SYSTEM AND METHOD FOR GENERATING A VIEWABLE VIDEO INDEX FOR LOW BANDWIDTH APPLICATIONS
    1.
    发明申请
    SYSTEM AND METHOD FOR GENERATING A VIEWABLE VIDEO INDEX FOR LOW BANDWIDTH APPLICATIONS 审中-公开
    用于为低带宽应用生成可视视频索引的系统和方法

    公开(公告)号:WO2005081127A3

    公开(公告)日:2005-11-03

    申请号:PCT/EP2005050757

    申请日:2005-02-22

    Abstract: A system and method for generating a viewable video index for low bandwidth applications are provided. The exemplary aspects of the present invention solve the problems with the prior art systems by incorporating information for generating a viewable representation of the video data into the index, thus generating a viewable video index. The viewable video index contains information for generating a visual representation of moving objects in the video data, a visual representation of the background of the video capture area, i.e. the scene, a representation of the object trajectory, a representation of the object attributes, and a representation of detected events. The result is that the viewable video index may be transmitted to a low bandwidth application on a client device and may be used along with associated object and background models to generate a representation of the actual video data without requiring that the original video data itself be streamed to the client device.

    Abstract translation: 提供了一种用于为低带宽应用生成可视视频索引的系统和方法。 本发明的示例性方面通过将用于生成视频数据的可视表示的信息并入索引来解决现有技术系统的问题,从而生成可观看的视频索引。 可视视频索引包含用于生成视频数据中的移动对象的视觉表示,视频捕获区域的背景(即场景)的视觉表示,对象轨迹的表示,对象属性的表示以及 检测到的事件的表示。 结果是可以将可视视频索引传输到客户端设备上的低带宽应用,并且可以与关联的对象和背景模型一起使用以生成实际视频数据的表示,而不需要原始视频数据本身被流化 到客户端设备。

    SEMANTIC PARSING OF OBJECTS IN VIDEO
    4.
    发明申请
    SEMANTIC PARSING OF OBJECTS IN VIDEO 审中-公开
    视频中的对象语义分离

    公开(公告)号:WO2012013711A3

    公开(公告)日:2013-02-21

    申请号:PCT/EP2011062925

    申请日:2011-07-27

    Abstract: The invention provides an improved method to detect semantic attributes of human body in computer vision. In detecting semantic attributes of human body in computer vision, the invention maintains a list of semantic attributes, each of which corresponds to a human body part. A computer module then analyzes segments of a frame of a digital video to detect each semantic attribute by finding a most likely attribute for each segment. A threshold is applied to select candidate segments of the frame for further analysis. The candidate segments of the frame then go through geometric and resolution context analysis by applying the physical structure principles of a human body and by analyzing increasingly higher resolution versions of the image to verify the existence and accuracy of parts and attributes. A computer module computes a resolution context score for a lower resolution version of the image based on a weighted average score computed for a higher resolution version of the image by evaluating appearance features, geometric features, and resolution context features when available on the higher resolution version of the image. Finally, an optimal configuration step is performed via dynamic programming to select an optimal output with both semantic attributes and spatial positions of human body parts on the frame.

    Abstract translation: 本发明提供了一种用于检测计算机视觉中人体语义属性的改进方法。 在检测计算机视觉中人体的语义属性时,本发明保留了语义属性的列表,每个语义属性对应于人体部分。 然后,计算机模块通过为每个段找到最可能的属性来分析数字视频的帧的段以检测每个语义属性。 应用阈值来选择帧的候选片段用于进一步分析。 然后,帧的候选片段通过应用人体的物理结构原理并通过分析图像的越来越高的分辨率版本来验证部件和属性的存在和准确性来进行几何和分辨率上下文分析。 计算机模块基于通过在更高分辨率版本上可用时评估外观特征,几何特征和分辨率上下文特征来计算针对图像的较高分辨率版本的加权平均得分,来计算图像的较低分辨率版本的分辨率上下文得分 的图像。 最后,通过动态规划执行最佳配置步骤,以选择具有框架上人体部位的语义属性和空间位置的最优输出。

    SYSTEM AND METHOD OF SETTING IMAGE ACQUISITION CONTROLS FOR CAMERAS

    公开(公告)号:JP2002010135A

    公开(公告)日:2002-01-11

    申请号:JP2001112812

    申请日:2001-04-11

    Applicant: IBM

    Abstract: PROBLEM TO BE SOLVED: To provide an improved system and an improved method of setting image acquisition controls for cameras which set parameters for camera image acquisition apparatus. SOLUTION: The system and the method set parameters for a camera image acquisition apparatus using computer image processing means. As a skilled photographer, an image to be photographed is analyzed and controls are set according to a main theme, thus automatically setting imaging parameters. The system can operate in a full automatic mode which selects the best imaging parameter or in a 'guide mode' which prompts the user to select candidates, if many alternative settings are valid.

    Secure checkout method and system, and program
    7.
    发明专利
    Secure checkout method and system, and program 有权
    安全检查方法与系统及程序

    公开(公告)号:JP2010262653A

    公开(公告)日:2010-11-18

    申请号:JP2010102964

    申请日:2010-04-28

    CPC classification number: G07G1/12 G07G1/0018 G07G3/00

    Abstract: PROBLEM TO BE SOLVED: To provide visual security for POS terminals. SOLUTION: Items 12 to be purchased is scanned by a store assistant using a barcode reader 16 attached to or positioned near the checkout station. When the items are scanned, they are identified based on the barcodes 14, and added to an item list. Item verification can then be performed at checkout using imaging technology. Specifically, when the items are scanned, an item verification unit 18 captures an appearance thereof. Item verification software 22 within the item verification unit accesses a database that associates items with their images/appearances. The appearance is compared for consistency to the identity as determined based on the scan. The item verification unit is a separate unit from a cash register, but functions in cooperation therewith. COPYRIGHT: (C)2011,JPO&INPIT

    Abstract translation: 要解决的问题:为POS终端提供视觉安全。

    解决方案:要购买的商品12由商店助理使用连接到或位于结帐台附近的条形码阅读器16进行扫描。 当物品被扫描时,它们基于条形码14被识别,并被添加到项目列表中。 然后可以使用成像技术在结帐时执行项目验证。 具体来说,当物品被扫描时,物品验证单元18捕获其外观。 项目验证单元内的项目验证软件22访问将项目与其图像/外观相关联的数据库。 将外观与基于扫描确定的身份的一致性进行比较。 物品验证单元是与收银机分开的单元,但与其配合起作用。 版权所有(C)2011,JPO&INPIT

    Method for detecting abandoned object and removed object in video stream, and computer program, and computer system
    9.
    发明专利
    Method for detecting abandoned object and removed object in video stream, and computer program, and computer system 有权
    在视频流中检测丢弃对象和删除对象的方法,以及计算机程序和计算机系统

    公开(公告)号:JP2009230759A

    公开(公告)日:2009-10-08

    申请号:JP2009064765

    申请日:2009-03-17

    Abstract: PROBLEM TO BE SOLVED: To provide a method for processing a time-ordered sequence of video frames. SOLUTION: The method is implemented by execution of program code on a processor of a computer system. Each frame includes a two-dimensional array of pixels and a frame-dependent color intensity at each pixel. A current frame and at least one frame occurring prior to the current frame in the sequence are analyzed by a background subtraction on the at least one frame to determine a background image and a static region mask associated with a static region. The background subtraction determines an existence of a static object relating to the static region. A status of the static object is determined. The status may be either that the static object is an abandoned object or that the static object is a removed object. The determined status is stored in a data storage medium of the computer system. COPYRIGHT: (C)2010,JPO&INPIT

    Abstract translation: 要解决的问题:提供一种处理视频帧的时序序列的方法。 解决方案:该方法通过在计算机系统的处理器上执行程序代码来实现。 每个帧包括像素的二维阵列和每个像素处的依赖于帧的颜色强度。 在该序列中的当前帧之前发生的当前帧和至少一个帧通过在至少一个帧上的背景减法来分析,以确定与静态区域相关联的背景图像和静态区域掩模。 背景减法确定与静态区域相关的静态对象的存在。 确定静态对象的状态。 状态可能是静态对象是被放弃的对象,也可能是静态对象是被删除的对象。 所确定的状态存储在计算机系统的数据存储介质中。 版权所有(C)2010,JPO&INPIT

    RAILWAY TRACK GEOMETRY DEFECT MODELING FOR PREDICTING DETERIORATION, DERAILMENT RISK, AND OPTIMAL REPAIR
    10.
    发明申请
    RAILWAY TRACK GEOMETRY DEFECT MODELING FOR PREDICTING DETERIORATION, DERAILMENT RISK, AND OPTIMAL REPAIR 审中-公开
    铁路轨道几何缺陷建模预测失效风险和最优维修

    公开(公告)号:WO2014110099A3

    公开(公告)日:2014-10-16

    申请号:PCT/US2014010628

    申请日:2014-01-08

    Applicant: IBM

    Abstract: Geo-defect repair modeling is provided. A method includes logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected. The spatial dimensions include line segments of a specified length and the temporal dimensions include inspection run data for inspections performed for each of the line segments over a period of time. The method also includes creating a track deterioration model from the historical data, identifying geo-defects occurring at each inspection run from the track deterioration model, calculating a track deterioration condition from the track deterioration model by analyzing quantified changes in the geo-defects measured at each inspection run, and calculating a derailment risk based on track conditions determined from the inspection run data and the track deterioration condition. The method further includes determining a repair decision for each of the geo-defects based on the derailment risk and costs associated with previous comparable repairs.

    Abstract translation: 提供地质缺陷修复建模。 一种方法包括根据关于收集的历史数据的空间和时间维度在逻辑上划分铁路网络。 空间维度包括指定长度的线段,并且时间维度包括用于在一段时间内为每个线段执行的检查的检查运行数据。 该方法还包括从历史数据创建轨迹恶化模型,从轨迹恶化模型识别在每次检查运行中发生的地质缺陷,通过分析在轨迹恶化模型中测量的地质缺陷的量化变化,从轨迹恶化模型计算轨迹恶化条件 每次检查运行,并基于由检查运行数据和轨道恶化条件确定的轨道条件来计算脱轨风险。 该方法进一步包括基于脱轨风险和与先前类似修理相关联的成本确定每个地理缺陷的修理决定。

Patent Agency Ranking