和方法,用于从包含在次优照明条件下拍摄的面部的单个图像恢复图像参数。 恢复的图像参数(包括反照率,照明和脸部几何)可用于在新的照明环境下生成脸部图像。 该方法包括将图像中的脸部划分成许多较小的区域,为每个区域生成反照变形模型,并使用基于马尔科夫随机场(MRF)的框架来模拟相邻区域之间的空间依赖关系。 定义不同类型的区域,包括饱和,阴影,常规和遮挡区域。 将图像中的每个像素分类并分配给基于强度的区域,然后基于其分类进行加权。 该方法将纹理与几何和照明模型分离,然后生成使用能量最小化技术迭代求解以恢复图像参数的目标函数。
    • 27. 发明申请
    • SPATIAL SPARSITY INDUCED TEMPORAL PREDICTION FOR VIDEO COMPRESSION
    • 空间分辨率诱导视频压缩的时间预测
    • US20080101709A1
    • 2008-05-01
    • US11929420
    • 2007-10-30
    • Onur GuleryuzGang Hua
    • Onur GuleryuzGang Hua
    • H04N7/50
    • H04N19/583H04N19/105H04N19/117H04N19/137H04N19/18H04N19/196H04N19/197H04N19/46H04N19/48H04N19/51H04N19/61H04N19/82
    • A method and apparatus are disclosed herein for spatial sparsity induced temporal prediction. In one embodiment, the method comprises: performing motion compensation to generate a first motion compensated prediction using a first block from a previously coded frame; generating a second motion compensated prediction for a second block to be coded from the first motion compensated prediction using a plurality of predictions in the spatial domain, including generating each of the plurality of predictions by generating block transform coefficients for the first block using a transform, generating predicted transform coefficients of the second block to be coded using the block transform coefficients, and performing an inverse transform on the predicted transform coefficients to create the second motion compensated prediction in the pixel domain; subtracting the second motion compensated prediction from a block in a current frame to produce a residual frame; and coding the residual frame.
    • 本文公开了一种用于空间稀疏引起的时间预测的方法和装置。 在一个实施例中,该方法包括:使用来自先前编码的帧的第一块来执行运动补偿以产生第一运动补偿预测; 使用所述空间域中的多个预测从所述第一运动补偿预测生成要编码的第二块的第二运动补偿预测,包括通过使用变换生成所述第一块的块变换系数来生成所述多个预测中的每一个, 使用所述块变换系数生成要编码的所述第二块的预测变换系数,对所述预测变换系数进行逆变换,以生成所述像素域中的所述第二运动补偿预测; 从当前帧中的块中减去第二运动补偿预测以产生残余帧; 并对残余帧进行编码。
    • 28. 发明申请
    • Peptides for inhibiting insects
    • 用于抑制昆虫的肽
    • US20050283857A1
    • 2005-12-22
    • US11040472
    • 2005-01-21
    • Michael AdangGang HuaJiang ChenMohd Amir Abdullah
    • Michael AdangGang HuaJiang ChenMohd Amir Abdullah
    • A01N37/18A01N63/02C07K14/435C07K14/705C12N15/82
    • C12N15/8286A01N63/02C07K14/705Y02A40/162A01N2300/00
    • The subject invention pertains to the use of peptide fragments of cadherins (including cadherin-like proteins). The subject invention includes a cell (and use thereof) comprising a polynucleotide that expresses the peptide fragment. The subject invention includes methods of feeding the peptides to insects. In preferred embodiments, the peptides are fed to target insects together with one or more insecticidal proteins, preferably (but not limited to) B.t. Cry proteins. When used in this manner, the peptide fragment can not only enhance the apparent toxin activity of the Cry protein against the insect species that was the source of the receptor but also against other insect species. Preferably, the cadherin is a Bacillus thuringiensis (B.t.) insecticidal crystal protein (Cry) toxin receptor. Preferably, the peptide fragment is a binding domain of the receptor. In some preferred embodiments, the peptide is the binding domain nearest to the membrane proximal ectodomain. Corresponding domains are identifiable in a variety of B.t. toxin receptors.
    • 本发明涉及钙粘蛋白(包括钙粘蛋白样蛋白)的肽片段的用途。 本发明包括含有表达肽片段的多核苷酸的细胞(及其用途)。 本发明包括将肽喂入昆虫的方法。 在优选的实施方案中,将肽与一种或多种杀虫蛋白一起进食至靶昆虫,优选(但不限于)B.t. 哭泣蛋白质 当以这种方式使用时,肽片段不仅可以增强Cry蛋白对作为受体来源的昆虫物种的表观毒素活性,而且还可以抵抗其他昆虫物种。 优选地,钙粘蛋白是苏云金芽孢杆菌(B.t.)杀虫晶体蛋白(Cry)毒素受体。 优选地,肽片段是受体的结合结构域。 在一些优选的实施方案中,肽是最接近膜近端胞外域的结合结构域。 相应的域可以在各种B.t. 毒素受体。