会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 16. 发明申请
    • Method and system for image border color selection
    • 图像边框颜色选择的方法和系统
    • US20060257023A1
    • 2006-11-16
    • US11127277
    • 2005-05-12
    • Pere Obrador
    • Pere Obrador
    • G06K9/34
    • H04N1/62
    • An exemplary method for selecting a color of a border surrounding an image, includes segmenting the image into regions, selecting a region not containing any color that is present at an outer edge of the image in an amount exceeding a threshold value, and selecting a border color based on a color of the selected region. Another exemplary method includes segmenting the image into regions, selecting a region color not present at an outer edge of the image in an amount exceeding a threshold value, and selecting a border color based on the selected region color. An exemplary system includes a memory for storing the image, and a processor for segmenting the image into regions, selecting a region not containing any color that is present at an outer edge of the image in an amount exceeding a threshold value, and selecting a border color based on a color of the selected region.
    • 用于选择围绕图像的边框的颜色的示例性方法包括将图像分割成区域,选择不超过阈值的量存在于图像的外边缘的任何颜色的区域,以及选择边界 基于所选区域的颜色的颜色。 另一示例性方法包括将图像分割成区域,以超过阈值的量选择不存在于图像的外边缘处的区域颜色,以及基于所选择的区域颜色来选择边框颜色。 示例性系统包括用于存储图像的存储器和用于将图像分割成区域的处理器,选择不超过阈值的量存在于图像的外边缘处的任何颜色的区域,以及选择边界 基于所选区域的颜色的颜色。
    • 19. 发明授权
    • Efficient storage of dithered raster image data in a printer or the like
    • 将抖动光栅图像数据高效地存储在打印机等中
    • US6137589A
    • 2000-10-24
    • US137714
    • 1998-08-21
    • Pere ObradorJordi GonzalezJae Noh
    • Pere ObradorJordi GonzalezJae Noh
    • G06T9/00H04N1/411B41B15/00B41J15/00G06F15/00
    • G06T9/007H04N1/411
    • Already stored uncompressed raster data are selectively compressed before any new raster data can be processed and stored. Both compressed and uncompressed raster data is preferably stored in the same size blocks, and the Raster Objects are preferably divided at Render Swath boundaries. Assuming that the Raster Object data has been or will be compressed by means of a known dither matrix, that dither matrix is used in the compression process to eliminate all but the data essential to reconstruct the dithered image, and the pixels of the original image are preferably successively processed along a predetermined scan path and the resultant linear pixel array is divided into successive runs which may each be encoded such that when those encoded runs are assembled into a replica of the original image and both the original image and the replica image are dithered with the same predetermined dither matrix, the dithered replica image is identical to the dithered original image. The dither-matrix based compression of the raster data is preferably followed by Golomb Rice compression.
    • 在可以处理和存储任何新的光栅数据之前,已经存储的未压缩光栅数据被选择性地压缩。 压缩和未压缩的栅格数据都优选地存储在相同大小的块中,并且栅格对象优选地在渲染栅极边界处被划分。 假设光栅对象数据已经或将通过已知的抖动矩阵进行压缩,则在压缩处理中使用该抖动矩阵以消除重建抖动图像所必需的所有数据,并且原始图像的像素为 优选地沿着预定扫描路径连续处理,并且所得到的线性像素阵列被划分成连续的运行,每个运行可以被编码,使得当这些编码的运行被组装成原始图像的副本并且原始图像和副本图像都被抖动 使用相同的预定抖动矩阵,抖动的复制图像与抖动的原始图像相同。 栅格数据的基于抖动矩阵的压缩优选地跟随着Golomb Rice压缩。
    • 20. 发明授权
    • Method for classification of videos
    • 视频分类方法
    • US08942469B2
    • 2015-01-27
    • US13807375
    • 2011-06-29
    • Anush MoortyPere ObradorNuria Oliver Ramirez
    • Anush MoortyPere ObradorNuria Oliver Ramirez
    • G06K9/62G06K9/00G06K9/03
    • G06K9/00536G06K9/00711G06K9/036G06K9/6231
    • A method for classifying a video regarding a subjective characteristic, the method comprising: measuring a plurality of basic features (11) per frame thus obtaining a plurality of basic features measurements; creating a plurality of second-level features by pooling (12) said basic features (11) measurements using a plurality of statistics of said basic features measurements in a determined period of time of footage; creating a plurality of video features by pooling (13) said plurality of second-level features using a plurality of statistics of said second level features along the duration of the video; choosing at least one video feature of said plurality of video features for classifying a video regarding a subjective characteristic.
    • 一种用于对关于主观特征的视频进行分类的方法,所述方法包括:测量每帧的多个基本特征(11),从而获得多个基本特征测量; 通过在确定的镜头时间段内使用所述基本特征测量的多个统计量来汇集(12)所述基本特征(11)测量来创建多个第二级特征; 通过在所述视频的持续时间内使用所述第二级特征的多个统计来汇集(13)所述多个第二级特征来创建多个视频特征; 选择所述多个视频特征中的至少一个视频特征,用于对关于主观特征的视频进行分类。