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    • 1. 发明授权
    • Use of the green fluorescent protein as a screenable marker for plant transformation
    • 使用绿色荧光蛋白作为植物转化的可筛选标记
    • US06486382B1
    • 2002-11-26
    • US09214909
    • 1999-12-20
    • William Gordan-KammDorothy A. PierceBenjamin BowenDennis BidneyMargit RossChristopher ScelongeMichael D. MillerGary SandahlLijuan Wang
    • William Gordan-KammDorothy A. PierceBenjamin BowenDennis BidneyMargit RossChristopher ScelongeMichael D. MillerGary SandahlLijuan Wang
    • C12N1582
    • C12N15/8216C07K14/43595C12N15/8209C12N15/8212C12N15/8213
    • A method for the production of transgenic plants is provided in which a vector carrying a gene encoding the green fluorescent protein is introduced into cells, the cells are screened for the protein and transformed cells are selected and regenerated. The cellular toxicity of the green fluorescent protein is circumvented by regulating expression of the gene encoding the protein or directing the protein to a subcellular compartment where it is not toxic to the cell. DNA constructs are provided for cell transformation in which the expression of a gene encoding the green fluorescent protein is placed under the control of an inducible promoter. In addition, DNA constructs are provided in which a nucleotide sequence encoding the green fluorescent protein is operably linked to a signal sequence which directs the expressed protein to a subcellular compartment where the protein is not toxic to the cell. Oxidative stress to plant cells transformed with GFP also can be ameliorated by transforming cells with an expression vector comprising genes encoding GFP and an oxygen scavenger enzyme such as superoxide dismutase. The toxicity of GFP in transformed plants can be eliminated by excising the screenable marker gene following detection of transformed cells or sectors. The FLP/FRT system is used in conjunction with GFP as a visible marker for transformation and FRT excision. A nucleotide sequence optimized for expression of the green fluorecent protein in plants is also provided.
    • 提供了一种用于生产转基因植物的方法,其中将携带编码绿色荧光蛋白的基因的载体导入细胞,筛选细胞以进行蛋白质,并选择和再生转化的细胞。 绿色荧光蛋白的细胞毒性通过调节编码蛋白质的基因的表达或引导蛋白质转移到对细胞无毒性的亚细胞区域来避免。 提供DNA构建体用于细胞转化,其中将编码绿色荧光蛋白的基因的表达置于诱导型启动子的控制之下。 此外,提供了DNA构建体,其中编码绿色荧光蛋白的核苷酸序列可操作地连接到将表达的蛋白质导向亚细胞区域的信号序列,其中蛋白质对细胞无毒性。 用GFP转化的植物细胞的氧化应激也可以通过用包含编码GFP和氧清除酶如超氧化物歧化酶的基因的表达载体转化细胞来改善。 通过在检测到转化的细胞或部分后切除可筛选标记基因,可以消除GFP在转化植物中的毒性。 FLP / FRT系统与GFP结合使用,作为转化和FRT切除的可见标记。 还提供了优化用于植物中绿色荧光蛋白表达的核苷酸序列。
    • 2. 发明申请
    • PHOTO-REALISTIC SYNTHESIS OF IMAGE SEQUENCES WITH LIP MOVEMENTS SYNCHRONIZED WITH SPEECH
    • 具有与语音同步的LIP运动的图像序列的照片 - 现实综合
    • US20120284029A1
    • 2012-11-08
    • US13098488
    • 2011-05-02
    • Lijuan WangFrank Soong
    • Lijuan WangFrank Soong
    • G10L21/00
    • G10L21/10G10L2021/105
    • Audiovisual data of an individual reading a known script is obtained and stored in an audio library and an image library. The audiovisual data is processed to extract feature vectors used to train a statistical model. An input audio feature vector corresponding to desired speech with which a synthesized image sequence will be synchronized is provided. The statistical model is used to generate a trajectory of visual feature vectors that corresponds to the input audio feature vector. These visual feature vectors are used to identify a matching image sequence from the image library. The resulting sequence of images, concatenated from the image library, provides a photorealistic image sequence with lip movements synchronized with the desired speech.
    • 读取已知脚本的个人的视听数据被获取并存储在音频库和图像库中。 处理视听数据以提取用于训练统计模型的特征向量。 提供了与合成图像序列将被同步的期望语音相对应的输入音频特征向量。 统计模型用于生成对应于输入音频特征向量的视觉特征向量的轨迹。 这些视觉特征向量用于识别来自图像库的匹配图像序列。 从图像库连接的所得到的图像序列提供了与期望语音同步的唇部运动的照片级逼真图像序列。
    • 3. 发明申请
    • Minimum Converted Trajectory Error (MCTE) Audio-to-Video Engine
    • 最小转换轨迹误差(MCTE)音频到视频引擎
    • US20120116761A1
    • 2012-05-10
    • US12939528
    • 2010-11-04
    • Lijuan WangFrank Kao-Ping Soong
    • Lijuan WangFrank Kao-Ping Soong
    • G10L15/00
    • G10L21/06G10L21/10G10L2021/105
    • Embodiments of an audio-to-video engine are disclosed. In operation, the audio-to-video engine generates facial movement (e.g., a virtual talking head) based on an input speech. The audio-to-video engine receives the input speech and recognizes the input speech as a source feature vector. The audio-to-video engine then determines a Maximum A Posterior (MAP) mixture sequence based on the source feature vector. The MAP mixture sequence may be a function of a refined Gaussian Mixture Model (GMM). The audio-to-video engine may then use the MAP to estimate video feature parameters. The video feature parameters are then interpreted as facial movement. The facial movement may be stored as data to a storage module and/or it may be displayed as video to a display device.
    • 公开了音频到视频引擎的实施例。 在操作中,音频到视频引擎基于输入语音产生面部动作(例如,虚拟通话头)。 音频到视频引擎接收输入语音并将输入语音识别为源特征向量。 音频到视频引擎然后基于源特征向量确定最大后验(MAP)混合序列。 MAP混合序列可以是精细高斯混合模型(GMM)的函数。 音频到视频引擎然后可以使用MAP估计视频特征参数。 视频功能参数被解释为面部动作。 面部运动可以作为数据存储到存储模块和/或其可以作为视频显示到显示装置。