Multi-label active learning
    61.
    发明授权
    Multi-label active learning 有权
    多标签主动学习

    公开(公告)号:US08086549B2

    公开(公告)日:2011-12-27

    申请号:US11958050

    申请日:2007-12-17

    CPC classification number: G06N99/005

    Abstract: Multi-label active learning may entail training a classifier with a set of training samples having multiple labels per sample. In an example embodiment, a method includes accepting a set of training samples, with the set of training samples having multiple respective samples that are each respectively associated with multiple labels. The set of training samples is analyzed to select a sample-label pair responsive to at least one error parameter. The selected sample-label pair is then submitted to an oracle for labeling.

    Abstract translation: 多标签主动学习可能需要对分类器训练一组具有每个样本的多个标签的训练样本。 在示例实施例中,一种方法包括接受一组训练样本,其中该组训练样本具有多个相应样本,每个样本分别与多个标签相关联。 分析该组训练样本以响应于至少一个误差参数来选择样本标签对。 然后将选定的样品标签对提交给oracle进行标记。

    Combined digital and mechanical tracking of a person or object using a single video camera
    62.
    发明授权
    Combined digital and mechanical tracking of a person or object using a single video camera 有权
    使用单个摄像机对人物或物体的组合数字和机械跟踪

    公开(公告)号:US08085302B2

    公开(公告)日:2011-12-27

    申请号:US11284496

    申请日:2005-11-21

    CPC classification number: H04N7/185 G08B13/19667 H04N7/188

    Abstract: A combined digital and mechanical tracking system and process for generating a video using a single digital video camera that tracks a person or object of interest moving in a scene is presented. This generally involves operating the camera at a higher resolution than is needed for the application, and cropping a sub-region out of the image captured that is output as the output video. The person or object being tracked is at least partially contained within the cropped sub-region. As the person or object moves within the field of view of the camera, the location of the cropped sub-region is also moved so as to keep the subject of interest within its boundaries. When the subject of interest moves to the boundary of the FOV of the camera, the camera is mechanically panned to keep the person or object inside its FOV.

    Abstract translation: 呈现了组合的数字和机械跟踪系统和用于使用跟踪在场景中移动的感兴趣的对象的单个数字摄像机生成视频的过程。 这通常涉及以比应用所需要的更高的分辨率来操作相机,以及从作为输出视频输出的捕获的图像中剪切一个子区域。 被跟踪的人或物体至少部分地包含在裁剪的子区域内。 随着人或物体在照相机的视场内移动,裁剪的子区域的位置也被移动,以将感兴趣的对象保持在其边界内。 当感兴趣的主题移动到相机的FOV的边界时,相机被机械地平移以将人或物体保持在其FOV内。

    Detect-point-click (DPC) based gaming systems and techniques
    63.
    发明授权
    Detect-point-click (DPC) based gaming systems and techniques 有权
    基于检测点击(DPC)的游戏系统和技术

    公开(公告)号:US07892079B2

    公开(公告)日:2011-02-22

    申请号:US10915181

    申请日:2004-08-10

    Abstract: Disclosed are a unique DPC (detect point click) based game system and method. The DPC based game system involves generating one or a plurality of DPC images, presenting them to a game participant, and collecting the participant's clicks (that identify which object in the DPC image the participant believes to be the correct DPC object), and determining whether the participant's clicks represent the correct object. DPC images can be created in part by selecting a base image, altering some portion of the base image to create at least one confusion image, mapping these images to a geometric model, and applying one or more distortion filters to at least one of the base or confusing image to obscure the DPC object from clear view. Locating the DPC object nearly hidden in the DPC image can advance the participant in the DPC based game or other game including DPC images as a part thereof.

    Abstract translation: 公开了一种基于独特的DPC(检测点点击)的游戏系统和方法。 基于DPC的游戏系统涉及生成一个或多个DPC图像,将其呈现给游戏参与者,并收集参与者的点击(识别参与者认为是正确的DPC对象的DPC图像中的哪个对象),以及确定是否 参与者的点击代表正确的对象。 DPC图像可以部分地通过选择基本图像来创建,改变基本图像的一些部分以创建至少一个混淆图像,将这些图像映射到几何模型,以及将一个或多个失真滤波器应用于基底中的至少一个 或令人困惑的图像从清晰的视图来掩盖DPC对象。 将DPC对象几乎隐藏在DPC图像中可以将参与者推送到基于DPC的游戏或其他游戏中,其中包括DPC图像作为其一部分。

    KERNELIZED SPATIAL-CONTEXTUAL IMAGE CLASSIFICATION
    64.
    发明申请
    KERNELIZED SPATIAL-CONTEXTUAL IMAGE CLASSIFICATION 有权
    识别空间 - 上下文图像分类

    公开(公告)号:US20100074537A1

    公开(公告)日:2010-03-25

    申请号:US12237298

    申请日:2008-09-24

    CPC classification number: G06K9/469 G06K9/6297

    Abstract: Kernelized spatial-contextual image classification is disclosed. One embodiment comprises generating a first spatial-contextual model to represent a first image, the first spatial-contextual model having a plurality of interconnected nodes arranged in a first pattern of connections with each node connected to at least one other node, generating a second spatial-contextual model to represent a second image using the first pattern of connections, and estimating the distance between corresponding nodes in the first spatial-contextual model and the second spatial-contextual model based on a relationship with adjacent connected nodes to determine a distance between the first image and the second image.

    Abstract translation: 公开了内核空间上下文图像分类。 一个实施例包括生成第一空间上下文模型以表示第一图像,第一空间上下文模型具有以与连接到至少一个其他节点的每个节点连接的第一连接方式布置的多个互连节点,产生第二空间 - 使用所述第一连接模式来表示第二图像,以及基于与相邻连接节点的关系来估计所述第一空间 - 上下文模型中的对应节点与所述第二空间 - 上下文模型之间的距离,以确定所述第二图像之间的距离 第一个图像和第二个图像。

    Image retrieval based on relevance feedback
    65.
    发明授权
    Image retrieval based on relevance feedback 有权
    基于相关性反馈的图像检索

    公开(公告)号:US07613686B2

    公开(公告)日:2009-11-03

    申请号:US10973141

    申请日:2004-10-26

    Applicant: Yong Rui

    Inventor: Yong Rui

    Abstract: An improved image retrieval process based on relevance feedback uses a hierarchical (per-feature) approach in comparing images. Multiple query vectors are generated for an initial image by extracting multiple low-level features from the initial image. When determining how closely a particular image in an image collection matches the initial image, a distance is calculated between the query vectors and corresponding low-level feature vectors extracted from the particular image. Once these individual distances are calculated, they are combined to generate an overall distance that represents how closely the two images match. According to other aspects, relevancy feedback received regarding previously retrieved images is used during the query vector generation and the distance determination to influence which images are subsequently retrieved.

    Abstract translation: 基于相关性反馈的改进的图像检索过程在比较图像中使用分层(每特征)方法。 通过从初始图像中提取多个低级特征,为初始图像生成多个查询向量。 当确定图像集合中的特定图像与初始图像相匹配时,在从特定图像提取的查询向量和对应的低级特征向量之间计算距离。 一旦这些单独的距离被计算,它们被组合以产生表示两个图像匹配的距离。 根据其他方面,在查询向量生成期间使用关于先前检索到的图像的相关性反馈,并且距离确定以影响随后检索哪些图像。

    Correlative Multi-Label Image Annotation
    67.
    发明申请
    Correlative Multi-Label Image Annotation 有权
    相关多标签图像注释

    公开(公告)号:US20090083010A1

    公开(公告)日:2009-03-26

    申请号:US12030616

    申请日:2008-02-13

    CPC classification number: G06F17/30799 G06K9/00711

    Abstract: Correlative multi-label image annotation may entail annotating an image by indicating respective labels for respective concepts. In an example embodiment, a classifier is to annotate an image by implementing a labeling function that maps an input feature space and a label space to a combination feature vector. The combination feature vector models both features of individual ones of the concepts and correlations among the concepts.

    Abstract translation: 相关多标签图像注释可能需要通过针对相应概念指示相应的标签来注释图像。 在示例实施例中,分类器是通过实现将输入特征空间和标签空间映射到组合特征向量的标记功能来注释图像。 组合特征向量模拟各个概念的特征和概念之间的相关性。

    COLLABORATIVE INTEGRATED DEVELOPMENT ENVIRONMENT USING PRESENCE INFORMATION
    68.
    发明申请
    COLLABORATIVE INTEGRATED DEVELOPMENT ENVIRONMENT USING PRESENCE INFORMATION 审中-公开
    使用存在信息的协同集成开发环境

    公开(公告)号:US20080005235A1

    公开(公告)日:2008-01-03

    申请号:US11428080

    申请日:2006-06-30

    CPC classification number: H04L67/24 G06Q10/10

    Abstract: A system and process for providing a network and computer-based integrated development environment is presented that provides collaboration and information sharing for development project team members. Generally, this is accomplished by integrating a presence and activity awareness information module, a collaboration tools module, and a user interface into a single environment that is accessible over a distributed network and serves as a virtual development complex. The information module continuously collects, monitors and analyzes information about the presence of each team member and their activity in the project. The tools module provides a wide range of facilities for synchronous and asynchronous collaboration and information sharing between team members. Thus, all team members who use the virtual complex for their development work on the project can collaborate and interactively share required information regardless of their geographic and/or temporal disparity, and without having to leave the virtual development complex.

    Abstract translation: 提供了一个提供网络和基于计算机的集成开发环境的系统和过程,为开发项目团队成员提供协作和信息共享。 通常,这是通过将存在和活动感知信息模块,协作工具模块和用户界面集成到可通过分布式网络访问并用作虚拟开发组合的单个环境中来实现的。 信息模块不断收集,监控和分析有关每个团队成员的存在及其在项目中的活动的信息。 工具模块为团队成员之间的同步和异步协作和信息共享提供了广泛的设施。 因此,使用虚拟复合体进行项目开发工作的所有团队成员都可以协作和交互地共享所需信息,而不管其地理和/或时间差异如何,而无需离开虚拟开发复杂。

    BACKGROUND BLURRING FOR VIDEO CONFERENCING
    69.
    发明申请
    BACKGROUND BLURRING FOR VIDEO CONFERENCING 有权
    背景影像视频会议

    公开(公告)号:US20070286520A1

    公开(公告)日:2007-12-13

    申请号:US11422693

    申请日:2006-06-07

    CPC classification number: G06K9/00228 H04N7/147

    Abstract: Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.

    Abstract translation: 背景模糊是在视频会议中保持隐私和保持通信有效的有效方式。 目前的图像背景模糊技术是使用与对象(例如脸部)检测器/跟踪器组合的快速背景建模过程来执行背景模糊的轻量级实时技术。 基于多个视觉特征,在每个像素上做出软判决是否属于前景或背景。 分类结果映射到每像素模糊半径图像以模糊背景。 在另一个实施例中,图像背景模糊技术在不使用对象检测器的情况下模糊图像的背景。

    DECENTRALIZED ARCHITECTURE AND PROTOCOL FOR VOICE CONFERENCING
    70.
    发明申请
    DECENTRALIZED ARCHITECTURE AND PROTOCOL FOR VOICE CONFERENCING 有权
    分散式架构和语音会议协议

    公开(公告)号:US20070237099A1

    公开(公告)日:2007-10-11

    申请号:US11277905

    申请日:2006-03-29

    CPC classification number: H04L12/1822 H04L67/104 H04L67/1061

    Abstract: A decentralized computer network architecture and method that gathers metadata from local and remote clients and, based on that metadata, locally makes a decision whether to send a packet over the network. Each client listens to what other clients are doing, and only sends when the total number of concurrent speakers is below some threshold. In a multi-party voice conferencing embodiment, the threshold is a number of concurrent speakers that is restricted to less than a certain number. Under the decentralized computer network architecture, the type of network topology used to connect the clients is flexible, as long as each client is running a peer-aware system to decide locally whether to send their packets. The decentralized computer network architecture and method is distributed to run on each client, making it suitable for a wide variety of network topologies (such as full-mesh, bridge-based, or a hybrid of the two).

    Abstract translation: 从本地和远程客户端收集元数据的分散计算机网络架构和方法,并且基于该元数据在本地做出是否通过网络发送分组的决定。 每个客户端监听其他客户端正在执行的操作,只有当并发扬声器的总数低于某个阈值时才发送。 在多方语音会议实施例中,阈值是限制在小于一定数量的并发扬声器的数量。 在分散式计算机网络架构下,用于连接客户端的网络拓扑的类型是灵活的,只要每个客户端都运行一个对等体感知系统来本地确定是否发送它们的数据包。 分布式计算机网络架构和方法分布在每个客户端上运行,使其适用于各种网络拓扑(如全网状,基于桥接或两者混合)。

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