ACCELERATION METHOD FOR DATABASE USING INDEX VALUE OPERATION AND MIXED-MODE LEVELED CACHE
    1.
    发明申请
    ACCELERATION METHOD FOR DATABASE USING INDEX VALUE OPERATION AND MIXED-MODE LEVELED CACHE 审中-公开
    使用索引值操作和混合模式高速缓存的数据库加速方法

    公开(公告)号:US20160132535A1

    公开(公告)日:2016-05-12

    申请号:US14808131

    申请日:2015-07-24

    CPC classification number: G06F16/24552 G06F16/22 G06F16/2255

    Abstract: The present invention provides an acceleration method for database using index value operation and mixed-mode leveled cache. While building a database, an algorithm is adopted for operating a plurality of field conditions and giving an index value. At least a file record in the database satisfying the plurality of field conditions is related to the index value. While querying, the input plurality of field conditions are operated using the algorithm, giving the index value. According to the index value, the file records in the database satisfying the plurality of field conditions are listed. Thereby, the time for comparing the plurality of fields can be saved.

    Abstract translation: 本发明提供了使用索引值操作和混合模式级别缓存的数据库的加速方法。 在构建数据库的过程中,采用算法来操作多个场条件并给出索引值。 至少满足多个场条件的数据库中的文件记录与索引值相关。 在查询时,使用算法对输入的多个场条件进行操作,给出索引值。 根据索引值,列出满足多个场条件的数据库中的文件记录。 由此,可以节省用于比较多个场的时间。

    DISTRIBUTED AUTOMATIC NOTIFICATION METHOD FOR ABNORMALITY IN REMOTE MASSIVE MONITORS
    3.
    发明申请
    DISTRIBUTED AUTOMATIC NOTIFICATION METHOD FOR ABNORMALITY IN REMOTE MASSIVE MONITORS 有权
    分布式自动通知方法,用于远程监控中的异常

    公开(公告)号:US20160314590A1

    公开(公告)日:2016-10-27

    申请号:US14803219

    申请日:2015-07-20

    Abstract: The present invention discloses a distributed automatic notification method for abnormality in remote massive monitors. If a data stream is not available, a disconnect prompt stream is generated. The data stream is converted to a continuous video. Then, the continuous video is divided into a plurality of single-frame images along the time axis, and each single-frame image is divided into a plurality of image grids. A plurality of pixels are next selected from each image grid. According to a plurality of image parameter values corresponding to the plurality of pixels, a statistical value of image grid parameter is calculated. Then whether an image grid is monochromatic can be judged according to the statistical value of image grid parameter. When a plurality of continuous single-frame images are judged to be monochromatic single-frame images, the color of the monochromatic single-frame images can be further judged.

    Abstract translation: 本发明公开了一种用于远程海量监视器异常的分布式自动通知方法。 如果数据流不可用,则会生成断开提示流。 数据流被转换为连续的视频。 然后,连续视频沿着时间轴被分割为多个单帧图像,并且每个单帧图像被分成多个图像网格。 接下来从每个图像网格中选择多个像素。 根据与多个像素对应的多个图像参数值,计算图像网格参数的统计值。 那么图像网格是否是单色的,可以根据图像网格参数的统计值来判断。 当多个连续单帧图像被判断为单色单帧图像时,可以进一步判断单色单帧图像的颜色。

    SEARCH METHOD FOR VIDEO CLIP
    4.
    发明申请
    SEARCH METHOD FOR VIDEO CLIP 有权
    视频剪辑的搜索方法

    公开(公告)号:US20140099023A1

    公开(公告)日:2014-04-10

    申请号:US13709232

    申请日:2012-12-10

    CPC classification number: G06F17/30802

    Abstract: The present invention provide an automatic, frame-by-frame, rapid, and accurate search method for video clip. It comprises the following steps. First, acquire and store a plurality of videos to a storage unit. Each video comprises a plurality of frames, respectively. Then, a processing unit extracts the characteristics of the plurality of frames and gives a plurality of characteristic values. Next, the processing unit calculates a plurality of difference values between the characteristic value of each frame and that of the previous frame and between the characteristic value of the subsequent frame and that of the current frame. Store a data set, which is produced by corresponding the plurality of difference values between all frames of each video to the time axis, to the storage unit. Finally, the processing unit compares a data set of any video with a plurality of data sets of other videos and gives a search result.

    Abstract translation: 本发明提供了一种用于视频剪辑的自动逐帧,快速,准确的搜索方法。 它包括以下步骤。 首先,将多个视频获取并存储到存储单元。 每个视频分别包括多个帧。 然后,处理单元提取多个帧的特性并给出多个特征值。 接下来,处理单元计算各帧的特征值与前一帧的特征值之间以及后续帧的特征值与当前帧的特征值之间的多个差值。 存储通过将每个视频的所有帧之间的多个差值对应于时间轴而产生的数据集存储到存储单元。 最后,处理单元将任何视频的数据集与其他视频的多个数据集比较,并给出搜索结果。

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