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    • 42. 发明申请
    • Method and Apparatus for Transmitting Signals in a Multiple Antennas System
    • 用于在多个天线系统中发射信号的方法和装置
    • US20110044402A1
    • 2011-02-24
    • US12782294
    • 2010-05-18
    • Xuezhi YangWei Jiang
    • Xuezhi YangWei Jiang
    • H04L27/00
    • H04B7/0617H04B7/0408H04B7/0434H04L1/0668
    • A method and apparatus for transmitting signals in a Multiple Antennas System (MAS) are disclosed. The method includes performing Alamouti coding on each group of common channel symbols to form two branches; selecting different weight vectors for different branches to perform beamforming, obtaining transmitting signals of each branch on each antenna, where beam modes corresponding to different weight vectors are uncorrelated and the peak-to-average power ratio of angle dimension of the two beam modes are lower than a preset threshold; and superimposing the transmitting signals of these two branches on each antenna, and transmitting the superimposed signals. In the present invention, the Alamouti coding is introduced, and a spatial diversity gain is generated by using the independence of two virtual channels. Thus, the performance of the MAS in full coverage is enhanced.
    • 公开了一种用于在多天线系统(MAS)中发送信号的方法和装置。 该方法包括对每组公共信道符号执行Alamouti编码以形成两个分支; 为不同的分支选择不同的权重向量来执行波束形成,获得每个天线上每个分支的发射信号,其中对应于不同加权矢量的波束模式是不相关的,并且两个波束模式的角度尺寸的峰值与平均功率比较低 超过预设阈值; 并将这两个分支的发送信号叠加在每个天线上,并发送叠加的信号。 在本发明中,引入了Alamouti编码,并且通过使用两个虚拟信道的独立性来生成空间分集增益。 因此,全面覆盖的MAS的性能得到提高。
    • 44. 发明申请
    • Image-Based Advertisement Platform
    • 基于图像的广告平台
    • US20100208997A1
    • 2010-08-19
    • US12371640
    • 2009-02-16
    • Xing XieMatthew R. ScottDechao LiuWei JiangJonathan Tien
    • Xing XieMatthew R. ScottDechao LiuWei JiangJonathan Tien
    • G06K9/46G06K9/68
    • G06Q30/02
    • Described is an image centric advertisement platform and technology in which input images are matched to advertisements based on actual visible content (e.g., corresponding to features) within the image. Advertisers upload and bid on advertiser-provided images that correspond to advertisements. When an input image is received, such as a result of user interaction with web content or transmission of the image by a user, (e.g., via MMS), the image is matched to an advertiser images, such as via feature-based image matching. An index based upon the features may be used for efficiently locating the advertisement or advertisements. Also described is a tool for advertisers to use in creating a new scene based upon an uploaded image, or for adding the uploaded image to an existing scene.
    • 描述了一种以图像为中心的广告平台和技术,其中输入图像基于图像内的实际可见内容(例如,对应于特征)与广告匹配。 广告商上传并针对与广告相对应的广告商提供的图片进行出价。 当接收到输入图像(例如用户与网页内容的交互或由用户传输图像的结果)(例如,经由MMS)时,该图像与诸如经由基于特征的图像匹配的广告客户图像匹配 。 可以使用基于特征的索引来有效地定位广告或广告。 还描述了广告商根据上传的图像创建新场景或将上传的图像添加到现有场景中的工具。
    • 48. 发明申请
    • SEMANTIC EVENT DETECTION USING CROSS-DOMAIN KNOWLEDGE
    • 使用跨域知识的语义事件检测
    • US20090299999A1
    • 2009-12-03
    • US12408140
    • 2009-03-20
    • Alexander C. LouiWei Jiang
    • Alexander C. LouiWei Jiang
    • G06F17/30
    • G06F17/30256G06F17/30802G06F17/30805G06F17/30808G06K9/00664G06K9/00711
    • A method for facilitating semantic event classification of a group of image records related to an event. The method using an event detector system for providing: extracting a plurality of visual features from each of the image records; wherein the visual features include segmenting an image record into a number of regions, in which the visual features are extracted; generating a plurality of concept scores for each of the image records using the visual features, wherein each concept score corresponds to a visual concept and each concept score is indicative of a probability that the image record includes the visual concept; generating a feature vector corresponding to the event based on the concept scores of the image records; and supplying the feature vector to an event classifier that identifies at least one semantic event classifier that corresponds to the event.
    • 一种用于促进与事件相关的一组图像记录的语义事件分类的方法。 该方法使用事件检测器系统来提供:从每个图像记录提取多个视觉特征; 其中所述视觉特征包括将图像记录分割成其中提取所述视觉特征的多个区域; 使用所述视觉特征为每个所述图像记录生成多个概念分数,其中每个概念分数对应于视觉概念,并且每个概念分数指示所述图像记录包括所述视觉概念的概率; 基于所述图像记录的概念分数生成与所述事件相对应的特征向量; 以及将特征向量提供给识别与该事件相对应的至少一个语义事件分类器的事件分类器。